Author: "David Bacon" / Topic: physics - Searchworks@Jio Institute Digital Library Search Results

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1. Dark energy survey year 3 results: weak lensing shape catalogue

Author: Peter Doel, Alexandra Amon, Joe Zuntz, Jack Elvin-Poole, M. Smith, Daniel Gruen, V. Scarpine, J. Carretero, Tamara M. Davis, H. T. Diehl, David Bacon, Niall MacCrann, I. Tutusaus, Tesla E. Jeltema, A. Navarro-Alsina, J. De Vicente, D. W. Gerdes, J. Gschwend, Daniel Thomas, Gary Bernstein, Marcos Lima, E. M. Huff, M. Gatti, W. C. Wester, Josh Frieman, R. Chen, Michel Aguena, Samuel Hinton, G. Gutierrez, David J. Brooks, R. P. Rollins, Matthew R. Becker, J. Prat, Ami Choi, Ben Hoyle, S. Samuroff, F. Paz-Chinchón, Santiago Avila, Chihway Chang, Antonella Palmese, M. A. G. Maia, E. Bertin, M. E. C. Swanson, S. Serrano, S. Pandey, S. Desai, Michael Schubnell, J. McCullough, M. Costanzi, D. L. Burke, J. P. Dietrich, Juan Garcia-Bellido, E. Suchyta, W. G. Hartley, Carlos Solans Sanchez, Christopher J. Conselice, S. Allam, Robert A. Gruendl, Ramon Miquel, Eli S. Rykoff, Jochen Weller, F. J. Castander, Richard G. Kron, T. Shin, D. L. Hollowood, T. M. C. Abbott, Elisabeth Krause, C. Doux, Chun-Hao To, E. J. Sanchez, A. A. Plazas, I. Ferrero, Matt J. Jarvis, K. Honscheid, S. Everett, L. F. Secco, M. Carrasco Kind, Martin Crocce, R. D. Wilkinson, Sunayana Bhargava, Risa H. Wechsler, J. Myles, David J. James, Jennifer L. Marshall, Agnès Ferté, Michael Troxel, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, Alex Drlica-Wagner, K. D. Eckert, T. N. Varga, Dragan Huterer, L. N. da Costa, Bhuvnesh Jain, J. Annis, Douglas L. Tucker, Erin Sheldon, Robert Morgan, G. Tarle, Ian Harrison, A. Roodman, Tommaso Giannantonio, A. Carnero Rosell, Gatti, M., Sheldon, E., Amon, A., Becker, M., Troxel, M., Choi, A., Doux, C., Maccrann, N., Navarro Alsina, A., Harrison, I., Gruen, D., Bernstein, G., Jarvis, M., Secco, L. F., Ferté, A., Shin, T., Mccullough, J., Rollins, R. P., Chen, R., Chang, C., Pandey, S., Tutusaus, I., Prat, J., Elvin-Poole, J., Sanchez, C., Plazas, A. A., Roodman, A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., da Costa, L. N., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Drlica-Wagner, A., Eckert, K., Everett, S., Ferrero, I., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huff, E. M., Huterer, D., Jain, B., James, D. J., Jeltema, T., Krause, E., Kron, R., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Miquel, R., Morgan, R., Myles, J., Palmese, A., Paz-Chinchón, F., Rykoff, E. S., Samuroff, S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Wechsler, R. H., Weller, J., Wester, W., Wilkinson, R. D., National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), UAM. Departamento de Física Teórica, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Effective Area, Point spread function, Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Techniques: image processing, FOS: Physical sciences, Astrophysics, Surveys, 01 natural sciences, surveys, weak [gravitational lensing], Gravitational lensing: weak, Methods: data analysis, 0103 physical sciences, data analysis [methods], survey, Spurious relationship, weak [ravitational lensing], 010303 astronomy & astrophysics, catalogues, Weak gravitational lensing, media_common, Physics, Energy Surveys, Number density, image processing [techniques], 010308 nuclear & particles physics, Cosmology: observations, Física, Astronomy and Astrophysics, Catalogues, Dark Energy, observations [cosmology], Galaxy, Weak Lensing, Space and Planetary Science, Sky, data analysi [methods], Dark energy, ravitational lensing: weak, Catalog, methods: data analysis, techniques: image processing, cosmology: observations, Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology Observations, catalogue, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], observation [cosmology]
Abstract: Gatti, M., et al. (DES Collaboration), We present and characterize the galaxy shape catalogue from the first 3 yr of Dark Energy Survey (DES) observations, over an effective area of 4143 deg2 of the southern sky. We describe our data analysis process and our self-calibrating shear measurement pipeline metacalibration, which builds and improves upon the pipeline used in the DES Year 1 analysis in several aspects. The DES Year 3 weak-lensing shape catalogue consists of 100 204 026 galaxies, measured in the riz bands, resulting in a weighted source number density of neff = 5.59 gal arcmin-2 and corresponding shape noise σe = 0.261. We perform a battery of internal null tests on the catalogue, including tests on systematics related to the point spread function (PSF) modelling, spurious catalogue B-mode signals, catalogue contamination, and galaxy properties., Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grants AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA programme of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).
Published: 2021

2. Impact of relativistic effects on the primordial non-Gaussianity signature in the large-scale clustering of quasars

Author: Florian Beutler, David Bacon, and Mike Wang
Subjects: ST/S000550/1, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Astrophysics::High Energy Astrophysical Phenomena, Population, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Luminosity, cosmological parameters, education, STFC, Astrophysics::Galaxy Astrophysics, Luminosity function (astronomy), Physics, education.field_of_study, RCUK, Spectral density, Astronomy and Astrophysics, Quasar, observations [cosmology], Redshift, Space and Planetary Science, Dark energy, large-scale structure of Universe, Relativistic quantum chemistry, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Relativistic effects in clustering observations have been shown to introduce scale-dependent corrections to the galaxy over-density field on large scales, which may hamper the detection of primordial non-Gaussianity $f_\textrm{NL}$ through the scale-dependent halo bias. The amplitude of relativistic corrections depends not only on the cosmological background expansion, but also on the redshift evolution and sensitivity to the luminosity threshold of the tracer population being examined, as parametrised by the evolution bias $b_\textrm{e}$ and magnification bias $s$. In this work, we propagate luminosity function measurements from the extended Baryon Oscillation Spectroscopic Survey (eBOSS) to $b_\textrm{e}$ and $s$ for the quasar (QSO) sample, and thereby derive constraints on relativistic corrections to its power spectrum multipoles. Although one could mitigate the impact on the $f_\textrm{NL}$ signature by adjusting the redshift range or the luminosity threshold of the tracer sample being considered, we suggest that, for future surveys probing large cosmic volumes, relativistic corrections should be forward modelled from the tracer luminosity function including its uncertainties. This will be important to quasar clustering measurements on scales $k \sim 10^{-3} h \, \textrm{Mpc}^{-1}$ in upcoming surveys such as the Dark Energy Spectroscopic Instrument (DESI), where relativistic corrections can overwhelm the expected $f_\textrm{NL}$ signature at low redshifts $z \lesssim 1$ and become comparable to $f_\textrm{NL} \simeq 1$ in the power spectrum quadrupole at redshifts $z \gtrsim 2.5$., Comment: Published by MNRAS, 7 figures and 1 table; changes made after peer review; public code HorizonGRound available at http://github.com/MikeSWang/HorizonGRound
Published: 2020

3. Dark Energy Survey Year 3 results: cosmology with moments of weak lensing mass maps – validation on simulations

Author: M. Smith, Daniel Gruen, D. W. Gerdes, F. Paz-Chinchón, D. J. James, J. Carretero, G. Tarle, Ian Harrison, J. Gschwend, Shantanu Desai, Marcos Lima, Kyler Kuehn, M. Carrasco Kind, Ramon Miquel, E. Suchyta, Juan Garcia-Bellido, August E. Evrard, Felipe Menanteau, Daniel Thomas, E. Buckley-Geer, Jennifer L. Marshall, L. Whiteway, Peter Doel, Juan Estrada, M. March, J. DeRose, L. F. Secco, Josh Frieman, V. Scarpine, Oliver Friedrich, Michael Schubnell, H. T. Diehl, Enrique Gaztanaga, Michael Troxel, T. M. C. Abbott, David Bacon, Martin Crocce, Pablo Fosalba, A. Carnero Rosell, Marcelle Soares-Santos, Niall MacCrann, S. Everett, Peter Melchior, David J. Brooks, R. Cawthon, Elisabeth Krause, E. J. Sanchez, Antonella Palmese, M. A. G. Maia, M. E. C. Swanson, A. A. Plazas, D. L. Burke, S. Santiago, J. Annis, I. Sevilla-Noarbe, T. McClintock, S. Allam, Robert A. Gruendl, J. De Vicente, L. N. da Costa, Santiago Avila, Carlos Solans Sanchez, Chihway Chang, Bhuvnesh Jain, M. D. Johnson, Joe Zuntz, Niall Jeffrey, I. Ferrero, Tim Eifler, G. Gutierrez, M. Gatti, Henry Luce Foundation, Department of Energy (US), National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Science and Technology Facilities Council (UK), University of Illinois, Kavli Institute for Theoretical Physics, University of Chicago, The Ohio State University, Texas A&M University, Financiadora de Estudos e Projetos (Brasil), Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico (Brasil), Ministério da Ciência, Tecnologia e Inovação (Brasil), German Research Foundation, European Commission, Generalitat de Catalunya, and Fermilab
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, Higher education, FOS: Physical sciences, Library science, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, Gravitational lensing: weak, Observatory, 0103 physical sciences, media_common.cataloged_instance, MECÂNICA ESTATÍSTICA, European union, Astronomy observatory, 010303 astronomy & astrophysics, media_common, Physics, 010308 nuclear & particles physics, business.industry, European research, Cosmology: observations, Astronomy and Astrophysics, 13. Climate action, Space and Planetary Science, Fundamental physics, Christian ministry, business, National laboratory, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a simulated cosmology analysis using the second and third moments of the weak lensing mass (convergence) maps. The second moment, or variances, of the convergence as a function of smoothing scale contains information similar to standard shear two-point statistics. The third moment, or the skewness, contains additional non-Gaussian information. The analysis is geared towards the third year (Y3) data from the Dark Energy Survey (DES), but the methodology can be applied to other weak lensing data sets. We present the formalism for obtaining the convergence maps from the measured shear and for obtaining the second and third moments of these maps given partial sky coverage. We estimate the covariance matrix from a large suite of numerical simulations. We test our pipeline through a simulated likelihood analyses varying 5 cosmological parameters and 10 nuisance parameters and identify the scales where systematic or modelling uncertainties are not expected to affect the cosmological analysis. Our simulated likelihood analysis shows that the combination of second and third moments provides a 1.5 per cent constraint on S8 σ8(ωm/0.3)0.5 for DES Year 3 data. This is 20 per cent better than an analysis using a simulated DES Y3 shear two-point statistics, owing to the non-Gaussian information captured by the inclusion of higher order statistics. This paper validates our methodology for constraining cosmology with DES Year 3 data, which will be presented in a subsequent paper., Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundac¸ao Carlos Chagas Filho de Amparo ˜ a Pesquisa do ` Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cient´ıfico e Tecnologico and the Minist ´ erio da Ci ´ encia, Tecnologia ˆ e Inovac¸ao, the Deutsche Forschungsgemeinschaft and the Collabo- ˜ rating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California, Santa Cruz, the University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y ´ Tecnologicas-Madrid, the University of Chicago, University College ´ London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenossische Technische Hochschule (ETH) Z ¨ urich, Fermi ¨ National Accelerator Laboratory, the University of Illinois at UrbanaChampaign, the Institut de Ciencies de l’Espai (IEEC/CSIC), the ` Institut de F´ısica d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universitat M¨ unchen, and the ¨ associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, the Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory, National Optical Astronomy Observatory, which is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015- 71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union 7th Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant ˆ 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2020

4. Multipole expansion for H i intensity mapping experiments: simulations and modelling

Author: Chris Blake, David Bacon, Alkistis Pourtsidou, Paula S. Soares, and Steven Cunnington
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, 01 natural sciences, symbols.namesake, MR/S016066/1, 0103 physical sciences, ST/S000437/1, Cluster analysis, 010303 astronomy & astrophysics, STFC, computer.programming_language, Physics, 010308 nuclear & particles physics, Intensity mapping, RCUK, Spectral density, Astronomy and Astrophysics, Markov chain Monte Carlo, Python (programming language), Computational physics, MRC, Space and Planetary Science, ST/P006760/1, Frequency domain, Quadrupole, symbols, ST/N000668/1, Multipole expansion, computer, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a framework and an open-source python toolkit to analyse the 2-point statistics of 3D fluctuations in the context of HI intensity maps using the multipole expansion formalism. We include simulations of the cosmological HI signal using N-body and log-normal methods, foregrounds and their removal, as well as instrumental effects. Using these simulations and analytical modelling, we investigate the impact of foreground cleaning and the instrumental beam on the power spectrum multipoles as well as on the Fourier space clustering wedges. We find that both the instrumental beam and the foreground removal can produce a quadrupole (and a hexadecapole) signal, and demonstrate the importance of controlling and accurately modelling these effects for precision radio cosmology. We conclude that these effects can be modelled with reasonable accuracy using our multipole expansion technique. We also perform an MCMC analysis to showcase the effect of foreground cleaning on the estimation of the HI abundance and bias parameters. The accompanying python toolkit is available at https://github.com/IntensityTools/MultipoleExpansion, and includes an interactive suite of examples to aid new users., 21 pages, 14 figures
Published: 2020

5. Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations

Author: Matthew R. Becker, J. Carretero, F. Paz-Chinchón, F. Tarsitano, Brian Yanny, Josh Frieman, David J. Brooks, M. March, Erin Sheldon, Martin Crocce, R. D. Wilkinson, Antonella Palmese, Carlos Solans Sanchez, M. Smith, M Rodriguez-Monroy, Peter Doel, R. L. C. Ogando, M. A. G. Maia, W. G. Hartley, Adriano Pieres, Daniel Gruen, J. Myles, D. L. Burke, V. Scarpine, B. Flaugher, H. T. Diehl, J. P. Dietrich, Juan Garcia-Bellido, D. W. Gerdes, David J. James, David Bacon, Alexandra Amon, G. Tarle, I. Harrison, Pablo Fosalba, Niall MacCrann, Agnès Ferté, J. Annis, E. Suchyta, I. Sevilla-Noarbe, S. Allam, Robert A. Gruendl, M. Soares-Santos, Peter Melchior, Maria E. S. Pereira, J. McCullough, K. D. Eckert, Daniel Thomas, K. Herner, T. N. Varga, Felipe Menanteau, M. Costanzi, E. Bertin, M. Gatti, M. Carrasco Kind, T. M. C. Abbott, Ramon Miquel, Michael Troxel, Paul Martini, Jennifer L. Marshall, J. Muir, Enrique Gaztanaga, J. Gschwend, A. Choi, D. L. Hollowood, A. Alarcon, Gary Bernstein, M. E. C. Swanson, Ofer Lahav, E. M. Huff, Chun-Hao To, K. Honscheid, A. Roodman, Tommaso Giannantonio, Samuel Hinton, E. J. Sanchez, Michel Aguena, S. Serrano, Robert Morgan, G. Gutierrez, Joe Zuntz, R. P. Rollins, A. Carnero Rosell, I. Ferrero, Matt J. Jarvis, Marcos Lima, Sarah Bridle, Scott Dodelson, Tim Eifler, S. Desai, Joseph J. Mohr, S. Everett, S. Samuroff, A. A. Plazas, L. F. Secco, J. de Vicente, Maccrann, N, Becker, M R, Mccullough, J, Amon, A, Gruen, D, Jarvis, M, Choi, A, Troxel, M A, Sheldon, E, Yanny, B, Herner, K, Dodelson, S, Zuntz, J, Eckert, K, Rollins, R P, Varga, T N, Bernstein, G M, Gruendl, R A, Harrison, I, Hartley, W G, Sevilla-Noarbe, I, Pieres, A, Bridle, S L, Myles, J, Alarcon, A, Everett, S, Sánchez, C, Huff, E M, Tarsitano, F, Gatti, M, Secco, L F, Abbott, T M C, Aguena, M, Allam, S, Annis, J, Bacon, D, Bertin, E, Brooks, D, Burke, D L, Carnero&nbsp, Rosell, A, Carrasco&nbsp, Kind, M, Carretero, J, Costanzi, M, Crocce, M, Pereira, M E S, De&nbsp, Vicente, J, Desai, S, Diehl, H&nbsp, T, Dietrich, J P, Doel, P, Eifler, T F, Ferrero, I, Ferté, A, Flaugher, B, Fosalba, P, Frieman, J, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Giannantonio, T, Gschwend, J, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Lahav, O, Lima, M, Maia, M A G, March, M, Marshall, J L, Martini, P, Melchior, P, Menanteau, F, Miquel, R, Mohr, J J, Morgan, R, Muir, J, Ogando, R L C, Palmese, A, Paz-Chinchón, F, Plazas, A A, Rodriguez-Monroy, M, Roodman, A, Samuroff, S, Sanchez, E, Scarpine, V, Serrano, S, Smith, M, Soares-Santos, M, Suchyta, E, Swanson, M E C, Tarle, G, Thomas, D, To, C, Wilkinson, R D, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), European Commission, Generalitat de Catalunya, Ministerio de Economía y Competitividad (España), European Research Council, Department of Energy (US), National Aeronautics and Space Administration (US), and Fondo Nacional de Desarrollo Científico y Tecnológico (Chile)
Subjects: Physics, Large-scale structure of Universe, 010308 nuclear & particles physics, Astronomy and Astrophysics, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Redshift, Image (mathematics), gravitational lensing: weak, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Shear (sheet metal), Space and Planetary Science, Gravitational lensing: weak, weak [gravitational lensing], 0103 physical sciences, Dark energy, 010303 astronomy & astrophysics
Abstract: DES Collaboration: N. MacCrann et al., As the statistical power of galaxy weak lensing reaches per cent level precision, large, realistic, and robust simulations are required to calibrate observational systematics, especially given the increased importance of object blending as survey depths increase. To capture the coupled effects of blending in both shear and photometric redshift calibration, we define the effective redshift distribution for lensing, nγ(z), and describe how to estimate it using image simulations. We use an extensive suite of tailored image simulations to characterize the performance of the shear estimation pipeline applied to the Dark Energy Survey (DES) Year 3 data set. We describe the multiband, multi-epoch simulations, and demonstrate their high level of realism through comparisons to the real DES data. We isolate the effects that generate shear calibration biases by running variations on our fiducial simulation, and find that blending-related effects are the dominant contribution to the mean multiplicative bias of approximately −2 per cent ⁠. By generating simulations with input shear signals that vary with redshift, we calibrate biases in our estimation of the effective redshift distribution, and demonstrate the importance of this approach when blending is present. We provide corrected effective redshift distributions that incorporate statistical and systematic uncertainties, ready for use in DES Year 3 weak lensing analyses., Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, NFS’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. NM acknowledges support from a European Research Council (ERC) Starting Grant under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 851274). MRB is supported by DOE grant DE-AC02-06CH11357. This work was supported by the Department of Energy, Laboratory Directed Research and Development program at SLAC National Accelerator Laboratory, under contract DE-AC02-76SF00515 and as part of the Panofsky Fellowship awarded to DG. MJ is partially supported by the U.S. Department of Energy grant DE-SC0007901 and funds from the University of Pennsylvania. AC acknowledges support from NASA grant 15-WFIRST15-0008. RR, IH, and SB acknowledge support from the European Research Council in the form of a Consolidator Grant with number 681431. IH also acknowledges support from the Beecroft Trust. We gratefully acknowledge the computing resources provided on Bebop, a high-performance computing cluster operated by the Laboratory Computing Resource Center at Argonne National Laboratory, and the RHIC Atlas Computing Facility, operated by Brookhaven National Laboratory. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DE-AC02-05CH11231.
Published: 2022

6. Assessing tension metrics with dark energy survey and Planck data

Author: Martin Crocce, Antonella Palmese, G. Tarle, I. Ferrero, Matt J. Jarvis, Samuel Hinton, J. Myles, David J. James, G. Gutierrez, Tim Eifler, M. A. G. Maia, M. Rodriguez-Monroy, A. Roodman, Tommaso Giannantonio, R. P. Rollins, Pablo Fosalba, D. L. Burke, J. De Vicente, J. DeRose, E. Suchyta, M Gatti, Josh Frieman, Elisabeth Krause, M. Costanzi, M. E. C. Swanson, W. G. Hartley, Joseph J. Mohr, Ben Hoyle, August E. Evrard, Juan Garcia-Bellido, Daniel Thomas, S. Samuroff, Jack Elvin-Poole, Enrique Gaztanaga, I. Harrison, M. March, Markus Rau, S. Pandey, J. Muir, S. Allam, Robert A. Gruendl, Peter Melchior, Ofer Lahav, A. A. Plazas Malagón, J. Carretero, Tamara M. Davis, E. Bertin, Michael Schubnell, B. Flaugher, V. Scarpine, Maria E. S. Pereira, Felipe Menanteau, E. M. Huff, P. Lemos, Michel Aguena, M. Carrasco Kind, W. C. Wester, Michael Troxel, A. Choi, Robert Morgan, Youngsoo Park, J. Gschwend, K. Honscheid, Gary Bernstein, I. Sevilla-Noarbe, R. L. C. Ogando, R. Cawthon, M. Soares-Santos, Ramon Miquel, A. Carnero Rosell, Christopher J. Conselice, D. L. Hollowood, N. Weaverdyck, Peter Doel, Marco Raveri, K. D. Eckert, T. N. Varga, H. T. Diehl, David Bacon, Niall MacCrann, S. Serrano, Paul Martini, A. Campos, Agnès Ferté, David J. Brooks, J. Prat, S. Everett, Marcos Lima, M. Smith, Daniel Gruen, Jennifer L. Marshall, Dragan Huterer, D. W. Gerdes, J. Annis, Joe Zuntz, F. Paz-Chinchón, Andrew R. Liddle, Jochen Weller, F. J. Castander, C. Doux, Chun-Hao To, E. J. Sanchez, Jonathan Blazek, L. F. Secco, Scott Dodelson, Santiago Avila, Chihway Chang, S. Desai, UAM. Departamento de Física Teórica, Lemos, P., Raveri, M., Campos, A., Park, Y., Chang, C., Weaverdyck, N., Huterer, D., Liddle, A. R., Blazek, J., Cawthon, R., Choi, A., Derose, J., Dodelson, S., Doux, C., Gatti, M., Gruen, D., Harrison, I., Krause, E., Lahav, O., Maccrann, N., Muir, J., Prat, J., Rau, M. M., Rollins, R. P., Samuroff, S., Zuntz, J., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bernstein, G. M., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., Pereira, M. E. S., Davis, T. M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Eckert, K., Eifler, T. F., Elvin-Poole, J., Everett, S., Evrard, A. E., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huff, E. M., James, D. J., Jarvis, M., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Martini, P., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Pandey, S., Paz-Chinchón, F., Plazas Malagón, A. A., Rodriguez-Monroy, M., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Varga, T. N., Weller, J., Wester, W., Des, Collaboration, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Fermilab, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Statistical [Methods], Physics beyond the Standard Model, Cosmic microwave background, FOS: Physical sciences, Lambda-CDM model, robustness, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology: Observations, Observations [Cosmology], Cosmological parameters, Cosmology: observations, Methods: statistical, Methods: Statistical, Bayes' theorem, symbols.namesake, statistical, cosmological parameters, cosmology: observations [methods], 0103 physical sciences, ST/T000473/1, Statistical physics, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Planck, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, STFC, Physics, inference, cosmological constant, 010308 nuclear & particles physics, Tension (physics), methods: statistical, cosmological parameters, cosmology: observations, Estimator, RCUK, Física, Astronomy and Astrophysics, ST/R000476/1, universe, Astronomía, Space and Planetary Science, symbols, Dark energy, Cosmological Parameters, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Lemos, P. et al., Quantifying tensions – inconsistencies amongst measurements of cosmological parameters by different experiments – has emerged as a crucial part of modern cosmological data analysis. Statistically significant tensions between two experiments or cosmological probes may indicate new physics extending beyond the standard cosmological model and need to be promptly identified. We apply several tension estimators proposed in the literature to the dark energy survey (DES) large-scale structure measurement and Planck cosmic microwave background data. We first evaluate the responsiveness of these metrics to an input tension artificially introduced between the two, using synthetic DES data. We then apply the metrics to the comparison of Planck and actual DES Year 1 data. We find that the parameter differences, Eigentension, and Suspiciousness metrics all yield similar results on both simulated and real data, while the Bayes ratio is inconsistent with the rest due to its dependence on the prior volume. Using these metrics, we calculate the tension between DES Year 1 3 × 2pt and Planck, finding the surveys to be in ∼2.3σ tension under the ΔCDM paradigm. This suite of metrics provides a toolset for robustly testing tensions in the DES Year 3 data and beyond., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by Ministerio de Ciencia e Innovación (MICINN) under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the Centres de Recerca de Catalunya (CERCA) program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

7. First cosmological results using Type Ia supernovae from the Dark Energy Survey: measurement of the Hubble constant

Author: F. J. Castander, Geraint F. Lewis, W. G. Hartley, Alex Drlica-Wagner, T. M. C. Abbott, C. B. D'Andrea, Tesla E. Jeltema, Dragan Huterer, E. J. Sanchez, D. A. Finley, M. Carrasco Kind, Tenglin Li, Santiago Avila, Carlos E. Cunha, Robert C. Nichol, N. E. Sommer, Vinu Vikram, J. Carretero, Santiago González-Gaitán, R. H. Schindler, K. Bechtol, Tamara M. Davis, E. Swann, D. L. Burke, A. Carnero Rosell, Samuel Hinton, Ben Hoyle, J. Annis, Edward Macaulay, David Brooks, M. E. C. Swanson, Peter Nugent, Martin Crocce, G. Gutierrez, Daniel Thomas, Mark Sullivan, Joshua A. Frieman, P. Wiseman, E. Suchyta, August E. Evrard, Antonella Palmese, Ryan J. Foley, N. Kuropatkin, Daniel Scolnic, A. G. Kim, V. Scarpine, S. Allam, Robert A. Gruendl, E. Kasai, R. C. Thomas, M. A. G. Maia, Mathew Smith, C. Lidman, Peter de Nully Brown, Alistair R. Walker, Lluís Galbany, D. Brout, Jacobo Asorey, S. Serrano, Marcelle Soares-Santos, Jennifer L. Marshall, Enrique Gaztanaga, L. N. da Costa, Rob Sharp, M. Sako, Brad E. Tucker, J. Calcino, David J. James, Daniela Carollo, Bruce A. Bassett, D. L. Hollowood, Anais Möller, A. A. Plazas, Pablo Fosalba, Bonnie Zhang, Richard Kessler, Bhuvnesh Jain, J. De Vicente, K. Honscheid, S. A. Uddin, Karl Glazebrook, Marcos Lima, Flavia Sobreira, M. S. Schubnell, Ofer Lahav, I. Sevilla-Noarbe, J. Lasker, Juan Garcia-Bellido, A. Roodman, Juan Estrada, B. Flaugher, H. T. Diehl, C. Davis, Kyler Kuehn, Daniel Gruen, David Bacon, Alexei V. Filippenko, J. Gschwend, Gregory Tarle, P. Martini, Tim Eifler, Elisabeth Krause, Ramon Miquel, P. Doel, Thomas E. Collett, Huan Lin, J. K. Hoormann, A. K. Romer, and Yen-Chen Pan
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cepheid variable, media_common.quotation_subject, Cosmic microwave background, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, symbols.namesake, 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, QC, STFC, media_common, Physics, 010308 nuclear & particles physics, Cosmic distance ladder, RCUK, SATÉLITES ARTIFICIAIS, Astronomy and Astrophysics, Universe, Redshift, Space and Planetary Science, astro-ph.CO, Dark energy, symbols, ST/N000668/1, Baryon acoustic oscillations, Astrophysics - Cosmology and Nongalactic Astrophysics, Hubble's law
Abstract: We present an improved measurement of the Hubble constant (H_0) using the 'inverse distance ladder' method, which adds the information from 207 Type Ia supernovae (SNe Ia) from the Dark Energy Survey (DES) at redshift 0.018 < z < 0.85 to existing distance measurements of 122 low redshift (z < 0.07) SNe Ia (Low-z) and measurements of Baryon Acoustic Oscillations (BAOs). Whereas traditional measurements of H_0 with SNe Ia use a distance ladder of parallax and Cepheid variable stars, the inverse distance ladder relies on absolute distance measurements from the BAOs to calibrate the intrinsic magnitude of the SNe Ia. We find H_0 = 67.8 +/- 1.3 km s-1 Mpc-1 (statistical and systematic uncertainties, 68% confidence). Our measurement makes minimal assumptions about the underlying cosmological model, and our analysis was blinded to reduce confirmation bias. We examine possible systematic uncertainties and all are below the statistical uncertainties. Our H_0 value is consistent with estimates derived from the Cosmic Microwave Background assuming a LCDM universe (Planck Collaboration et al. 2018)., 15 pages, 5 figures, updated to match accepted version
Published: 2019

8. Exploring the contamination of the DES-Y1 cluster sample with SPT-SZ selected clusters

Author: A. Saro, B. Ansarinejad, Lindsey Bleem, T. F. Eifler, Santiago Serrano, Jochen Weller, D. L. Burke, Joseph J. Mohr, Chun-Hao To, Ramon Miquel, E. J. Sanchez, E. Bertin, H. T. Diehl, S. R. Hinton, D. L. Hollowood, R. Ogando, M. Carrasco Kind, J. Myles, F. Paz-Chinchón, A. Carnero Rosel, M. Lima, P. Doel, A. A. Plazas, D. H. Brooks, Shantanu Desai, David James, A. Choi, M. E.C. Swanson, J. Annis, J. Gschwend, Peter Melchior, Matthias Klein, E. Suchyta, David Bacon, Robert A. Gruendl, I. Ferrero, Tesla E. Jeltema, G. Gutierrez, L. N. Da Costa, S. Bocquet, K. Honscheid, Antonella Palmese, M. A. G. Maia, Christian L. Reichardt, Jennifer L. Marshall, J. Frieman, S. Allam, M. Costanzi, V. Scarpine, A. K. Romer, D. Gruen, C. Lidman, Sebastian Grandis, Felipe Menanteau, M. Aguena, Gregory Tarle, P. Fosalba, O. Lahav, J. De Vincente, Parampreet Singh, S. Everett, Robert Morgan, E. Gaztanaga, K. Kuehn, D. Thomas, H. Wu, B. Floyd, J. P. Dietrich, Juan Garcia-Bellido, J. Carretero, N. Gupta, M. Smith, F. J. Castander, M. March, R. D. Wilkinson, I. Sevilla-Noarbe, National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Grandis, S., Mohr, J. J., Costanzi, M., Saro, A., Bocquet, S., Klein, M., Aguena, M., Allam, S., Annis, J., Ansarinejad, B., Bacon, D., Bertin, E., Bleem, L., Brooks, D., Burke, D. L., Carnero Rosel, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., da Costa, L. N., De Vincente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Ferrero, I., Floyd, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gruen, D., Gruendl, R. A., Gschwend, J., Gupta, N., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Reichardt, C. L., Romer, A. K., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Weller, J., Wilkinson, R. D., and Wu, H.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, statistical [methods], Population, FOS: Physical sciences, Astrophysics, Lambda, 01 natural sciences, large-scale structure of Universe, methods: statistical, galaxies: clusters: general, Astrophysics - Cosmology and Nongalactic Astrophysics, Galaxy group, 0103 physical sciences, clusters: general [galaxies], education, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Galaxy cluster, Methods: statistical, Physics, education.field_of_study, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Redshift, Projection (relational algebra), South Pole Telescope, 13. Climate action, Space and Planetary Science, Galaxies: clusters: general
Abstract: Grandis, S., et al. (DES Colaboration), We perform a cross validation of the cluster catalogue selected by the red-sequence Matched-filter Probabilistic Percolation algorithm (redMaPPer) in Dark Energy Survey year 1 (DES-Y1) data by matching it with the Sunyaev-Zel'dovich effect (SZE) selected cluster catalogue from the South Pole Telescope SPT-SZ survey. Of the 1005 redMaPPer selected clusters with measured richness $\hat{\lambda }\gt 40$ in the joint footprint, 207 are confirmed by SPT-SZ. Using the mass information from the SZE signal, we calibrate the richness-mass relation using a Bayesian cluster population model. We find a mass trend λ ∝ MB consistent with a linear relation (B ∼1), no significant redshift evolution and an intrinsic scatter in richness of σλ = 0.22 ± 0.06. By considering two error models, we explore the impact of projection effects on the richness-mass modelling, confirming that such effects are not detectable at the current level of systematic uncertainties. At low richness SPT-SZ confirms fewer redMaPPer clusters than expected. We interpret this richness dependent deficit in confirmed systems as due to the increased presence at low richness of low-mass objects not correctly accounted for by our richness-mass scatter model, which we call contaminants. At a richness $\hat{\lambda }=40$, this population makes up ${\gt}12{{\ \rm per\ cent}}$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat{\lambda }=20$ yields ${\gt}22{{\ \rm per\ cent}}$ (97.5 percentile). With these contamination fractions, the predicted redMaPPer number counts in different plausible cosmologies are compatible with the measured abundance. The presence of such a population is also a plausible explanation for the different mass trends (B ∼0.75) obtained from mass calibration using purely optically selected clusters. The mean mass from stacked weak lensing (WL) measurements suggests that these low-mass contaminants are galaxy groups with masses ∼3-5 × 1013 M⊙ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).
Published: 2021

9. Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev–Zel’dovich Galaxy Clusters

Author: Eli S. Rykoff, Jo Dunkley, E. Bertin, Ofer Lahav, Nick Battaglia, M. Soares-Santos, Hironao Miyatake, Shannon M. Duff, R. D. Wilkinson, Adriaan J. Duivenvoorden, L. N. da Costa, Joel N. Ullom, Robert Morgan, D. L. Burke, Devin Crichton, Kavilan Moodley, Peter Doel, Alexandra Amon, Edward J. Wollack, N. C. Robertson, H. T. Diehl, Joseph E. Golec, Sunayana Bhargava, Samuel Hinton, Emmanuel Schaan, Enrique Gaztanaga, Megan Gralla, David N. Spergel, Johannes Hubmayr, Simon Dicker, David Bacon, S. Allam, Robert A. Gruendl, Simone Ferraro, C. Aros-Bunster, Felipe Menanteau, G. Gutierrez, Kevin M. Huffenberger, Daniel Thomas, Ramon Miquel, Michael D. Niemack, I. Ferrero, Mathew S. Madhavacheril, J. P. Dietrich, Niall MacCrann, Juan Garcia-Bellido, Tesla E. Jeltema, David J. James, Yanxi Zhang, A. K. Romer, Ben Hoyle, Hy Trac, Mark J. Devlin, Patricio A. Gallardo, J. Gschwend, A. A. Plazas, Brian J. Koopman, Rolando Dünner, Zhilei Xu, Simone Aiola, Behzad Ansarinejad, A. Choi, Jeff McMahon, Eduardo Rozo, Gary Bernstein, K. Honscheid, Michel Aguena, Tanay Bhandarkar, Dan Becker, C. Sifon, Neelima Sehgal, Bhuvnesh Jain, Laura Newburgh, Dongwon Han, F. Paz-Chinchón, J. R. Bond, Kyler Kuehn, Peter Melchior, M. Carrasco Kind, Eve M. Vavagiakis, Steve K. Choi, Suzanne T. Staggs, Paul Giles, R. L. C. Ogando, J. C. Hill, Federico Nati, M. E. C. Swanson, E. V. Denison, Kevin T. Crowley, Tony Mroczkowski, W. G. Hartley, Antonella Palmese, Martine Lokken, S. Kent, Alessandro Schillaci, Masamune Oguri, John P. Hughes, M. A. G. Maia, Maria Salatino, S. Amodeo, T. Shin, S. Adhikari, M. Hasselfield, M. Costanzi, S. I. Loubser, J. Van Lanen, B. Partridge, Sigurd Naess, Adam D. Hincks, J. A. Beall, B. Flaugher, S. M. Simon, Jason E. Austermann, S. P. Ho, John Orlowski-Scherer, M. Smith, Daniel Gruen, J. Martin, D. W. Gerdes, J. Annis, Kenda Knowles, David J. Brooks, Erminia Calabrese, Emilie R. Storer, Gene C. Hilton, Leila R. Vale, Salcedo Romero de Ávila, Phumlani Phakathi, Josh Frieman, Yen-Ting Lin, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, J. Carretero, E. Suchyta, Matt Hilton, Christopher J. Conselice, Tobias A. Marriage, Sebastian Grandis, A. Carnero Rosell, Agnès Ferté, Anton T. Jaelani, Marcos Lima, S. Everett, S. Serrano, Lyman A. Page, J. De Vicente, Atsushi J. Nishizawa, G. Tarle, UAM. Departamento de Física Teórica, Hilton, M, Sifon, C, Naess, S, Madhavacheril, M, Oguri, M, Rozo, E, Rykoff, E, Adhikari, S, Aguena, M, Aiola, S, Allam, S, Amodeo, S, Amon, A, Annis, J, Ansarinejad, B, Abbott, T, Aros-Bunster, C, Austermann, J, Avila, S, Bacon, D, Battaglia, N, Beall, J, Becker, D, Bernstein, G, Bertin, E, Bhandarkar, T, Bhargava, S, Bond, J, Brooks, D, Burke, D, Calabrese, E, Carrasco Kind, M, Carretero, J, Choi, S, Choi, A, Conselice, C, Da Costa, L, Costanzi, M, Crichton, D, Crowley, K, Dunner, R, Denison, E, Devlin, M, Dicker, S, Diehl, H, Dietrich, J, Doel, P, Duff, S, Duivenvoorden, A, Dunkley, J, Everett, S, Ferraro, S, Ferte, A, Flaugher, B, Frieman, J, Ferrero, I, Gallardo, P, Garcia-Bellido, J, Gaztanaga, E, Giles, P, Golec, J, Gralla, M, Grandis, S, Gruen, D, Gerdes, D, Gruendl, R, Gschwend, J, Gutierrez, G, Han, D, Hartley, W, Hasselfield, M, Hill, J, Hilton, G, Hincks, A, Hinton, S, Ho, S, Honscheid, K, Hoyle, B, Hubmayr, J, Huffenberger, K, Hughes, J, Jaelani, A, Jain, B, James, D, Jeltema, T, Kent, S, Knowles, K, Koopman, B, Kuehn, K, Lahav, O, Lima, M, Lin, Y, Lokken, M, Loubser, S, Maccrann, N, Maia, M, Marriage, T, Martin, J, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Moodley, K, Morgan, R, Mroczkowski, T, Nati, F, Newburgh, L, Niemack, M, Nishizawa, A, Miyatake, H, Ogando, R, Orlowski-Scherer, J, Page, L, Palmese, A, Partridge, B, Paz-Chinchon, F, Phakathi, P, Plazas, A, Robertson, N, Romer, A, Carnero Rosell, A, Sanchez, E, Schaan, E, Schillaci, A, Sehgal, N, Serrano, S, Shin, T, Simon, S, Smith, M, Salatino, M, Soares-Santos, M, Spergel, D, Staggs, S, Storer, E, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, To, C, Trac, H, Ullom, J, Vale, L, Van Lanen, J, Vavagiakis, E, De Vicente, J, Wilkinson, R, Wollack, E, Xu, Z, Zhan, Y, Hilton, M., Sifón, C., Naess, S., Madhavacheril, M., Oguri, M., Rozo, E., Rykoff, E., Abbott, T. M. C., Adhikari, S., Aguena, M., Aiola, S., Allam, S., Amodeo, S., Amon, A., Annis, J., Ansarinejad, B., Aros-Bunster, C., Austermann, J. E., Avila, S., Bacon, D., Battaglia, N., Beall, J. A., Becker, D. T., Bernstein, G. M., Bertin, E., Bhandarkar, T., Bhargava, S., Bond, J. R., Brooks, D., Burke, D. L., Calabrese, E., Carretero, J., Choi, S. K., Choi, A., Conselice, C., da Costa, L. N., Costanzi, M., Crichton, D., Crowley, K. T., Dünner, R., Denison, E. V., Devlin, M. J., Dicker, S. R., Diehl, H. T., Dietrich, J. P., Doel, P., Duff, S. M., Duivenvoorden, A. J., Dunkley, J., Everett, S., Ferraro, S., Ferrero, I., Ferté, A., Flaugher, B., Frieman, J., Gallardo, P. A., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giles, P., Golec, J. E., Gralla, M. B., Grandis, S., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Han, D., Hartley, W. G., Hasselfield, M., Hill, J. C., Hilton, G. C., Hincks, A. D., Hinton, S. R., S-P. P., Ho, Honscheid, K., Hoyle, B., Hubmayr, J., Huffenberger, K. M., Hughes, J. P., Jaelani, A. T., Jain, B., James, D. J., Jeltema, T., Kent, S., Carrasco Kind, M., Knowles, K., Koopman, B. J., Kuehn, K., Lahav, O., Lima, M., Lin, Y-T., Lokken, M., Loubser, S. I., Maccrann, N., Maia, M. A. G., Marriage, T. A., Martin, J., Mcmahon, J., Melchior, P., Menanteau, F., Miquel, R., Miyatake, H., Moodley, K., Morgan, R., Mroczkowski, T., Nati, F., Newburgh, L. B., Niemack, M. D., Nishizawa, A. J., Ogando, R. L. C., Orlowski-Scherer, J., Page, L. A., Palmese, A., Partridge, B., Paz-Chinchón, F., Phakathi, P., Plazas, A. A., Robertson, N. C., Romer, A. K., Carnero Rosell, A., Salatino, M., Sanchez, E., Schaan, E., Schillaci, A., Sehgal, N., Serrano, S., Shin, T., Simon, S. M., Smith, M., Soares-Santos, M., Spergel, D. N., Staggs, S. T., Storer, E. R., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Trac, H., Ullom, J. N., Vale, L. R., Van Lanen, J., Vavagiakis, E. M., De Vicente, J., Wilkinson, R. D., Wollack, E. J., Xu, Z., and Zhang, Y.
Subjects: Galaxy clusters, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, Large-scale structure of the universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Intracluster medium, 0103 physical sciences, Cluster (physics), Sunyaev-Zeldovich Effect, 010303 astronomy & astrophysics, Cosmology, Galaxy clusters, Galaxy cluster, Astrophysics::Galaxy Astrophysics, AGLOMERADOS (GALÁXIA), Physics, 010308 nuclear & particles physics, Star formation, Física, Astronomy and Astrophysics, XMM-newton Telescope, Galaxies, Galaxy, Redshift, Space and Planetary Science, Atacama Cosmology Telescope
Abstract: Hilton, M., et al., We present a catalog of 4195 optically confirmed Sunyaev–Zel’dovich (SZ) selected galaxy clusters detected with signal-to-noise ratio >4 in 13,211 deg of sky surveyed by the Atacama Cosmology Telescope (ACT). Cluster candidates were selected by applying a multifrequency matched filter to 98 and 150 GHz maps constructed from ACT observations obtained from 2008 to 2018 and confirmed using deep, wide-area optical surveys. The clusters span the redshift range 0.04 < z < 1.91 (median z = 0.52). The catalog contains 222 z > 1 clusters, and a total of 868 systems are new discoveries. Assuming an SZ signal versus mass-scaling relation calibrated from X-ray observations, the sample has a 90% completeness mass limit of M > 3.8 × 10 M, evaluated at z = 0.5, for clusters detected at signal-to-noise ratio >5 in maps filtered at an angular scale of 2 4. The survey has a large overlap with deep optical weak-lensing surveys that are being used to calibrate the SZ signal mass-scaling relation, such as the Dark Energy Survey (4566 deg), the Hyper Suprime-Cam Subaru Strategic Program (469 deg), and the Kilo Degree Survey (825 deg). We highlight some noteworthy objects in the sample, including potentially projected systems, clusters with strong lensing features, clusters with active central galaxies or star formation, and systems of multiple clusters that may be physically associated. The cluster catalog will be a useful resource for future cosmological analyses and studying the evolution of the intracluster medium and galaxies in massive clusters over the past 10 Gyr., The DES Data Management System is supported by the NSF under Grant Nos. AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Unionʼs Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

10. Dark Energy Survey Year 3 results: Optimizing the lens sample in a combined galaxy clustering and galaxy-galaxy lensing analysis

Author: F. J. Castander, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, Sarah Bridle, Santiago Avila, Alex Drlica-Wagner, G. Tarle, Xiao Fang, Maria E. S. Pereira, A. Roodman, Tommaso Giannantonio, Samuel Hinton, Alexandra Amon, Josh Frieman, Martin Crocce, R. D. Wilkinson, G. Gutierrez, F. Paz-Chinchón, Sunayana Bhargava, V. Scarpine, Ramon Miquel, Jennifer L. Marshall, Shantanu Desai, Felipe Menanteau, N. Weaverdyck, A. Carnero Rosell, B. Flaugher, David J. Brooks, M. Carrasco Kind, M. E. C. Swanson, J. Carretero, M. Smith, Daniel Gruen, David J. James, Robert Morgan, W. G. Hartley, Pablo Fosalba, E. Gaztanaga, D. W. Gerdes, A. Choi, K. Honscheid, Juan Garcia-Bellido, E. Bertin, Elisabeth Krause, I. Ferrero, Matt J. Jarvis, Agnès Ferté, Peter Doel, D. L. Hollowood, S. Serrano, H. T. Diehl, S. Allam, Robert A. Gruendl, E. Suchyta, David Bacon, R. Cawthon, Niall MacCrann, J. Gschwend, A. Porredon, M. Costanzi, Michel Aguena, S. Pandey, I. Sevilla-Noarbe, J. De Vicente, Kyler Kuehn, N. Kuropatkin, K. D. Eckert, T. N. Varga, L. N. da Costa, M. Soares-Santos, S. Samuroff, Ben Hoyle, Antonella Palmese, M. A. G. Maia, M. Rodriguez-Monroy, Jack Elvin-Poole, A. A. Plazas, Jochen Weller, T. F. Eifler, Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), UAM. Departamento de Física Teórica, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Porredon, A., Crocce, M., Fosalba, P., Elvin-Poole, J., Carnero Rosell, A., Cawthon, R., Eifler, T. F., Fang, X., Ferrero, I., Krause, E., Maccrann, N., Weaverdyck, N., Abbott, T. M. C., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Bridle, S. L., Brooks, D., Carrasco Kind, M., Carretero, J., Castander, F. J., Choi, A., Costanzi, M., Da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Drlica-Wagner, A., Eckert, K., Ferte, A., Flaugher, B., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Jarvis, M., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Pandey, S., Paz-Chinchon, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Varga, T. N., Weller, J., and Wilkinson, R. D.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Physics and Astronomy (miscellaneous), Dark matter, Cosmological parameters, FOS: Physical sciences, Scale (descriptive set theory), Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, large scale structure, 01 natural sciences, 7. Clean energy, Cosmology, dark matter, Gravitational lenses, 0103 physical sciences, cosmology, Weak, Large-scale structure of the Universe, cosmological parameters, 010306 general physics, dark energy, Sky suverys, STFC, Photometric redshift, AGLOMERADOS (GALÁXIA), Physics, Gravitational Lensing, 010308 nuclear & particles physics, Equation of state (cosmology), Gravitation, Cosmology and Astrophysics, RCUK, Física, Dark enery, Dark Energy, Redshift, Galaxy, observations, 13. Climate action, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Porredon, A., et al. DES Collaboration, We investigate potential gains in cosmological constraints from the combination of galaxy clustering and galaxy-galaxy lensing by optimizing the lens galaxy sample selection using information from Dark Energy Survey (DES) Year 3 data and assuming the DES Year 1 metacalibration sample for the sources. We explore easily reproducible selections based on magnitude cuts in i-band as a function of (photometric) redshift, zphot, and benchmark the potential gains against those using the well-established redMaGiC [E. Rozo et al., Mon. Not. R. Astron. Soc. 461, 1431 (2016)MNRAA40035-871110.1093/mnras/stw1281] sample. We focus on the balance between density and photometric redshift accuracy, while marginalizing over a realistic set of cosmological and systematic parameters. Our optimal selection, the MagLim sample, satisfies i, Funding for the DES Projects was provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft, and the collaborating institutions in the Dark Energy Survey. The collaborating institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, NFS’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy under a cooperative agreement with the National Science Foundation. The DES data management system was supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions were partially supported by MICINN under Grants No. ESP2017-89838, No. PGC2018-094773, No. PGC2018-102021, No. SEV-2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. was partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grants No. 240672, No. 291329, and No. 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia do e-Universo (CNPq Grant No. 465376/2014-2). This work was authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

11. OzDES Reverberation Mapping Program: Lag recovery reliability for 6-year CIV analysis

Author: G. Tarle, Maria E. S. Pereira, E. Suchyta, R. D. Wilkinson, Daniela Carollo, I. Ferrero, A. Carnero Rosell, Samuel Hinton, J. Gschwend, Tim Eifler, Kyler Kuehn, M. E. C. Swanson, G. Gutierrez, Juan Garcia-Bellido, J. Carretero, Tamara M. Davis, Rob Sharp, Sunayana Bhargava, David J. Brooks, Antonella Palmese, M. A. G. Maia, M. Smith, D. L. Hollowood, Daniel Gruen, J. K. Hoormann, C. Lidman, B. E. Tucker, S. Serrano, Jennifer L. Marshall, A. K. Romer, Daniel Scolnic, Paul Martini, Josh Frieman, Enrique Gaztanaga, Anais Möller, E. Bertin, S. A. Uddin, D. W. Gerdes, J. Calcino, David J. James, A. A. Plazas, H. T. Diehl, David Bacon, A. Penton, A. G. Kim, Pablo Fosalba, M. Carrasco Kind, Ramon Miquel, M. Costanzi, K. Honscheid, J. Annis, J. De Vicente, W. C. Wester, S. Everett, S. Allam, Robert A. Gruendl, F. Paz-Chinchón, Felipe Menanteau, V. Scarpine, U. Malik, Chun-Hao To, Michel Aguena, E. J. Sanchez, Jacobo Asorey, N. Kuropatkin, Zhefu Yu, T. N. Varga, L. N. da Costa, Robert Morgan, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), DES, Penton, A, Malik, U, Davis, T M, Martini, P, Yu, Z, Sharp, R, Lidman, C, Tucker, B E, Hoormann, J K, Aguena, M, Allam, S, Annis, J, Asorey, J, Bacon, D, Bertin, E, Bhargava, S, Brooks, D, Calcino, J, Carnero&nbsp, Rosell, A, Carollo, D, Carrasco&nbsp, Kind, M, Carretero, J, Costanzi, M, da&nbsp, Costa, L N, Pereira, M E S, De&nbsp, Vicente, J, Diehl, H T, Eifler, T F, Everett, S, Ferrero, I, Fosalba, P, Frieman, J, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Gruen, D, Gruendl, R A, Gschwend, J, Gutierrez, G, Hinton, S R, Hollowood, D L, Honscheid, K, James, D J, Kim, A G, Kuehn, K, Kuropatkin, N, Maia, M A G, Marshall, J L, Menanteau, F, Miquel, R, Morgan, R, Möller, A, Palmese, A, Paz-Chinchón, F, Plazas, A A, Romer, A K, Sanchez, E, Scarpine, V, Scolnic, D, Serrano, S, Smith, M, Suchyta, E, Swanson, M E C, Tarle, G, To, C, Uddin, S A, Varga, T N, Wester, W, Wilkinson, R D, Lewis, G, National Science Foundation (US), Ministerio de Ciencia e Innovación (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), and UAM. Departamento de Física Teórica
Subjects: galaxies: active, quasars: emission lines, quasars: general, Astrophysics - Astrophysics of Galaxies, Lag, FOS: Physical sciences, 01 natural sciences, emission lines [Quasars], statistical analysis, (Galaxies:) Quasars: Emission Lines, 0103 physical sciences, quasar, silver, AGN, 010303 astronomy & astrophysics, Reliability (statistics), Physics, [PHYS]Physics [physics], general [quasars], 010308 nuclear & particles physics, ) Quasars: Emission Lines [(Galaxies], Física, Astronomy and Astrophysics, gold, (Galaxies:) Quasars: Supermassive Black Holes, Nuclei, Reliability engineering, emission line [quasars], Space and Planetary Science, quality, Astrophysics of Galaxies (astro-ph.GA), active [galaxies], slope, Reverberation mapping, dispersion, galaxy, statistical, ) Quasars: Supermassive Black Holes [(Galaxies]
Abstract: Penton, A. et al (DES Collaboration), We present the statistical methods that have been developed to analyse the OzDES reverberation mapping sample. To perform this statistical analysis we have created a suite of customizable simulations that mimic the characteristics of each source in the OzDES sample. These characteristics include: the variability in the photometric and spectroscopic light curves, the measurement uncertainties, and the observational cadence. By simulating the sources in the OzDES sample that contain the C iv emission line, we developed a set of criteria that rank the reliability of a recovered time-lag depending on the agreement between different recovery methods, the magnitude of the uncertainties, and the rate at which false positives were found in the simulations. These criteria were applied to simulated light curves and these results used to estimate the quality of the resulting Radius-Luminosity relation. We grade the results using three quality levels (gold, silver, and bronze). The input slope of the R-L relation was recovered within 1σ for each of the three quality samples, with the gold standard having the lowest dispersion with a recovered a R-L relation slope of 0.454 ± 0.016 with an input slope of 0.47. Future work will apply these methods to the entire OzDES sample of 771 AGN., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

12. Cosmological Constraints from DES Y1 Cluster Abundances and SPT Multi-wavelength data

Author: E. Suchyta, F. Ruppin, Samuel Hinton, Sunayana Bhargava, M. Carrasco Kind, Felipe Menanteau, Maria E. S. Pereira, V. Scarpine, S. Samuroff, G. Gutierrez, Ramon Miquel, Enrique Gaztanaga, Jennifer L. Marshall, T. N. Varga, K. Kuehn, Elisabeth Krause, P. Fosalba, A. Choi, Josh Frieman, David J. Brooks, K. Honscheid, G. Tarle, Marcelle Soares-Santos, J. Myles, Daniel Gruen, David J. James, J. P. Dietrich, Sebastian Grandis, A. Roodman, Tommaso Giannantonio, Juan Garcia-Bellido, I. Ferrero, Daniel B. Thomas, D. W. Gerdes, Nikhel Gupta, M. E. C. Swanson, J. Annis, M. Costanzi, N. MacCrann, D. Rapetti, I. Sevilla-Noarbe, Sebastian Bocquet, A. Carnero Rosell, N. Kuropatkin, F. Paz-Chinchón, Shantanu Desai, Risa H. Wechsler, S. Everett, Antonella Palmese, E. Buckley-Geer, Agnès Ferté, L. N. da Costa, M. A. G. Maia, B. Flaugher, Joseph J. Mohr, M. N. K. Smith, Z. Zhang, A. Saro, Marcos Lima, Christian L. Reichardt, O. Lahav, A. A. Plazas, Parampreet Singh, R. L. C. Ogando, J. De Vicente, T. M. C. Abbott, Robert Morgan, Santiago Avila, D. L. Hollowood, S. Serrano, T. F. Eifler, Chun-Hao To, L. Salvati, E. J. Sanchez, H. T. Diehl, David Bacon, P. Doel, A. Amara, Douglas L. Tucker, Paul Giles, Tesla E. Jeltema, Bradford Benson, Michel Aguena, D. L. Burke, S. Allam, Robert A. Gruendl, A. A. Stark, W. G. Hartley, J. Carretero, A. K. Romer, UAM. Departamento de Física Teórica, Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), National Science Foundation (US), Costanzi, M., Saro, A., Bocquet, S., Abbott, T. M. C., Aguena, M., Allam, S., Amara, A., Annis, J., Avila, S., Bacon, D., Benson, B. A., Bhargava, S., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Giles, P., Grandis, S., Gruen, D., Gruendl, R. A., Gupta, N., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jeltema, T., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maccrann, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Rapetti, D., Reichardt, C. L., Romer, A. K., Roodman, A., Ruppin, F., Salvati, L., Samuroff, S., Sanchez, E., Scarpine, V., Serrano, S., Sevilla-Noarbe, I., Singh, P., Smith, M., Soares-Santos, M., Stark, A. A., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Tucker, D. L., Varga, T. N., Wechsler, R. H., and Zhang, Z.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Physics and Astronomy (miscellaneous), media_common.quotation_subject, Cosmological parameters, FOS: Physical sciences, Galaxy clusters, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, XMM-Newton Telescope, Cosmology, 0103 physical sciences, Cluster (physics), Large-scale structure of the Universe, 010306 general physics, Weak gravitational lensing, STFC, media_common, AGLOMERADOS (GALÁXIA), Physics, 010308 nuclear & particles physics, Gravitation, Cosmology and Astrophysics, RCUK, Física, Galaxies, Cosmos, Redshift, Universe, Data set, South Pole Telescope, 13. Climate action, Dark energy, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Costanzi, M., et al. DES and SPT Collaborations, We perform a joint analysis of the counts of redMaPPer clusters selected from the Dark Energy Survey (DES) year 1 data and multiwavelength follow-up data collected within the 2500 deg2 South Pole Telescope (SPT) Sunyaev-Zel'dovich (SZ) survey. The SPT follow-up data, calibrating the richness-mass relation of the optically selected redMaPPer catalog, enable the cosmological exploitation of the DES cluster abundance data. To explore possible systematics related to the modeling of projection effects, we consider two calibrations of the observational scatter on richness estimates: a simple Gaussian model which account only for the background contamination (BKG), and a model which further includes contamination and incompleteness due to projection effects (PRJ). Assuming either a ΛCDM+mν or wCDM+mν cosmology, and for both scatter models, we derive cosmological constraints consistent with multiple cosmological probes of the low and high redshift Universe, and in particular with the SPT cluster abundance data. This result demonstrates that the DES Y1 and SPT cluster counts provide consistent cosmological constraints, if the same mass calibration data set is adopted. It thus supports the conclusion of the DES Y1 cluster cosmology analysis which interprets the tension observed with other cosmological probes in terms of systematics affecting the stacked weak lensing analysis of optically selected low-richness clusters. Finally, we analyze the first combined optically SZ selected cluster catalog obtained by including the SPT sample above the maximum redshift probed by the DES Y1 redMaPPer sample (z=0.65). Besides providing a mild improvement of the cosmological constraints, this data combination serves as a stricter test of our scatter models: the PRJ model, providing scaling relations consistent between the two abundance and multiwavelength follow-up data, is favored over the BKG model., Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Technische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, National Science Fundation’s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the Australian (aka “Oz”) Dark Energy Survey Membership Consortium.Based in part on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under Grants No. ESP2017-89838, No. PGC2018-094773, No. PGC2018-102021, No. SEV-2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grants Agreements No. 240672, No. 291329, and No. 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq Grant No. 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. This paper has gone through internal review by the DES Collaboration. M. C. and A. S. are supported by the ERC-StG ’ClustersXCosmo’ Grant Agreement No. 716762. A. S. is supported by the FARE-MIUR Grant
Published: 2021

13. The mass and galaxy distribution around SZ-selected clusters

Author: Edward J. Wollack, S. Goldstein, Erin S. Sheldon, Jochen Weller, L. N. da Costa, J. Elvin-Poole, Suzanne T. Staggs, Simone Ferraro, Marco Raveri, Mark J. Devlin, J. P. Dietrich, Sahar S. Allam, T. N. Varga, David Brooks, S. Pandey, M. Lokken, Brian Yanny, Maria E. S. Pereira, A. Amsellem, J. DeRose, Maria Salatino, J. McCullough, M. E. C. Swanson, M. Costanzi, C. Doux, Chun-Hao To, Cristóbal Sifón, E. J. Sanchez, Joseph J. Mohr, I. Tutusaus, I. Sevilla-Noarbe, Gary Bernstein, B. Partridge, John P. Hughes, Carlos Solans Sanchez, G. Tarle, Scott Dodelson, Chihway Chang, V. Scarpine, Keith Bechtol, Ian Harrison, Enrique Gaztanaga, B. Flaugher, Peter Doel, Nick Battaglia, Alex Drlica-Wagner, J. Myles, David J. James, N. P. Kuropatkin, H. T. Diehl, David Bacon, Kavilan Moodley, Niall MacCrann, T. M. C. Abbott, David H. Weinberg, Kyler Kuehn, M. Gatti, J. Prat, Adriano Pieres, Samuel Hinton, Bhuvnesh Jain, K. Eckert, J. De Vicente, T. Dacunha, Marcelle Soares-Santos, E. Suchyta, E. J. Baxter, D. Gruen, A. Carnero Rosell, J. Carretero, Matt Hilton, M. Belyakov, Michael Troxel, J. C. Hill, F. Paz-Chinchón, A. Alarcon, Richard P. Rollins, Antonio Campos, Ramon Miquel, S. Desai, Federico Nati, Michael D. Niemack, Sebastian Bocquet, M. Smith, M. Aguena, A. K. Romer, Daniel Thomas, E. Buckley-Geer, L. A. Page, Emmanuel Bertin, Antonella Palmese, Andrés N. Salcedo, Jeff McMahon, Agnès Ferté, Blake D. Sherwin, M. A. G. Maia, D. W. Gerdes, Ofer Lahav, I. Ferrero, Mathew S. Madhavacheril, Robert Morgan, M. Rodriguez-Monroy, Yanxi Zhang, A. A. Plazas Malagón, Andrey V. Kravtsov, S. Everett, Marco A. P. Lima, S. Adhikari, Patricio A. Gallardo, Matthew R. Becker, Basilio X. Santiago, D. L. Burke, J. Frieman, J. R. Bond, Robert A. Gruendl, M. Carrasco Kind, F. Andrade-Oliveira, Tesla E. Jeltema, Ricardo L. C. Ogando, M. Jarvis, R. Chen, Ami Choi, Elisabeth Krause, Peter Melchior, Eli S. Rykoff, Eve M. Vavagiakis, G. Gutierrez, A. Navarro-Alsina, Santiago Serrano, B. Yin, Alexandra Amon, Felipe Menanteau, James Annis, Brian J. Koopman, L. F. Secco, W. G. Hartley, Alessandro Schillaci, Devon L. Hollowood, T. Shin, University of Pennsylvania, University of Chicago, University of Hawaii, The Ohio State University, Cornell University, Max Planck Institute for Extraterrestrial Physics, Ludwig-Maximilians-Universität, NSF’s National Optical-Infrared Astronomy Research Laboratory, Universidade de São Paulo (USP), Laboratório Interinstitucional de e-Astronomia – LIneA, Argonne National Laboratory, Fermi National Accelerator Laboratory, Stanford University, Universidade Estadual Paulista (UNESP), University of Portsmouth, University of Wisconsin-Madison, Institut d’Astrophysique de Paris, University of Toronto, University College London, Carnegie Mellon University, Duke University, Instituto de Astrofisica de Canarias, Dpto. Astrofísica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, The Barcelona Institute of Science and Technology, Lawrence Berkeley National Laboratory, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, IIT Hyderabad, Medioambientales y Tecnológicas (CIEMAT), Santa Cruz Institute for Particle Physics, University of Oslo, California Institute of Technology, Institut d’Estudis Espacials de Catalunya (IEEC), CSIC), University of Michigan, SLAC National Accelerator Laboratory, Denys Wilkinson Building, University of Manchester, University of Geneva, Columbia University, Flatiron Institute, Westville Campus, University of Queensland, The State University of New Jersey, Center for Astrophysics | Harvard & Smithsonian, Yale University, University of Arizona, Macquarie University, Lowell Observatory, Dunlap Institute of Astronomy & Astrophysics, University of Cambridge, Perimeter Institute for Theoretical Physics, Peyton Hall, Institució Catalana de Recerca i Estudis Avançats, University of Milano-Bicocca, Universidade Estadual de Campinas (UNICAMP), Princeton University, Haverford College, University of Sussex, UFRGS, Brookhaven National Laboratory, Pontificia Universidad Católica de Valparaíso, University of Southampton, Oak Ridge National Laboratory, NASA/Goddard Space Flight Center, Shin, T, Jain, B, Adhikari, S, Baxter, E, Chang, C, Pandey, S, Salcedo, A, Weinberg, D, Amsellem, A, Battaglia, N, Belyakov, M, Dacunha, T, Goldstein, S, Kravtsov, A, Varga, T, Abbott, T, Aguena, M, Alarcon, A, Allam, S, Amon, A, Andrade-Oliveira, F, Annis, J, Bacon, D, Bechtol, K, Becker, M, Bernstein, G, Bertin, E, Bocquet, S, Bond, J, Brooks, D, Buckley-Geer, E, Burke, D, Campos, A, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Chen, R, Choi, A, Costanzi, M, da Costa, L, Derose, J, Desai, S, de Vicente, J, Devlin, M, Diehl, H, Dietrich, J, Dodelson, S, Doel, P, Doux, C, Drlica-Wagner, A, Eckert, K, Elvin-Poole, J, Everett, S, Ferraro, S, Ferrero, I, Ferte, A, Flaugher, B, Frieman, J, Gallardo, P, Gatti, M, Gaztanaga, E, Gerdes, D, Gruen, D, Gruendl, R, Gutierrez, G, Harrison, I, Hartley, W, Hill, J, Hilton, M, Hinton, S, Hollowood, D, Hughes, J, James, D, Jarvis, M, Jeltema, T, Koopman, B, Krause, E, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Lokken, M, Maccrann, N, Madhavacheril, M, Maia, M, Mccullough, J, Mcmahon, J, Melchior, P, Menanteau, F, Miquel, R, Mohr, J, Moodley, K, Morgan, R, Myles, J, Nati, F, Navarro-Alsina, A, Niemack, M, Ogando, R, Page, L, Palmese, A, Partridge, B, Paz-Chinchon, F, Pereira, M, Pieres, A, Plazas Malagon, A, Prat, J, Raveri, M, Rodriguez-Monroy, M, Rollins, R, Romer, A, Rykoff, E, Salatino, M, Sanchez, C, Sanchez, E, Santiago, B, Scarpine, V, Schillaci, A, Secco, L, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Sherwin, B, Sifon, C, Smith, M, Soares-Santos, M, Staggs, S, Suchyta, E, Swanson, M, Tarle, G, Thomas, D, To, C, Troxel, M, Tutusaus, I, Vavagiakis, E, Weller, J, Wollack, E, Yanny, B, Yin, B, Zhang, Y, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), Univ Penn, Univ Chicago, Univ Hawaii, Ohio State Univ, Cornell Univ, Max Planck Inst Extraterr Phys, Ludwig Maximilians Univ Munchen, NSFs Natl Opt Infrared Astron Res Lab, Lab Interinst E Astron LIneA, Argonne Natl Lab, Fermilab Natl Accelerator Lab, Stanford Univ, Univ Portsmouth, Univ Wisconsin, Inst Astrophys Paris, Sorbonne Univ, Univ Toronto, UCL, Carnegie Mellon Univ, Duke Univ, Inst Astrofis Canarias, Univ La Laguna, Natl Ctr Supercomp Applicat, Univ Illinois, Barcelona Inst Sci & Technol, Lawrence Berkeley Natl Lab, Univ Trieste, INAF Osservatorio Astron Trieste, Inst Fundamental Phys Universe, Observ Nacl, Ctr Invest Energet Medioambientales & Tecnol CIEM, Santa Cruz Inst Particle Phys, Univ Oslo, CALTECH, Inst Estudis Espacials Catalunya IEEC, CSIC, Univ Michigan, SLAC Natl Accelerator Lab, Univ Oxford, Univ Manchester, Univ Geneva, Columbia Univ, Flatiron Inst, Univ KwaZulu Natal, Univ Queensland, Rutgers State Univ, Ctr Astrophys Harvard & Smithsonian, Yale Univ, Univ Arizona, Macquarie Univ, Lowell Observ, Dunlap Inst Astron & Astrophys, Univ Cambridge, Perimeter Inst Theoret Phys, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, Univ Milano Bicocca, Haverford Coll, Univ Sussex, Univ Fed Rio Grande do Sul, Brookhaven Natl Lab, Pontificia Univ Catolica Valparaiso, Univ Southampton, Oak Ridge Natl Lab, NASA, Shin, T., Jain, B., Adhikari, S., Baxter, E. J., Chang, C., Pandey, S., Salcedo, A., Weinberg, D. H., Amsellem, A., Battaglia, N., Belyakov, M., Dacunha, T., Goldstein, S., Kravtsov, A. V., Varga, T. N., Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Amon, A., Andrade-Oliveira, F., Annis, J., Bacon, D., Bechtol, K., Becker, M. R., Bernstein, G. M., Bertin, E., Bocquet, S., Bond, J. R., Brooks, D., Buckley-Geer, E., Burke, D. L., Campos, A., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Chen, R., Choi, A., Costanzi, M., da Costa, L. N., Derose, J., Desai, S., de Vicente, J., Devlin, M. J., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Doux, C., Drlica-Wagner, A., Eckert, K., Elvin-Poole, J., Everett, S., Ferraro, S., Ferrero, I., Ferte, A., Flaugher, B., Frieman, J., Gallardo, P. A., Gatti, M., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gutierrez, G., Harrison, I., Hartley, W. G., Hill, J. C., Hilton, M., Hinton, S. R., Hollowood, D. L., Hughes, J. P., James, D. J., Jarvis, M., Jeltema, T., Koopman, B. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Lokken, M., Maccrann, N., Madhavacheril, M. S., Maia, M. A. G., Mccullough, J., Mcmahon, J., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Moodley, K., Morgan, R., Myles, J., Nati, F., Navarro-Alsina, A., Niemack, M. D., Ogando, R. L. C., Page, L. A., Palmese, A., Partridge, B., Paz-Chinchon, F., Pereira, M. E. S., Pieres, A., Plazas Malagon, A. A., Prat, J., Raveri, M., Rodriguez-Monroy, M., Rollins, R. P., Romer, A. K., Rykoff, E. S., Salatino, M., Sanchez, C., Sanchez, E., Santiago, B., Scarpine, V., Schillaci, A., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Sherwin, B. D., Sifon, C., Smith, M., Soares-Santos, M., Staggs, S. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tutusaus, I., Vavagiakis, E. M., Weller, J., Wollack, E. J., Yanny, B., Yin, B., and Zhang, Y.
Subjects: Cold dark matter, Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, clusters: general [Galaxies], Cosmology: observation, Cosmology, Galaxies clusters general, observations [Cosmology], Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, Cosmology observation, Physics, Cosmology: observations, Galaxies: evolution, Astronomy and Astrophysics, evolution [Galaxies], Cosmology observations, Galaxies evolution, Galaxy, Redshift, Galaxies: clusters: general, Space and Planetary Science, Atacama Cosmology Telescope, Dark energy, Halo, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Shin, T., et al., We present measurements of the radial profiles of the mass and galaxy number density around Sunyaev–Zel’dovich (SZ)-selected clusters using both weak lensing and galaxy counts. The clusters are selected from the Atacama Cosmology Telescope Data Release 5 and the galaxies from the Dark Energy Survey Year 3 data set. With signal-to-noise ratio of 62 (45) for galaxy (weak lensing) profiles over scales of about 0.2–20 h Mpc, these are the highest precision measurements for SZ-selected clusters to date. Because SZ selection closely approximates mass selection, these measurements enable several tests of theoretical models of the mass and light distribution around clusters. Our main findings are: (1) The splashback feature is detected at a consistent location in both the mass and galaxy profiles and its location is consistent with predictions of cold dark matter N-body simulations. (2) The full mass profile is also consistent with the simulations. (3) The shapes of the galaxy and lensing profiles are remarkably similar for our sample over the entire range of scales, from well inside the cluster halo to the quasilinear regime. We measure the dependence of the profile shapes on the galaxy sample, redshift, and cluster mass. We extend the Diemer & Kravtsov model for the cluster profiles to the linear regime using perturbation theory and show that it provides a good match to the measured profiles. We also compare the measured profiles to predictions of the standard halo model and simulations that include hydrodynamics. Applications of these results to cluster mass estimation, cosmology, and astrophysics are discussed., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant no. 465376/2014-2).
Published: 2021

14. Consistency of cosmic shear analyses in harmonic and real space

Author: David Bacon, Niall MacCrann, J. Carretero, Tamara M. Davis, Xiao Fang, Ramon Miquel, Joe Zuntz, F. Paz-Chinchón, Agnès Ferté, Dragan Huterer, Ami Choi, W. G. Hartley, A. A. Plazas, Martin Crocce, R. D. Wilkinson, J. P. Dietrich, Juan Garcia-Bellido, Antonella Palmese, S. Samuroff, I. Ferrero, M. A. G. Maia, E. Bertin, David J. James, Pablo Fosalba, Michael Schubnell, J. Gschwend, Jennifer L. Marshall, Jonathan Blazek, A. Roodman, Bhuvnesh Jain, Elisabeth Krause, Maria E. S. Pereira, Santiago Avila, Chihway Chang, G. Tarle, H. Camacho, L. F. Secco, Robert Morgan, A. Carnero Rosell, M. Costanzi, Jochen Weller, C. Doux, Chun-Hao To, E. J. Sanchez, D. L. Burke, Enrique Gaztanaga, S. Allam, Robert A. Gruendl, M. Carrasco Kind, Alexandra Amon, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, T. N. Varga, Felipe Menanteau, L. N. da Costa, M. Smith, Daniel Gruen, D. W. Gerdes, Kyler Kuehn, Michel Aguena, E. Suchyta, Michael Troxel, D. L. Hollowood, S. Serrano, David J. Brooks, Samuel Hinton, G. Gutierrez, M. Gatti, Peter Doel, UAM. Departamento de Física Teórica, Doux, C., Chang, C., Jain, B., Blazek, J., Camacho, H., Fang, X., Gatti, M., Krause, E., Maccrann, N., Samuroff, S., Secco, L. F., Troxel, M. A., Zuntz, J., Aguena, M., Allam, S., Amon, A., Avila, S., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., Davis, T. M., Dietrich, J. P., Doel, P., Ferrero, I., Ferté, A., Fosalba, P., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., To, C., Varga, T. N., Weller, J., Wilkinson, R. D., Des, Collaboration, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Univ Penn, Univ Chicago, Ohio State Univ, Ecole Polytech Fed Lausanne EPFL, Universidade Estadual Paulista (Unesp), Lab Interinst E Astron LIneA, Univ Arizona, Barcelona Inst Sci & Technol, Univ Cambridge, Carnegie Mellon Univ, Duke Univ, Univ Edinburgh, Universidade de São Paulo (USP), Fermilab Natl Accelerator Lab, Stanford Univ, Univ Autonoma Madrid, Univ Portsmouth, CNRS, Sorbonne Univ, UCL, SLAC Natl Accelerator Lab, Inst Astrofis Canarias, Univ La Laguna, Natl Ctr Supercomp Applicat, Univ Illinois, Univ Trieste, INAF Osservatorio Astron Trieste, Inst Fundamental Phys Universe, Inst Estudis Espacials Catalunya IEEC, CSIC, Observ Nacl, Univ Michigan, Univ Queensland, Ludwig Maximilians Univ Munchen, Univ Oslo, CALTECH, Univ Geneva, Santa Cruz Inst Particle Phys, Ctr Astrophys Harvard & Smithsonian, Macquarie Univ, Lowell Observ, Texas A&M Univ, Inst Catalana Recerca & Estudis Avancats, Univ Wisconsin, Princeton Univ, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Southampton, Oak Ridge Natl Lab, Max Planck Inst Extraterr Phys, and Univ Sussex
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gaussian, design, FOS: Physical sciences, gravitational lensing: weak, cosmological parameters, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Statistical fluctuations, 01 natural sciences, symbols.namesake, weak [gravitational lensing], 0103 physical sciences, Statistical physics, Weak, 010303 astronomy & astrophysics, Physics, large-scale structure of universe, Gravitational Lensing, COSMIC cancer database, model, 010308 nuclear & particles physics, Sigma, Spectral density, Física, Astronomy and Astrophysics, Dark Energy, Redshift, Space and Planetary Science, symbols, Dark energy, cosmological parameter, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], constraints, Importance sampling, intrinsic alignments
Abstract: Recent cosmic shear studies have reported discrepancies of up to $1\sigma$ on the parameter ${S_{8}=\sigma_{8}\sqrt{\Omega_{\rm m}/0.3}}$ between the analysis of shear power spectra and two-point correlation functions, derived from the same shear catalogs. It is not a priori clear whether the measured discrepancies are consistent with statistical fluctuations. In this paper, we investigate this issue in the context of the forthcoming analyses from the third year data of the Dark Energy Survey (DES-Y3). We analyze DES-Y3 mock catalogs from Gaussian simulations with a fast and accurate importance sampling pipeline. We show that the methodology for determining matching scale cuts in harmonic and real space is the key factor that contributes to the scatter between constraints derived from the two statistics. We compare the published scales cuts of the KiDS, Subaru-HSC and DES surveys, and find that the correlation coefficients of posterior means range from over 80% for our proposed cuts, down to 10% for cuts used in the literature. We then study the interaction between scale cuts and systematic uncertainties arising from multiple sources: non-linear power spectrum, baryonic feedback, intrinsic alignments, uncertainties in the point-spread function, and redshift distributions. We find that, given DES-Y3 characteristics and proposed cuts, these uncertainties affect the two statistics similarly; the differential biases are below a third of the statistical uncertainty, with the largest biases arising from intrinsic alignment and baryonic feedback. While this work is aimed at DES-Y3, the tools developed can be applied to Stage-IV surveys where statistical errors will be much smaller., Comment: Matches version accepted in MNRAS. 22 pages, 15 figures. Comments welcome!
Published: 2021

15. A machine learning approach to galaxy properties: Joint redshift-stellar mass probability distributions with Random Forest

Author: A. A. Plazas, L. N. Da Costa, W. G. Hartley, Maria E. S. Pereira, Brian Yanny, Marcos Lima, Alex Drlica-Wagner, J. Carretero, Antonella Palmese, E. M. Huff, Juan Garcia-Bellido, Ramon Miquel, M. A. G. Maia, Michel Aguena, V. Scarpine, A. Choi, Martin Crocce, F. J. Castander, G. Tarle, R. D. Wilkinson, Ian Harrison, S. Mucesh, K. Honscheid, Sunayana Bhargava, A. Alarcon, J. De Vicente, David J. James, Huan Lin, Pablo Fosalba, M. Carrasco Kind, Chun-Hao To, Alexandra Amon, E. J. Sanchez, F. Paz-Chinchón, Keith Bechtol, E. Suchyta, August E. Evrard, M. Costanzi, M. Smith, Felipe Menanteau, Josh Frieman, D. L. Hollowood, S. Allam, Robert A. Gruendl, S. Serrano, Ofer Lahav, Daniel Gruen, Samuel Hinton, Peter Melchior, Christopher J. Conselice, Erin Sheldon, B. Flaugher, E. Bertin, G. Gutierrez, David J. Brooks, S. Desai, Enrique Gaztanaga, Robert Morgan, J. Gschwend, S. Everett, D. W. Gerdes, Gary Bernstein, I. Ferrero, H. T. Diehl, David Bacon, I. Sevilla-Noarbe, N. Kuropatkin, K. D. Eckert, T. N. Varga, Asa F. L. Bluck, Kyler Kuehn, Michael Schubnell, Daniel Thomas, L. Whiteway, A. Carnero Rosell, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Mucesh, S., Hartley, W. G., Palmese, A., Lahav, O., Whiteway, L., Amon, A., Bechtol, K., Bernstein, G. M., Carnero Rosell, A., Carrasco Kind, M., Choi, A., Eckert, K., Everett, S., Gruen, D., Gruendl, R. A., Harrison, I., Huff, E. M., Kuropatkin, N., Sevilla-Noarbe, I., Sheldon, E., Yanny, B., Aguena, M., Allam, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Drlica-Wagner, A., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lima, M., Lin, H., Maia, M. A. G., Melchior, P., Menanteau, F., Miquel, R., Morgan, R., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., and Wilkinson, R. D.
Subjects: FOS: Computer and information sciences, Computer Science - Machine Learning, statistical [Methods], software: data analysis, computer.software_genre, 01 natural sciences, data analysi [software], Copula (probability theory), Machine Learning (cs.LG), Astrophysics - Cosmology and Nongalactic Astrophysic, data analysis [Methods], 010303 astronomy & astrophysics, Physics, fundamental parameter [galaxies], galaxies: fundamental parameters, Random forest, Software: public realese, fundamental parameters [Galaxies], Probability distribution, galaxies: evolution, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, public realese [Software], Cosmology and Nongalactic Astrophysics (astro-ph.CO), methods: data analysis, methods: statistical, software: public release, Astrophysics - Astrophysics of Galaxies, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Machine learning, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, Galaxy formation and evolution, [INFO]Computer Science [cs], [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Probability integral transform, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010308 nuclear & particles physics, business.industry, Univariate, Astronomy and Astrophysics, evolution [Galaxies], public release [software], Redshift, Galaxy, Space and Planetary Science, data analysis [Software], Astrophysics of Galaxies (astro-ph.GA), data analysi [methods], Artificial intelligence, Astrophysics - Instrumentation and Methods for Astrophysic, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], business, computer
Abstract: We demonstrate that highly accurate joint redshift-stellar mass probability distribution functions (PDFs) can be obtained using the Random Forest (RF) machine learning (ML) algorithm, even with few photometric bands available. As an example, we use the Dark Energy Survey (DES), combined with the COSMOS2015 catalogue for redshifts and stellar masses. We build two ML models: one containing deep photometry in the $griz$ bands, and the second reflecting the photometric scatter present in the main DES survey, with carefully constructed representative training data in each case. We validate our joint PDFs for $10,699$ test galaxies by utilizing the copula probability integral transform and the Kendall distribution function, and their univariate counterparts to validate the marginals. Benchmarked against a basic set-up of the template-fitting code BAGPIPES, our ML-based method outperforms template fitting on all of our predefined performance metrics. In addition to accuracy, the RF is extremely fast, able to compute joint PDFs for a million galaxies in just under $6$ min with consumer computer hardware. Such speed enables PDFs to be derived in real time within analysis codes, solving potential storage issues. As part of this work we have developed GALPRO, a highly intuitive and efficient Python package to rapidly generate multivariate PDFs on-the-fly. GALPRO is documented and available for researchers to use in their cosmology and galaxy evolution studies., Comment: 18 pages, 8 figures, Accepted by MNRAS
Published: 2021

16. Dark energy survey internal consistency tests of the joint cosmological probes analysis with posterior predictive distributions

Author: R. L. C. Ogando, J. DeRose, E. Suchyta, M. Smith, G. Tarle, Daniel Gruen, Youngsoo Park, D. W. Gerdes, S. Samuroff, T. N. Varga, R. Cawthon, David J. Brooks, J. Gschwend, Sunayana Bhargava, Michael Schubnell, K. Honscheid, Samuel Hinton, W. G. Hartley, Marcos Lima, J. P. Dietrich, G. Gutierrez, Ofer Lahav, Juan Garcia-Bellido, C. Lidman, Alexandra Amon, J. Carretero, Ramon Miquel, Peter Doel, M. Costanzi, Dragan Huterer, M. Carrasco Kind, Robert Morgan, J. Frieman, H. T. Diehl, David Bacon, Felipe Menanteau, E. Baxter, F. Paz-Chinchón, I. Ferrero, Matt J. Jarvis, J. Annis, Marco Raveri, Elisabeth Krause, M. Gatti, David J. James, Niall MacCrann, J. Muir, Tommaso Giannantonio, D. L. Burke, Pablo Fosalba, Ami Choi, Ben Hoyle, E. Bertin, A. A. Plazas, I. Sevilla-Noarbe, Bhuvnesh Jain, S. Allam, Robert A. Gruendl, V. Scarpine, Antonella Palmese, N. Kuropatkin, D. L. Hollowood, M. A. G. Maia, S. Serrano, A. Alarcon, A. Campos, E. M. Huff, L. N. da Costa, P. Lemos, Michel Aguena, R. D. Wilkinson, S. Everett, Maria E. S. Pereira, J. Prat, M. E. C. Swanson, Jochen Weller, T. M. C. Abbott, C. Doux, Chun-Hao To, Markus Rau, E. J. Sanchez, Santiago Avila, Chihway Chang, Michael Troxel, S. Desai, Joe Zuntz, Douglas L. Tucker, Kyler Kuehn, National Science Foundation (US), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Fermilab, Doux, C., Baxter, E., Lemos, P., Chang, C., Alarcon, A., Amon, A., Campos, A., Choi, A., Gatti, M., Gruen, D., Jarvis, M., Maccrann, N., Park, Y., Prat, J., Rau, M. M., Raveri, M., Samuroff, S., Derose, J., Hartley, W. G., Hoyle, B., Troxel, M. A., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., Huterer, D., Jain, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Lahav, O., Lidman, C., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, FOS: Physical sciences, Dark energy, Gravitational lensing: weak, Methods: statistical, gravitational lensing: weak, methods: statistical, dark energy, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics, 01 natural sciences, Data vector, Goodness of fit, Consistency (statistics), Internal consistency, 0103 physical sciences, Statistics, Astrophysics - Cosmology and Nongalactic Astrophysic, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 010303 astronomy & astrophysics, Joint (geology), Instrumentation and Methods for Astrophysics (astro-ph.IM), Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, Data set, Posterior predictive distribution, Space and Planetary Science, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing]
Abstract: Doux, C., et al. DES Collaboration, Beyond ΛCDM, physics or systematic errors may cause subsets of a cosmological data set to appear inconsistent when analysed assuming ΛCDM. We present an application of internal consistency tests to measurements from the Dark Energy Survey Year 1 (DES Y1) joint probes analysis. Our analysis relies on computing the posterior predictive distribution (PPD) for these data under the assumption of ΛCDM. We find that the DES Y1 data have an acceptable goodness of fit to ΛCDM, with a probability of finding a worse fit by random chance of p = 0.046. Using numerical PPD tests, supplemented by graphical checks, we show that most of the data vector appears completely consistent with expectations, although we observe a small tension between large- and small-scale measurements. A small part (roughly 1.5 per cent) of the data vector shows an unusually large departure from expectations; excluding this part of the data has negligible impact on cosmological constraints, but does significantly improve the p-value to 0.10. The methodology developed here will be applied to test the consistency of DES Year 3 joint probes data sets., Based, in part, on observations at Cerro Tololo Inter-American Observatory at NSF’s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under contract no. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

17. Rates and delay times of Type Ia supernovae in the Dark Energy Survey

Author: Geraint F. Lewis, A. R. Walker, A. A. Plazas Malagón, J. Annis, Brodie Popovic, M. E. C. Swanson, Enrique Gaztanaga, Josh Frieman, G. Tarle, Anais Möller, E. Bertin, Samuel Hinton, C. Lidman, B. E. Tucker, G. Gutierrez, Jennifer L. Marshall, B. Flaugher, R. L. C. Ogando, V. Scarpine, Daniel Scolnic, M. Carrasco Kind, F. Andrade-Oliveira, Robert C. Nichol, D. J. Brout, Daniel Thomas, J. Gschwend, Kyler Kuehn, Daniela Carollo, K. Honscheid, J. Carretero, David J. James, Tamara M. Davis, Ramon Miquel, Maria E. S. Pereira, M. Costanzi, Pablo Fosalba, Juan Garcia-Bellido, Peter Doel, E. Buckley-Geer, I. Ferrero, I. Sevilla-Noarbe, Karl Glazebrook, H. T. Diehl, Felipe Menanteau, David Bacon, Benjamin Rose, M. Soares-Santos, Chris Frohmaier, M. Vincenzi, N. Kuropatkin, Robert Morgan, Mark Sullivan, A. K. Romer, Elisabeth Krause, T. N. Varga, Tommaso Giannantonio, L. N. da Costa, M. Toy, Paul Martini, A. Carnero Rosell, O. Graur, D. L. Burke, P. Wiseman, S. Allam, Robert A. Gruendl, Michael Schubnell, S. Everett, David J. Brooks, D. L. Hollowood, Adriano Pieres, S. Serrano, Richard Kessler, Michel Aguena, M. Smith, Daniel Gruen, E. Suchyta, Zoe Zontou, F. Paz-Chinchón, Lluís Galbany, L. Kelsey, P. Armstrong, Don Petravick, S. Desai, Jacobo Asorey, Antonella Palmese, M. A. G. Maia, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, Ben Hoyle, Institut de Physique des 2 Infinis de Lyon (IP2I Lyon), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique de Clermont (LPC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne (UCA), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Wiseman, P., Sullivan, M., Smith, M., Frohmaier, C., Vincenzi, M., Graur, O., Popovic, B., Armstrong, P., Brout, D., Davis, T. M., Galbany, L., Hinton, S. R., Kelsey, L., Kessler, R., Lidman, C., Möller, A., Nichol, R. C., Rose, B., Scolnic, D., Toy, M., Zontou, Z., Asorey, J., Carollo, D., Glazebrook, K., Lewis, G. F., Tucker, B. E., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Bacon, D., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Giannantonio, T., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Krause, E., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Martini, P., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Petravick, D., Pieres, A., Plazas Malagón, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., and Des, Collaboration
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010504 meteorology & atmospheric sciences, Stellar mass, FOS: Physical sciences, Context (language use), Astrophysics, Type (model theory), 01 natural sciences, 7. Clean energy, Luminosity, supernovae: general, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysic, white dwarf, 010303 astronomy & astrophysics, STFC, evolution [galaxies], 0105 earth and related environmental sciences, white dwarfs, Physics, High Energy Astrophysical Phenomena (astro-ph.HE), RCUK, White dwarf, Astronomy and Astrophysics, galaxies: evolution, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Redshift, Galaxy, ST/R000506/1, Supernova, 13. Climate action, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), 8. Economic growth, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], general [supernovae]
Abstract: Wiseman, P., et al. DES Collaboration, We use a sample of 809 photometrically classified Type Ia supernovae (SNe Ia) discovered by the Dark Energy Survey (DES) along with 40 415 field galaxies to calculate the rate of SNe Ia per galaxy in the redshift range 0.2 < z < 0.6. We recover the known correlation between SN Ia rate and galaxy stellar mass across a broad range of scales 8.5 ≤ log (M*/M⊙) ≤ 11.25. We find that the SN Ia rate increases with stellar mass as a power law with index 0.63 ± 0.02, which is consistent with the previous work. We use an empirical model of stellar mass assembly to estimate the average star formation histories (SFHs) of galaxies across the stellar mass range of our measurement. Combining the modelled SFHs with the SN Ia rates to estimate constraints on the SN Ia delay time distribution (DTD), we find that the data are fit well by a power-law DTD with slope index β = −1.13 ± 0.05 and normalization A = 2.11 ± 0.05 × 10−13 SNe M⊙−1 yr−1, which corresponds to an overall SN Ia production efficiency NIa/M∗=0.9 +4.0−0.7×10−3 SNe M−1⊙⁠. Upon splitting the SN sample by properties of the light curves, we find a strong dependence on DTD slope with the SN decline rate, with slower-declining SNe exhibiting a steeper DTD slope. We interpret this as a result of a relationship between intrinsic luminosity and progenitor age, and explore the implications of the result in the context of SN Ia progenitors., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007–2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

18. The WaZP galaxy cluster sample of the dark energy survey year 1

Author: G. Tarle, David J. Brooks, Antonella Palmese, David J. James, Josh Frieman, M. A. G. Maia, Pablo Fosalba, F. Paz-Chinchón, Michael Schubnell, M. Smith, Agnès Ferté, Samuel Hinton, Christophe Benoist, E. Suchyta, Basilio X. Santiago, August E. Evrard, G. Gutierrez, I. Ferrero, Sunayana Bhargava, J. Carretero, R. D. Wilkinson, B. Flaugher, H. Sampaio-Santos, Peter Melchior, Santiago Avila, K. Honscheid, R. L. C. Ogando, J. De Vicente, S. Everett, M. Carrasco Kind, S. Desai, Ramon Miquel, I. Sevilla-Noarbe, Juan Garcia-Bellido, Ofer Lahav, M. Soares-Santos, N. Kuropatkin, L. N. da Costa, Robert Morgan, A. Carnero Rosell, M. Costanzi, Marcos Lima, D. L. Hollowood, S. Serrano, Chun-Hao To, E. J. Sanchez, Douglas L. Tucker, Kyler Kuehn, Paul Giles, E. Bertin, J. Gschwend, Peter Doel, H. T. Diehl, David Bacon, S. Allam, Robert A. Gruendl, Tesla E. Jeltema, A. A. Plazas, Michel Aguena, A. K. Romer, Joseph Louis LAGRANGE (LAGRANGE), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Aguena, M., Benoist, C., da Costa, L. N., Ogando, R. L., Gschwend, J., Sampaio dos Santos, H., Lima, M., Maia, M. A., Allam, S., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Everett, S., Evrard, A., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Giles, P., Gruendl, R., Gutierrez, G., Hinton, S., Hollowood, D. L., Honscheid, K., James, D., Jeltema, T., Kuehn, K., Kuropatkin, N., Lahav, O., Melchior, P., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchon, F., Plazas Malagón, A., Romer, K., Sanchez, E., Santiago, B., Schubnell, M., Serrano, S., Sevilla, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., To, C., Tucker, D., Wilkinson, R., National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, and Instituto Nacional de Ciência e Tecnologia (Brasil)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Surveys, Lambda, 01 natural sciences, surveys, 0103 physical sciences, distances and redshifts [Galaxies], Cluster (physics), clusters: general [galaxies], survey, distances and redshift [galaxies], data analysis [Methods], 010303 astronomy & astrophysics, Galaxy cluster, Photometric redshift, Physics, 010308 nuclear & particles physics, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy and Astrophysics, methods: data analysis, Galaxy, Redshift, South Pole Telescope, Space and Planetary Science, galaxies: clusters: general, data analysi [methods], Cluster sampling, galaxies: distances and redshifts, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Aguena, M., et al., We present a new (2+1)D galaxy cluster finder based on photometric redshifts called Wavelet Z Photometric (WaZP) applied to DES first year (Y1A1) data. The results are compared to clusters detected by the South Pole Telescope (SPT) survey and the redMaPPer cluster finder, the latter based on the same photometric data. WaZP searches for clusters in wavelet-based density maps of galaxies selected in photometric redshift space without any assumption on the cluster galaxy populations. The comparison to other cluster samples was performed with a matching algorithm based on angular proximity and redshift difference of the clusters. It led to the development of a new approach to match two optical cluster samples, following an iterative approach to minimize incorrect associations. The WaZP cluster finder applied to DES Y1A1 galaxy survey (1511.13 deg2 up to mi = 23 mag) led to the detection of 60 547 galaxy clusters with redshifts 0.05 < z < 0.9 and richness Ngals ≥ 5. Considering the overlapping regions and redshift ranges between the DES Y1A1 and SPT cluster surveys, all sz based SPT clusters are recovered by the WaZP sample. The comparison between WaZP and redMaPPer cluster samples showed an excellent overall agreement for clusters with richness Ngals (λ for redMaPPer) greater than 25 (20), with 95 per cent recovery on both directions. Based on the cluster cross-match, we explore the relative fragmentation of the two cluster samples and investigate the possible signatures of unmatched clusters., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2).
Published: 2021

19. Dark Energy Survey Year 3 results: Curved-sky weak lensing mass map reconstruction

Author: Sunayana Bhargava, Jennifer L. Marshall, David J. Brooks, Carlos Solans Sanchez, G. Tarle, Samuel Hinton, G. Gutierrez, Alexandra Amon, Peter Doel, Ami Choi, Ben Hoyle, Marco Raveri, B. Flaugher, F. Andrade-Oliveira, Jochen Weller, R. P. Rollins, H. T. Diehl, D. L. Burke, Felipe Menanteau, Alex Drlica-Wagner, J. DeRose, F. J. Castander, David Bacon, E. Suchyta, Dragan Huterer, Christopher J. Conselice, Brian Yanny, Jack Elvin-Poole, U. Demirbozan, Maria E. S. Pereira, Niall MacCrann, Keith Bechtol, Erin Sheldon, Martin Crocce, V. Scarpine, T. M. C. Abbott, Peter Melchior, D. L. Hollowood, S. Serrano, Agnès Ferté, J. De Vicente, J. Cordero, P. F. Leget, A. Campos, Eli S. Rykoff, C. Doux, Chun-Hao To, E. J. Sanchez, K. Herner, F. Paz-Chinchón, J. Carretero, Antonella Palmese, Marcos Lima, J. Myles, I. Harrison, G. Pollina, A. Roodman, David J. James, Tommaso Giannantonio, D. Zeurcher, M. A. G. Maia, M. Rodriguez-Monroy, Joe Zuntz, A. Alarcon, B. Yin, S. Allam, Robert A. Gruendl, A. Kovács, Matthew R. Becker, Pablo Fosalba, B. Mawdsley, Ashley J. Ross, S. Pandey, J. Muir, Joseph J. Mohr, Michael Troxel, I. Ferrero, Matt J. Jarvis, A. Carnero Rosell, J. McCullough, P. Vielzeuf, Yanxi Zhang, Seshadri Nadathur, M. Carrasco Kind, M. March, S. Everett, M. Smith, M. Costanzi, Jean-Luc Starck, Daniel Gruen, I. Tutusaus, Francois Lanusse, Chihway Chang, Daniel Thomas, J. Prat, L. Whiteway, F. Elsner, S. Desai, I. Sevilla-Noarbe, M. Soares-Santos, G. Giannini, W. G. Hartley, D. W. Gerdes, R. Cawthon, N. Kuropatkin, Ramon Miquel, K. D. Eckert, T. N. Varga, L. N. da Costa, J. P. Dietrich, Juan Garcia-Bellido, E. Bertin, E. M. Huff, R. Chen, Michel Aguena, Enrique Gaztanaga, R. L. C. Ogando, Bhuvnesh Jain, M Gatti, Ofer Lahav, Niall Jeffrey, Robert Morgan, L. F. Secco, Nico Hamaus, A. A. Plazas, A. Navarro-Alsina, T. Shin, T. Kacprzak, C. Davis, J. Gschwend, Gary Bernstein, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), University of Portsmouth, Laboratoire de physique de l'ENS - ENS Paris (LPENS), Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Cité (UPCité)-Département de Physique de l'ENS-PSL, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Laboratoire de physique de l'ENS - ENS Paris (LPENS (UMR_8023)), École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Jeffrey, N., Gatti, M., Chang, C., Whiteway, L., Demirbozan, U., Kovacs, A., Pollina, G., Bacon, D., Hamaus, N., Kacprzak, T., Lahav, O., Lanusse, F., Mawdsley, B., Nadathur, S., Starck, J. L., Vielzeuf, P., Zeurcher, D., Alarcon, A., Amon, A., Bechtol, K., Bernstein, G. M., Campos, A., Rosell, A. C., Kind, M. C., Cawthon, R., Chen, R., Choi, A., Cordero, J., Davis, C., Derose, J., Doux, C., Drlica-Wagner, A., Eckert, K., Elsner, F., Elvin-Poole, J., Everett, S., Ferte, A., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Herner, K., Huff, E. M., Huterer, D., Kuropatkin, N., Jarvis, M., Leget, P. F., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Navarro-Alsina, A., Pandey, S., Prat, J., Raveri, M., Rollins, R. P., Ross, A. J., Rykoff, E. S., Sanchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Shin, T., Troxel, M. A., Tutusaus, I., Varga, T. N., Yanny, B., Yin, B., Zhang, Y., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Andrade-Oliveira, F., Becker, M. R., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Castander, F. J., Conselice, C., Costanzi, M., Crocce, M., Da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Ferrero, I., Flaugher, B., Fosalba, P., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Hoyle, B., Jain, B., James, D. J., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Mohr, J. J., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Rodriguez-Monroy, M., Roodman, A., Sanchez, E., Scarpine, V., Serrano, S., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Weller, J., Université de Paris, University College London, Barcelona Institute of Science and Technology, University of Pennsylvania, University of Chicago, Calle Viá Láctea, Universidad de La Laguna (ULL), Ludwig-Maximilians Universität München, ETH Zurich, Argonne National Laboratory, Stanford University, University of Wisconsin-Madison, CarnegieMellon University, Instituto de Astrofisica de Canarias, Laboratorio Interinstitucional de e-Astronomia-LIneA, Dpto. Astrofisica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Duke University, Ohio State University, University of Manchester, University of California,Berkeley, Santa Cruz Institute for Particle Physics, Fermi National Accelerator Laboratory, California Institute of Technology, SLAC National Accelerator Laboratory, Denys Wilkinson Building, University of Geneva, University of Michigan, University of Cambridge, Universidade Estadual de Campinas (UNICAMP), Medioambientales y Tecnologicas (CIEMAT), Brookhaven National Laboratory, Institut d'Estudis Espacials de Catalunya (IEEC), CSIC), Max Planck Institute for Extraterrestrial Physics, University of Edinburgh, NSF's National Optical-Infrared Astronomy Research Laboratory, Universidade de Saõ Paul, Universidade Estadual Paulista (UNESP), Institut d'Astrophysique deParis, Institut d'Astrophysique de Paris, University of Sussex, School of Physics and Astronomy, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, IIT Hyderabad, Ludwig-Maximilians-Universitat, University of Oslo, Universidad Autonoma de Madrid, University of Queensland, Center for Astrophysics | Harvard and Smithsonian, Texas A and M University, Princeton University, Institucio Catalana de Recerca i Estudis Avancats, University of Southampton, Oak Ridge National Laboratory, and Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP)-Sorbonne Université (SU)-École normale supérieure - Paris (ENS Paris)
Subjects: statistical [Methods], Cosmology and Nongalactic Astrophysics (astro-ph.CO), media_common.quotation_subject, Dark matter, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, Gravitational lensing: weak, 0103 physical sciences, Prior probability, Maximum a posteriori estimation, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Methods: statistical, media_common, Physics, ST/M001334/1, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Celestial sphere, gravitational lensing: Weak, large-scale structure of Universe, methods: Statistical, ST/R000476/1, Galaxy, Space and Planetary Science, Sky, astro-ph.CO, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], weak [Gravitational lensing], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Jeffrey, N., et al. DES Collaboration, We present reconstructed convergence maps, mass maps, from the Dark Energy Survey (DES) third year (Y3) weak gravitational lensing data set. The mass maps are weighted projections of the density field (primarily dark matter) in the foreground of the observed galaxies. We use four reconstruction methods, each is a maximum a posteriori estimate with a different model for the prior probability of the map: Kaiser–Squires, null B-mode prior, Gaussian prior, and a sparsity prior. All methods are implemented on the celestial sphere to accommodate the large sky coverage of the DES Y3 data. We compare the methods using realistic ΛCDM simulations with mock data that are closely matched to the DES Y3 data. We quantify the performance of the methods at the map level and then apply the reconstruction methods to the DES Y3 data, performing tests for systematic error effects. The maps are compared with optical foreground cosmic-web structures and are used to evaluate the lensing signal from cosmic-void profiles. The recovered dark matter map covers the largest sky fraction of any galaxy weak lensing map to date., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This paper has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. NJ has been supported by funding from l’Ecole Normale Supérieure, Paris. OL and NJ acknowledge support from a European Research Council Advanced Grant TESTDE (FP7/291329) and STFC Consolidated Grants ST/M001334/1 and ST/R000476/1. AK has been supported by a Juan de la Cierva fellowship from MINECO with project number IJC2018-037730-I, and funding for this project was also available in part through SEV-2015-0548 and AYA2017-89891-P. Cosmic voids computational work has been performed on the UK SCIAMA High Performance Computing cluster supported by the ICG, SEPNet, and the University of Portsmouth.
Published: 2021

20. Pushing automated morphological classifications to their limits with the Dark Energy Survey

Author: Mariangela Bernardi, E. Suchyta, J. Carretero, M. Carrasco Kind, Christopher J. Conselice, A. G. Kim, A. Carnero Rosell, Felipe Menanteau, Marc Huertas-Company, E. Bertin, W. G. Hartley, I. Ferrero, Matt J. Jarvis, David J. Brooks, Jesús Vega-Ferrero, Samuel Hinton, Josh Frieman, J. Gschwend, M. E. C. Swanson, M. Smith, G. Gutierrez, D. L. Hollowood, Pablo Fosalba, R. L. C. Ogando, S. Serrano, Santiago Avila, Daniel Gruen, Ramon Miquel, H. Domínguez Sánchez, V. Scarpine, A. Choi, I. Sevilla-Noarbe, K. Honscheid, N. Kuropatkin, T. N. Varga, S. Desai, David Bacon, L. N. da Costa, S. Allam, Marcos Lima, G. Tarle, Michael Schubnell, Robert A. Gruendl, Ben Hoyle, Maria E. S. Pereira, Chun-Hao To, E. J. Sanchez, Antonella Palmese, B. Margalef, M. A. G. Maia, Michel Aguena, Robert Morgan, F. Tarsitano, F. Paz-Chinchón, A. K. Romer, J. De Vicente, A. A. Plazas, Douglas L. Tucker, Kyler Kuehn, M. Costanzi, R. D. Wilkinson, Juan Garcia-Bellido, J. Annis, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Vega-Ferrero, J., Domínguez Sánchez, H., Bernardi, M., Huertas-Company, M., Morgan, R., Margalef, B., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Brooks, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Choi, A., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Ferrero, I., Fosalba, P., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Jarvis, M., Kim, A. G., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Tarsitano, F., To, C., Tucker, D. L., Varga, T. N., Wilkinson, R. D., Laboratoire d'Etude du Rayonnement et de la Matière en Astrophysique (LERMA (UMR_8112)), Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-CY Cergy Paris Université (CY)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), structure [Galaxies], FOS: Physical sciences, Classification scheme, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Convolutional neural network, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, observational [Methods], 010303 astronomy & astrophysics, Lenticular galaxy, catalogues, Astrophysics::Galaxy Astrophysics, Physics, 010308 nuclear & particles physics, business.industry, Deep learning, Astronomy and Astrophysics, Pattern recognition, Catalogues, Astrophysics - Astrophysics of Galaxies, Galaxy, Redshift, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Dark energy, galaxies: structure, Artificial intelligence, methods: observational, Astrophysics - Cosmology and Nongalactic Astrophysics, catalogue, business, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Data release
Abstract: Vega-Ferrero, J., et al., We present morphological classifications of ∼27 million galaxies from the Dark Energy Survey (DES) Data Release 1 (DR1) using a supervised deep learning algorithm. The classification scheme separates: (a) early-type galaxies (ETGs) from late-type galaxies (LTGs); and (b) face-on galaxies from edge-on. Our convolutional neural networks (CNNs) are trained on a small subset of DES objects with previously known classifications. These typically have mr ≲ 17.7 mag; we model fainter objects to mr < 21.5 mag by simulating what the brighter objects with well-determined classifications would look like if they were at higher redshifts. The CNNs reach 97 per cent accuracy to mr < 21.5 on their training sets, suggesting that they are able to recover features more accurately than the human eye. We then used the trained CNNs to classify the vast majority of the other DES images. The final catalogue comprises five independent CNN predictions for each classification scheme, helping to determine if the CNN predictions are robust or not. We obtain secure classifications for ∼87 per cent and 73 per cent of the catalogue for the ETG versus LTG and edge-on versus face-on models, respectively. Combining the two classifications (a) and (b) helps to increase the purity of the ETG sample and to identify edge-on lenticular galaxies (as ETGs with high ellipticity). Where a comparison is possible, our classifications correlate very well with Sérsic index (n), ellipticity (ϵ), and spectral type, even for the fainter galaxies. This is the largest multiband catalogue of automated galaxy morphologies to date., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract no. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

21. One- and two-point source statistics from the LOFAR Two-metre Sky Survey first data release

Author: Nitesh Bhardwaj, Dominik J. Schwarz, J. Sabater, Glenn J. White, Matt J. Jarvis, Wendy L. Williams, David Bacon, Huub Röttgering, C. L. Hale, Marian Biermann, Timothy W. Shimwell, C. Tasse, Philip Best, Martin J. Hardcastle, Kenneth Duncan, Thilo M. Siewert, Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Unité Scientifique de la Station de Nançay (USN), Université d'Orléans (UO)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire des Sciences de l'Univers en région Centre (OSUC), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université d'Orléans (UO)-Observatoire de Paris, and Université Paris sciences et lettres (PSL)-Université d'Orléans (UO)
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, Point source, media_common.quotation_subject, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, galaxies [Radio continuum], Correlation function (astronomy), 01 natural sciences, symbols.namesake, statistics [Galaxies], ST/R000972/1, 0103 physical sciences, Statistics, Source counts, Planck, observations [Cosmology], 010303 astronomy & astrophysics, galaxies: statistics, STFC, Photometric redshift, media_common, radio continuum: galaxies, [PHYS]Physics [physics], Physics, 010308 nuclear & particles physics, RCUK, cosmology, Astronomy and Astrophysics, LOFAR, ST/N504233/1, Redshift, Universe, observations, 13. Climate action, Space and Planetary Science, cosmology: observations, symbols, large-scale structure of Universe, ST/N000668/1, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], ST/R000905/1, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The LOFAR Two-metre Sky Survey (LoTSS) will map the complete Northern sky and provide an excellent opportunity to study the distribution and evolution of the large-scale structure of the Universe. We study the completeness of the LoTSS first data release (DR1) and find a point-source completeness of 99 % above flux densities of 0.8 mJy and define a suite of quality cuts. We determine the count-in-cell statistics and differential source counts statistic and measure the angular two-point correlation function of the LoTSS radio sources. The counts-in-cell statistic reveals that the distribution of radio sources cannot be described by a spatial Poisson process. Instead, a good fit is provided by a compound Poisson distribution. The differential source counts are in good agreement with previous findings in deep fields at low radio frequencies and with simulated catalogues from the SKA design study sky and the Tiered Radio Extragalactic Continuum Simulation. The angular two-point correlation is $ 1$ deg. Restricting the value added source catalogue to low-noise regions and a flux density threshold of 2 mJy provides our most reliable estimate of the angular two-point correlation. For smaller flux density thresholds systematic issues are identified, most likely related to the flux density calibration of the individual pointings. Based on the distribution of photometric redshifts of LoTSS sources and the Planck 2018 best-fit cosmological model, the theoretically predicted angular two-point correlation between 0.1 deg and 6 deg agrees with the measured clustering for a subsample of radio sources with redshift information. We find agreement with the expectation of large-scale statistical isotropy of the radio sky at the per cent level. The angular two-point correlation agrees well with the expectation of the cosmological standard model. (abbreviated), 30 pages, 35 figures; corrections of affiliations and acknowledgements; version accepted by A&A
Published: 2020

22. Weak lensing of Type Ia Supernovae from the Dark Energy Survey

Author: Anais Möller, E. Bertin, A. K. Romer, Samuel Hinton, J. Gschwend, G. Gutierrez, A. Roodman, David J. Brooks, Sunayana Bhargava, T. N. Varga, Peter Doel, M. Smith, H. T. Diehl, Ramon Miquel, David Bacon, Ofer Lahav, Jennifer L. Marshall, Daniel Gruen, Jack Elvin-Poole, David J. James, Marcelle Soares-Santos, Kyler Kuehn, Ryan J. Foley, Geraint F. Lewis, Daniel Scolnic, D. L. Burke, A. Carnero Rosell, A. R. Walker, G. Tarle, M. E. C. Swanson, Juan Garcia-Bellido, Dragan Huterer, V. Scarpine, E. Suchyta, B. Flaugher, Robert A. Gruendl, Karl Glazebrook, Felipe Menanteau, J. Annis, Daniela Carollo, M. Sako, D. W. Gerdes, Peter Melchior, C. Lidman, B. E. Tucker, D. L. Hollowood, J. Carretero, Michael Schubnell, Tamara M. Davis, S. Desai, Michel Aguena, K. Honscheid, S. Serrano, M. Costanzi, I. Sevilla-Noarbe, N. Kuropatkin, L. N. da Costa, Antonella Palmese, M. A. G. Maia, Salcedo Romero de Ávila, Jochen Weller, Marcos Lima, F. J. Castander, T. M. C. Abbott, E. J. Sanchez, Edward Macaulay, A. A. Plazas, N. E. Sommer, D. J. Brout, M. Carrasco Kind, Robert C. Nichol, Enrique Gaztanaga, Laboratoire de Physique de Clermont (LPC), Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Macaulay, E., Bacon, D., Nichol, R. C., Davis, T. M., Elvin-Poole, J., Brout, D., Carollo, D., Glazebrook, K., Hinton, S. R., Lewis, G. F., Lidman, C., Möller, A., Sako, M., Scolnic, D., Smith, M., Sommer, N. E., Tucker, B. E., Abbott, T. M. C., Aguena, M., Annis, J., Avila, S., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Desai, S., Diehl, H. T., Doel, P., Flaugher, B., Foley, R. J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Palmese, A., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Varga, T. N., Walker, A. R., Weller, J., and Des, Collaboration
Subjects: Cosmological parameter, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cosmological parameters, FOS: Physical sciences, Astrophysics, 01 natural sciences, cosmology: observations, Large-scale structure of the universe, Astrophysics - Cosmology and Nongalactic Astrophysics, 0103 physical sciences, cosmological parameters, 010303 astronomy & astrophysics, Weak gravitational lensing, STFC, Angular correlation function, Physics, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Redshift, observations [cosmology], Supernova, Amplitude, Space and Planetary Science, Skewness, Dark energy, large-scale structure of the universe, ST/N000668/1, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], observation [cosmology]
Abstract: We consider the effects of weak gravitational lensing on observations of 196 spectroscopically confirmed Type Ia Supernovae (SNe Ia) from years 1 to 3 of the Dark Energy Survey (DES). We simultaneously measure both the angular correlation function and the non-Gaussian skewness caused by weak lensing. This approach has the advantage of being insensitive to the intrinsic dispersion of SNe Ia magnitudes. We model the amplitude of both effects as a function of $\sigma_8$, and find $\sigma_8 = 1.2^{+0.9}_{-0.8}$. We also apply our method to a subsample of 488 SNe from the Joint Light-curve Analysis (JLA) (chosen to match the redshift range we use for this work), and find $\sigma_8 = 0.8^{+1.1}_{-0.7}$. The comparable uncertainty in $\sigma_8$ between DES-SN and the larger number of SNe from JLA highlights the benefits of homogeneity of the DES-SN sample, and improvements in the calibration and data analysis., Comment: 10 pages, 7 figures, MNRAS
Published: 2020

23. Observing the earliest moments of supernovae using strong gravitational lenses

Author: Max Foxley-Marrable, David Bacon, Daniel A. Goldstein, Daniel Kasen, Chris Frohmaier, Thomas E. Collett, and E. Swann
Subjects: High Energy Astrophysical Phenomena (astro-ph.HE), Physics, education.field_of_study, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Red giant, Population, FOS: Physical sciences, Flux, Astronomy and Astrophysics, First light, Astrophysics, Shock (mechanics), Gravitation, Supernova, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, Extremely Large Telescope, Astrophysics - High Energy Astrophysical Phenomena, education, Solar and Stellar Astrophysics (astro-ph.SR), Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We determine the viability of exploiting lensing time delays to observe strongly gravitationally lensed supernovae (gLSNe) from first light. Assuming a plausible discovery strategy, the Legacy Survey of Space and Time (LSST) and the Zwicky Transient Facility (ZTF) will discover $\sim$ 110 and $\sim$ 1 systems per year before the supernova (SN) explosion in the final image respectively. Systems will be identified $11.7^{+29.8}_{-9.3}$ days before the final explosion. We then explore the possibility of performing early-time observations for Type IIP and Type Ia SNe in LSST-discovered systems. Using a simulated Type IIP explosion, we predict that the shock breakout in one trailing image per year will peak at $\lesssim$ 24.1 mag ($\lesssim$ 23.3) in the $B$-band ($F218W$), however evolving over a timescale of $\sim$ 30 minutes. Using an analytic model of Type Ia companion interaction, we find that in the $B$-band we should observe at least one shock cooling emission event per year that peaks at $\lesssim$ 26.3 mag ($\lesssim$ 29.6) assuming all Type Ia gLSNe have a 1 M$_\odot$ red giant (main sequence) companion. We perform Bayesian analysis to investigate how well deep observations with 1 hour exposures on the European Extremely Large Telescope would discriminate between Type Ia progenitor populations. We find that if all Type Ia SNe evolved from the double-degenerate channel, then observations of the lack of early blue flux in 10 (50) trailing images would rule out more than 27% (19%) of the population having 1 M$_\odot$ main sequence companions at 95% confidence., Comment: 17 pages, 15 figures (including appendices). Accepted by MNRAS 3rd May 2020
Published: 2020

24. The e-MERGE Survey (e-MERLIN Galaxy Evolution Survey): overview and survey description

Author: Edo Ibar, Luitje Koopmans, A. D. Biggs, Isabella Prandoni, T. K. Garratt, M. K. Argo, Alasdair Thomson, Mark Sargent, Kristen Coppin, H. Chen, J. M. Simpson, Robert Beswick, A. M. Swinbank, P. N. Best, I. M. McHardy, M. Bondi, David Bacon, Ian Smail, A. Njeri, Eskil Varenius, Jean-Paul Kneib, J. F. Radcliffe, Rob Ivison, Tiziana Venturi, Scott Chapman, Matt J. Jarvis, Kirsten Kraiberg Knudsen, Chris Pearson, A. M. S. Richards, Miguel A. Pérez-Torres, Simon Garrington, D. Guidetti, Charles E. Simpson, N. Wrigley, H. J. A. Röttgering, T. W. B. Muxlow, M. A. Garrett, Leah K. Morabito, Eric J. Murphy, Stephen Serjeant, Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Science and Technology Facilities Council (UK), South African Astronomical Observatory, Istituto Nazionale di Astrofisica, Fondo Nacional de Desarrollo Científico y Tecnológico (Chile), European Commission, and Astronomy
Subjects: radio-emission, Active galactic nucleus, star-formation history, media_common.quotation_subject, alma survey, F500, galaxies [Radio continuum], Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, high-resolution, 01 natural sciences, high-redshift [Galaxies], 0103 physical sciences, Galaxy formation and evolution, Surface brightness, ghz observations, wide-field, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, submillimeter galaxies, media_common, radio continuum: galaxies, Physics, [SDU.ASTR]Sciences of the Universe [physics]/Astrophysics [astro-ph], 010308 nuclear & particles physics, Galaxies: high-redshift, forming galaxies, Galaxies: evolution, Astronomy and Astrophysics, evolution [Galaxies], Astrophysics - Astrophysics of Galaxies, Galaxy, Interferometry, [SDU]Sciences of the Universe [physics], Space and Planetary Science, Sky, Data analysis, data reduction, hubble-deep-field, Merge (version control)
Abstract: Full list of authors: Muxlow, T. W. B.; Thomson, A. P.; Radcliffe, J. F.; Wrigley, N. H.; Beswick, R. J.; Smail, Ian; McHardy, I. M.; Garrington, S. T.; Ivison, R. J.; Jarvis, M. J.; Prandoni, I.; Bondi, M.; Guidetti, D.; Argo, M. K.; Bacon, David; Best, P. N.; Biggs, A. D.; Chapman, S. C.; Coppin, K.; Chen, H.; Garratt, T. K.; Garrett, M. A.; Ibar, E.; Kneib, Jean-Paul; Knudsen, Kirsten K.; Koopmans, L. V. E.; Morabito, L. K.; Murphy, E. J.; Njeri, A.; Pearson, Chris; Pérez-Torres, M. A.; Richards, A. M. S.; Röttgering, H. J. A.; Sargent, M. T.; Serjeant, Stephen; Simpson, C.; Simpson, J. M.; Swinbank, A. M.; Varenius, E.; Venturi, T., We present an overview and description of the e-MERGE Survey (e-MERLIN Galaxy Evolution Survey) Data Release 1 (DR1), a large program of high-resolution 1.5-GHz radio observations of the GOODS-N field comprising similar to 140 h of observations with enhanced-Multi-Element Remotely Linked Interferometer Network (e-MERLIN) and similar to 40 h with the Very Large Array (VLA). We combine the long baselines of e-MERLIN (providing high angular resolution) with the relatively closely packed antennas of the VLA (providing excellent surface brightness sensitivity) to produce a deep 1.5-GHz radio survey with the sensitivity (similar to 1.5 mu Jy beam(-1)), angular resolution (0.2-0.7 arcsec) and field-of-view (similar to 15x15 arcmin(2)) to detect and spatially resolve star-forming galaxies and active galactic nucleus (AGN) at z greater than or similar to 1. The goal of e-MERGE is to provide new constraints on the deep, sub-arcsecond radio sky which will be surveyed by SKA1-mid. In this initial publication, we discuss our data analysis techniques, including steps taken to model in-beam source variability over an similar to 20-yr baseline and the development of newpoint spread function/primary beam models to seamlessly merge e-MERLIN and VLA data in the uv plane. We present early science results, including measurements of the luminosities and/or linear sizes of similar to 500 galaxies selected at 1.5 GHz. In combination with deep Hubble Space Telescope observations, we measure a mean radio-to-optical size ratio of r(e-MERGE)/r(HST) similar to 1.02 +/- 0.03, suggesting that in most high-redshift galaxies, the similar to GHz continuum emission traces the stellar light seen in optical imaging. This is the first in a series of papers that will explore the similar to kpc-scale radio properties of star-forming galaxies and AGN in the GOODS-N field observed by e-MERGE DR1. © 2020 The Author(s)., APT, TWBM, RJB, and MAG acknowledge support from STFC (ST/P000649/1). APT further acknowledges and thanks Robert Dickson, Peter Draper, David Hempston, Anthony Holloway, and Alan Lotts for their extensive support managing the highperformance computing infrastructure, which has been essential for the successful delivery of e-MERGE DR1. JFR acknowledges the financial assistance of the South African Radio Astronomy Observatory (SARAO) towards this research (http://sarao.ac.za).IP acknowledges support from INAF under the PRIN SKA/CTA project 'FORECaST' and the PRIN MAIN STREAM project 'SAuROS'. EI acknowledges partial support from FONDECYT through grant no 1171710. We thank the anonymous reviewer for their detailed and constructive referee report, which has undoubtedly improved the quality of the final manuscript. e-MERLIN is a National Facility operated by the University of Manchester at Jodrell Bank Observatory on behalf of STFC. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated under cooperative agreement by Associated Universities, Inc. The authors acknowledge the use of the IRIDIS High Performance Computing Facility, and associated support services at the University of Southampton, in the completion of this work. We thank IRIS (www.iris.ac.uk) for provision of highperformance computing facilities. STFC IRIS is investing in the UK's Radio and mm/sub-mm Interferometry Services in order to improve data quality and throughput. The European VLBI Network is a joint facility of independent European, African, Asian, and North American radio astronomy institutes. Scientific results from data presented in this publication are derived from the following EVN project code(s): EG078B. The research leading to these results has received funding from the European Commission Horizon 2020 Research and Innovation Programme under grant agreement no. 730562 (RadioNet)., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation SEV-2017-0709.
Published: 2020

25. Dark Energy Survey Year 3 Results: Covariance Modelling and its Impact on Parameter Estimation and Quality of Fit

Author: R. Buchs, Jochen Weller, Samuel Hinton, G. Tarle, Marco Raveri, G. Gutierrez, Ian Harrison, A. Troja, J. Prat, Alexandra Amon, Y. Omori, H. Camacho, Brian Yanny, V. Scarpine, J. McCullough, Josh Frieman, M. Smith, M. Costanzi, Bhuvnesh Jain, I. Sevilla-Noarbe, Keith Bechtol, Daniel Gruen, David J. Brooks, M. Soares-Santos, Sunayana Bhargava, Ramon Miquel, Rogerio Rosenfeld, D. L. Hollowood, S. Serrano, Felipe Menanteau, Carlos Solans Sanchez, T. N. Varga, N. Weaverdyck, L. N. da Costa, M. Gatti, Ofer Lahav, Xiao Fang, A. Campos, J. DeRose, E. Suchyta, August E. Evrard, I. Ferrero, Matt J. Jarvis, J. Myles, David J. James, D. W. Gerdes, A. Roodman, Tommaso Giannantonio, Elisabeth Krause, Pablo Fosalba, Alex Drlica-Wagner, Tim Eifler, H. T. Diehl, Robert Morgan, Javier Sanchez, Dragan Huterer, Eli S. Rykoff, Marcos Lima, J. Carretero, J. Cordero, Erin Sheldon, C. Doux, Chun-Hao To, V. Terra, E. J. Sanchez, S. Samuroff, David Bacon, F. Paz-Chinchón, Martin Crocce, O. Alves, A. Carnero Rosell, R. D. Wilkinson, Michael Troxel, L. F. Secco, S. Pandey, J. Muir, A. Choi, K. Honscheid, Jack Elvin-Poole, Kyler Kuehn, A. Alarcon, Niall MacCrann, A. A. Plazas, G. Giannini, C. Davis, S. Everett, Scott Dodelson, Santiago Avila, Chihway Chang, S. Desai, J. Gschwend, Antonella Palmese, Gary Bernstein, Maria E. S. Pereira, M. A. G. Maia, M. Rodriguez-Monroy, A. Porredon, E. Baxter, E. Bertin, W. G. Hartley, Juan Garcia-Bellido, Oliver Friedrich, M. Carrasco Kind, F. Andrade-Oliveira, Enrique Gaztanaga, R. Cawthon, Daniel Thomas, F. Elsner, J. De Vicente, Michel Aguena, D. L. Burke, Robert A. Gruendl, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), University of Cambridge, Universidade Estadual Paulista (UNESP), Laboratório Interinstitucional de e-Astronomia - LIneA, University of Michigan, Fermi National Accelerator Laboratory, University of Arizona, California Institute of Technology, University of Chicago, Stanford University, University of Hawaii, Ohio State University, Institut d'Estudis Espacials de Catalunya (IEEC), CSIC, SLAC National Accelerator Laboratory, National Center for Supercomputing Applications, Medioambientales y Tecnológicas (CIEMAT), University of Portsmouth, University of Sussex, Princeton University, University of Southampton, Oak Ridge National Laboratory, Max Planck Institute for Extraterrestrial Physics, Ludwig-Maximilians Universität München, Friedrich, O., Andrade-Oliveira, F., Camacho, H., Alves, O., Rosenfeld, R., Sanchez, J., Fang, X., Eifler, T. F., Krause, E., Chang, C., Omori, Y., Amon, A., Baxter, E., Elvin-Poole, J., Huterer, D., Porredon, A., Prat, J., Terra, V., Troja, A., Alarcon, A., Bechtol, K., Bernstein, G. M., Buchs, R., Campos, A., Carnero Rosell, A., Carrasco Kind, M., Cawthon, R., Choi, A., Cordero, J., Crocce, M., Davis, C., Derose, J., Diehl, H. T., Dodelson, S., Doux, C., Drlica-Wagner, A., Elsner, F., Everett, S., Fosalba, P., Gatti, M., Giannini, G., Gruen, D., Gruendl, R. A., Harrison, I., Hartley, W. G., Jain, B., Jarvis, M., Maccrann, N., Mccullough, J., Muir, J., Myles, J., Pandey, S., Raveri, M., Roodman, A., Rodriguez-Monroy, M., Rykoff, E. S., Samuroff, S., Sánchez, C., Secco, L. F., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Weaverdyck, N., Yanny, B., Aguena, M., Avila, S., Bacon, D., Bertin, E., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Evrard, A. E., Ferrero, I., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kuehn, K., Lahav, O., Lima, M., Maia, M. A. G., Menanteau, F., Miquel, R., Morgan, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Sanchez, E., Scarpine, V., Serrano, S., Soares-Santos, M., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., Wilkinson, R. D., and Des, Collaboration
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Gaussian, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, 7. Clean energy, symbols.namesake, 0103 physical sciences, Applied mathematics, 010303 astronomy & astrophysics, Physics, 010308 nuclear & particles physics, Equation of state (cosmology), Estimation theory, Covariance matrix, Astronomy and Astrophysics, Covariance, cosmology: observations, large-scale structure of Universe, observations [cosmology], Weighting, Space and Planetary Science, symbols, Dark energy, Trispectrum, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics, observation [cosmology]
Abstract: Friedrich, O., et al. DES Collaboration, We describe and test the fiducial covariance matrix model for the combined two-point function analysis of the Dark Energy Survey Year 3 (DES-Y3) data set. Using a variety of new ansatzes for covariance modelling and testing, we validate the assumptions and approximations of this model. These include the assumption of Gaussian likelihood, the trispectrum contribution to the covariance, the impact of evaluating the model at a wrong set of parameters, the impact of masking and survey geometry, deviations from Poissonian shot noise, galaxy weighting schemes, and other sub-dominant effects. We find that our covariance model is robust and that its approximations have little impact on goodness of fit and parameter estimation. The largest impact on best-fitting figure-of-merit arises from the so-called fsky approximation for dealing with finite survey area, which on average increases the χ2 between maximum posterior model and measurement by 3.7 per cent (Δχ2 ≈ 18.9). Standard methods to go beyond this approximation fail for DES-Y3, but we derive an approximate scheme to deal with these features. For parameter estimation, our ignorance of the exact parameters at which to evaluate our covariance model causes the dominant effect. We find that it increases the scatter of maximum posterior values for Ωm and σ8 by about 3 per cent and for the dark energy equation-of-state parameter by about 5 per cent⁠., The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2020
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26. Identifying RR Lyrae Variable Stars in Six Years of the Dark Energy Survey

Author: H. T. Diehl, A. R. Walker, David Bacon, A. Roodman, M. Smith, Samuel Hinton, G. Gutierrez, Daniel Gruen, David J. James, Tenglin Li, Michael Schubnell, J. De Vicente, G. Tarle, J. Gschwend, D. L. Hollowood, Maria E. S. Pereira, S. Serrano, Michel Aguena, R. L. C. Ogando, D. W. Gerdes, Jennifer L. Marshall, A. Carnero Rosell, D. L. Burke, S. Desai, M. Costanzi, David J. Brooks, I. Ferrero, P. S. Ferguson, Yanxi Zhang, S. Allam, Robert A. Gruendl, Daniel Thomas, Eric H. Neilsen, Lucas M. Macri, Antonella Palmese, Martin Crocce, W. C. Wester, T. M. C. Abbott, R. D. Wilkinson, Alex Drlica-Wagner, C. E. Martínez-Vázquez, M. A. G. Maia, Juan Garcia-Bellido, E. Bertin, Chun-Hao To, Robert Morgan, F. Paz-Chinchón, Keith Bechtol, Felipe Menanteau, E. J. Sanchez, K. M. Stringer, E. Suchyta, Ben Hoyle, A. K. Vivas, Kyler Kuehn, Ramon Miquel, K. Honscheid, A. A. Plazas, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, T. N. Varga, L. N. da Costa, K. Tavangar, J. Carretero, Enrique Gaztanaga, Andrew B. Pace, M. Carrasco Kind, Peter Doel, UAM. Departamento de Física Teórica, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Stringer, K. M., Drlica-Wagner, A., Macri, L., Martínez-Vázquez, C. E., Vivas, A. K., Ferguson, P., Pace, A. B., Walker, A. R., Neilsen, E., Tavangar, K., Wester, W., Abbott, T. M. C., Aguena, M., Allam, S., Bacon, D., Bechtol, K., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Diehl, H. T., Doel, P., Ferrero, I., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., James, D. J., Kuehn, K., Kuropatkin, N., T. S., Li, Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Wilkinson, R. D., Zhang, Y., the DES Collaboration, National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), and Australian Research Council
Subjects: Proper motion, Milky Way stellar halo, 010504 meteorology & atmospheric sciences, RR Lyrae variable stars, Milky Way, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, RR Lyrae variable, 01 natural sciences, Milky Way Galaxy, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, Satellite galaxy, Astrophysics::Solar and Stellar Astrophysics, Eridanus, RRab variable star, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Solar and Stellar Astrophysics (astro-ph.SR), 0105 earth and related environmental sciences, Dwarf galaxy, Physics, RRab variable stars, the Milky Way, 1410, 1413, 1060, 1054, Astrophysics - Astrophysics of Galaxies, Astrophysics - Solar and Stellar Astrophysics, Física, Astronomy and Astrophysics, RR Lyrae variable star, Stars, Space and Planetary Science, Globular cluster, Astrophysics of Galaxies (astro-ph.GA), [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract: Stringer, K. M., et al. (DES Collaboration), We present a search for RR Lyrae stars using the full six-year data set from the Dark Energy Survey covering ∼5000 deg2 of the southern sky. Using a multistage multivariate classification and light-curve template-fitting scheme, we identify RR Lyrae candidates with a median of 35 observations per candidate. We detect 6971 RR Lyrae candidates out to ∼335 kpc, and we estimate that our sample is >70% complete at ∼150 kpc. We find excellent agreement with other wide-area RR Lyrae catalogs and RR Lyrae studies targeting the Magellanic Clouds and other Milky Way satellite galaxies. We fit the smooth stellar halo density profile using a broken-power-law model with fixed halo flattening (q = 0.7), and we find strong evidence for a break at = - R 32.1+ kpc 0 0.9 1.1 with an inner slope of = - - n 2.54+ 1 0.09 0.09 and an outer slope of = - - n 5.42+ 2 0.14 0.13. We use our catalog to perform a search for Milky Way satellite galaxies with large sizes and low luminosities. Using a set of simulated satellite galaxies, we find that our RR Lyrae-based search is more sensitive than those using resolved stellar populations in the regime of large (rh 500 pc), low-surface-brightness dwarf galaxies. A blind search for large, diffuse satellites yields three candidate substructures. The first can be confidently associated with the dwarf galaxy Eridanus II. The second has a distance and proper motion similar to the ultrafaint dwarf galaxy Tucana II but is separated by ∼5 deg. The third is close in projection to the globular cluster NGC 1851 but is ∼10 kpc more distant and appears to differ in proper motion., The DES data management system is supported by the National Science Foundation under grant Nos. AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007- 2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through project number CE110001020, and the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2).
Published: 2020
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27. Obtaining non-linear galaxy bias constraints from galaxy-lensing phase differences

Author: David Bacon and Marc Manera
Subjects: Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010308 nuclear & particles physics, Dark matter, Spectral density, Estimator, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Galaxy, Redshift, Space and Planetary Science, 0103 physical sciences, Dark energy, 010303 astronomy & astrophysics, Bispectrum, Weak gravitational lensing, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We demonstrate the utility and constraining power of a new statistic for investigating galaxy bias: the galaxy-lensing phase difference. The statistic consists in taking the differences of the phases of the harmonic wave-modes between the weak lensing convergence field and the galaxy count field. We use dark matter simulations populated with galaxies up to redshift $z=1$ to test the performance of this estimator. We find that phase differences are sensitive to the absolute value of the second order bias ($c_2=b_2/b_1$), and demonstrate why this is the case. For a $\sim$1500 sq. deg. galaxy survey we recover $c_2$ with an error of approximately $0.1$ for a wide range of $c_2$ values; current constraints from redshift surveys have errors of 0.1-0.6 depending on redshift. This new statistic is therefore expected to provide constraints for $c_2$ which are complementary and competitive with constraining power by the conventional estimators from the power spectrum and bispectrum. For the Dark Energy Survey (DES), we predict leading measurements of second-order bias., Comment: 10 pages, 5 figures
Published: 2020
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28. Dark Energy Survey Year 1 Results: Wide Field Mass Maps via Forward Fitting in Harmonic Space

Author: B. Flaugher, Peter Doel, Michael Troxel, Ben Hoyle, H. T. Diehl, T. M. C. Abbott, David Bacon, E. J. Sanchez, Erin Sheldon, G. Gutierrez, I. Sevilla-Noarbe, N. Kuropatkin, L. N. da Costa, M. E. C. Swanson, Joshua A. Frieman, Peter Melchior, Douglas L. Tucker, Kyler Kuehn, K. Honscheid, Shantanu Desai, Matt J. Jarvis, J. Carretero, V. Scarpine, Jennifer L. Marshall, Sarah Bridle, Chihway Chang, G. Tarle, Stella Seitz, D. L. Hollowood, M. Smith, David J. James, Tesla E. Jeltema, Daniel Gruen, M. A. G. Maia, Alistair R. Walker, W. G. Hartley, Joe Zuntz, S. Serrano, B. Mawdsley, David J. Brooks, Pablo Fosalba, A. Roodman, Vinu Vikram, D. W. Gerdes, J. Annis, Marcos Lima, J. Gschwend, D. L. Burke, A. Carnero Rosell, E. Buckley-Geer, Robert A. Gruendl, A. A. Plazas, E. Suchyta, August E. Evrard, M. Gatti, Ramon Miquel, S. Samuroff, R. C. Smith, Niall Jeffrey, Juan Garcia-Bellido, E. Bertin, Eduardo Rozo, Flavia Sobreira, M. Carrasco Kind, Enrique Gaztanaga, J. De Vicente, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, and UAM. Departamento de Física Teórica
Subjects: ST/S000550/1, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Large-scale structure of Universe, Library science, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, dark matter, gravitational lensing: weak, 0103 physical sciences, Dark matter, media_common.cataloged_instance, Weak, European union, 010303 astronomy & astrophysics, License, Publication, STFC, media_common, Physics, Matter, Harmonic space, 010308 nuclear & particles physics, business.industry, Non-Gaussianity, European research, Física, RCUK, Astronomy and Astrophysics, Galaxies, Des, Wide field, Cosmology, Alliance, Space and Planetary Science, Constraints, astro-ph.CO, large-scale structure of Universe, Resolution, business, weak [Gravitational lensing], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics, Minkowski Functionals
Abstract: We present new wide-field weak lensing mass maps for the Year 1 Dark Energy Survey (DES) data, generated via a forward fitting approach. This method of producing maps does not impose any prior constraints on the mass distribution to be reconstructed. The technique is found to improve the map reconstruction on the edges of the field compared to the conventional Kaiser–Squires method, which applies a direct inversion on the data; our approach is in good agreement with the previous direct approach in the central regions of the footprint. The mapping technique is assessed and verified with tests on simulations; together with the Kaiser–Squires method, the technique is then applied to data from the DES Year 1 data and the differences between the two methods are compared. We also produce the first DES measurements of the convergence Minkowski functionals and compare them to those measured in simulations., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015- 71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV 2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant ˆ 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.
Published: 2020

29. Dark energy survey year 1 results: Cosmological constraints from cluster abundances and weak lensing

Author: Alex Drlica-Wagner, Dragan Huterer, J. Annis, I. Sevilla-Noarbe, Daniel Scolnic, N. Kuropatkin, Tesla E. Jeltema, F. Paz-Chinchón, K. D. Eckert, T. N. Varga, Brian Nord, Adam Mantz, L. N. da Costa, M. Costanzi, M. A. G. Maia, Michel Aguena, E. Suchyta, August E. Evrard, Brian Yanny, Shantanu Desai, A. Alarcon, M. W. G. Johnson, A. K. Romer, J. Carretero, Paul Martini, V. Scarpine, I. Ferrero, Matt J. Jarvis, Tamara M. Davis, Yanxi Zhang, Tim Eifler, Arya Farahi, David James, Z. Zhang, D. W. Gerdes, Joshua A. Frieman, D. Gruen, R. Cawthon, Antonella Palmese, Pablo Fosalba, Carlos Solans Sanchez, D. H. Brooks, A. R. Walker, B. Flaugher, Risa H. Wechsler, P. Rooney, Keith Bechtol, M. Sako, C. Lidman, A. von der Linden, Erin Sheldon, D. L. Hollowood, M. E. C. Swanson, Huan Lin, Sebastian Bocquet, Julian A. Mayers, Steve Kent, J. De Vicente, Martin Crocce, R. D. Wilkinson, D. L. Burke, Daniel Thomas, E. Buckley-Geer, M. Carrasco Kind, S. Everett, Robert C. Nichol, S. Allam, Robert A. Gruendl, R. L. C. Ogando, J. P. Dietrich, Juan Garcia-Bellido, E. Bertin, Marcos Lima, Michael Troxel, Eduardo Rozo, Jack Elvin-Poole, Enrique Gaztanaga, Peter Doel, Peter Melchior, Ofer Lahav, M. Smith, H. T. Diehl, Douglas L. Tucker, Kyler Kuehn, J. Allyn Smith, Paul Giles, David Bacon, Niall MacCrann, Ami Choi, Ben Hoyle, A. Roodman, Markus Rau, Tommaso Giannantonio, J. Gschwend, Gary Bernstein, Hao-Yi Wu, Tenglin Li, Scott Dodelson, S. W. Allen, Santiago Avila, Chihway Chang, M. D. Johnson, Ramon Miquel, A. Bermeo, Elisabeth Krause, Sebastian Grandis, J. Mena-Fernández, Joe Zuntz, Jochen Weller, F. J. Castander, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, K. Honscheid, Eli S. Rykoff, Richard G. Kron, A. Carnero Rosell, Felipe Menanteau, S. Samuroff, Gregory Tarle, Santiago Serrano, J. DeRose, D. J. Brout, J. Prat, Samuel Hinton, G. Gutierrez, Xi Chen, A. A. Plazas, Sunayana Bhargava, Joseph J. Mohr, A. Saro, Jennifer L. Marshall, W. G. Hartley, M. Gatti, Juan Estrada, Michael Schubnell, Ministerio de Economía y Competitividad (España), Generalitat de Catalunya, European Commission, European Research Council, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, UAM. Departamento de Física Teórica, Abbott, T. M. C., Aguena, M., Alarcon, A., Allam, S., Allen, S., Annis, J., Avila, S., Bacon, D., Bechtol, K., Bermeo, A., Bernstein, G. M., Bertin, E., Bhargava, S., Bocquet, S., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, X., Choi, A., Costanzi, M., Crocce, M., Da Costa, L. N., Davis, T. M., De Vicente, J., Derose, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Elvin-Poole, J., Estrada, J., Everett, S., Evrard, A. E., Farahi, A., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., Garcia-Bellido, J., Gatti, M., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Giles, P., Grandis, S., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Hoyle, B., Huterer, D., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kent, S., Krause, E., Kron, R., Kuehn, K., Kuropatkin, N., Lahav, O., Li, T. S., Lidman, C., Lima, M., Lin, H., Maccrann, N., Maia, M. A. G., Mantz, A., Marshall, J. L., Martini, P., Mayers, J., Melchior, P., Mena-Fernandez, J., Menanteau, F., Miquel, R., Mohr, J. J., Nichol, R. C., Nord, B., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Prat, J., Rau, M. M., Romer, A. K., Roodman, A., Rooney, P., Rozo, E., Rykoff, E. S., Sako, M., Samuroff, S., Sanchez, C., Sanchez, E., Saro, A., Scarpine, V., Schubnell, M., Scolnic, D., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, J. A., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Troxel, M. A., Tucker, D. L., Varga, T. N., Von Der Linden, A., Walker, A. R., Wechsler, R. H., Weller, J., Wilkinson, R. D., Wu, H., Yanny, B., Zhang, Y., Zhang, Z., and Zuntz, J.
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Software_OPERATINGSYSTEMS, ComputingMethodologies_SIMULATIONANDMODELING, Cosmic microwave background, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Data_CODINGANDINFORMATIONTHEORY, 01 natural sciences, XMM-Newton Telescope, symbols.namesake, 0103 physical sciences, Hardware_INTEGRATEDCIRCUITS, Planck, 010303 astronomy & astrophysics, Weak gravitational lensing, Galaxy cluster, Physics, 010308 nuclear & particles physics, Física, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Galaxies, Cosmos, Redshift, Galaxy, Cosmology, Dark energy, symbols, Baryon acoustic oscillations, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: DES Collaboration: et al., We perform a joint analysis of the counts and weak lensing signal of redMaPPer clusters selected from the Dark Energy Survey (DES) Year 1 dataset. Our analysis uses the same shear and source photometric redshifts estimates as were used in the DES combined probes analysis. Our analysis results in surprisingly low values for S8=σ8(Ωm/0.3)0.5=0.65±0.04, driven by a low matter density parameter, Ωm=0.179+0.031−0.038, with σ8−Ωm posteriors in 2.4σ tension with the DES Y1 3x2pt results, and in 5.6σ with the Planck CMB analysis. These results include the impact of post-unblinding changes to the analysis, which did not improve the level of consistency with other data sets compared to the results obtained at the unblinding. The fact that multiple cosmological probes (supernovae, baryon acoustic oscillations, cosmic shear, galaxy clustering and CMB anisotropies), and other galaxy cluster analyses all favor significantly higher matter densities suggests the presence of systematic errors in the data or an incomplete modeling of the relevant physics. Cross checks with x-ray and microwave data, as well as independent constraints on the observable-mass relation from Sunyaev-Zeldovich selected clusters, suggest that the discrepancy resides in our modeling of the weak lensing signal rather than the cluster abundance. Repeating our analysis using a higher richness threshold (λ≥30) significantly reduces the tension with other probes, and points to one or more richness-dependent effects not captured by our model., The DES data management system is supported by the National Science Foundation under Grants No. AST-1138766 and No. AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under Grants No. AYA2015-71825, No. ESP2015-66861, No. FPA2015-68048, No. SEV2016-0588, No. SEV-2016-0597, and No. MDM-2015-0509, some of which include ERDF funds from the European Union. I. F. A. E. is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC Grant agreements No. 240672, No. 291329, and No. 306478. We acknowledge support from the Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through Project No. CE110001020. This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DEAC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. M. C. and A. S. are supported by the ERC-StG “ClustersXCosmo” Grant agreement No. 716762. A. S. is supported by the FAREMIUR grant “ClustersXEuclid”. E. R. was supported by the DOE Grant No. DE-SC0015975, by the Sloan Foundation, Grant No. FG-2016-6443, and the Cottrell Scholar program of the Research Corporation for Science Advancement. This research used simulations that were performed resources of the National Energy Research Scientific Computing Center (NERSC), a U.S. Department of Energy Office of Science User Facility operated under Contract No. DEAC02-05CH11231.
Published: 2020

30. The effect of environment on Type Ia supernovae in the Dark Energy Survey three-year cosmological sample

Author: A. R. Walker, Michel Aguena, Devon L. Hollowood, David J. Brooks, J. Gschwend, Samuel Hinton, Mark Sullivan, G. Gutierrez, J. Carretero, C. Lidman, Santiago Avila, Tamara M. Davis, Antonella Palmese, G. Tarle, A. A. Plazas, A. K. Romer, Paul Martini, David J. James, I. Sevilla-Noarbe, Lluís Galbany, Peter Doel, Daniel Thomas, D. L. Burke, N. Kuropatkin, H. T. Diehl, David Bacon, Agnès Ferté, Pablo Fosalba, M. Costanzi, S. Desai, E. Suchyta, Matthew Grayling, P. Wiseman, T. N. Varga, Juan Garcia-Bellido, F. J. Castander, C. Frohmaier, L. N. da Costa, J. Annis, R. L. C. Ogando, S. Allam, Robert A. Gruendl, F. Paz-Chinchón, S. A. Uddin, T. M. C. Abbott, Kyler Kuehn, D. J. Brout, I. Ferrero, S. Everett, A. G. Kim, K. Honscheid, Lisa Kelsey, Chun-Hao To, Anais Möller, E. Bertin, Jennifer L. Marshall, E. J. Sanchez, Maria Vincenzi, Mathew Smith, R. D. Wilkinson, Claudia P. Gutiérrez, M. Sako, Felipe Menanteau, A. Carnero Rosell, Daniel Scolnic, S. Serrano, Ramon Miquel, Richard Kessler, Ofer Lahav, Robert Morgan, Marcos Lima, Daniel Gruen, Carlos Solans Sanchez, D. W. Gerdes, B. Flaugher, M. Carrasco Kind, UAM. Departamento de Física Teórica, European Commission, Ministerio de Ciencia, Innovación y Universidades (España), Science and Technology Facilities Council (UK), Kelsey, L., Sullivan, M., Smith, M., Wiseman, P., Brout, D., Davis, T. M., Frohmaier, C., Galbany, L., Grayling, M., Gutiérrez, C. P., Hinton, S. R., Kessler, R., Lidman, C., Möller, A., Sako, M., Scolnic, D., Uddin, S. A., Vincenzi, M., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bacon, D., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Costanzi, M., da Costa, L. N., Desai, S., Diehl, H. T., Doel, P., Everett, S., Ferrero, I., Ferté, A., Flaugher, B., Fosalba, P., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Kim, A. G., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Marshall, J. L., Martini, P., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Sánchez, C., Sanchez, E., Serrano, S., Sevilla-Noarbe, I., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Walker, A. R., and Wilkinson, R. D.
Subjects: Length scale, Distance Scale, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Stellar mass, general [Supernovae], FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Surveys, 01 natural sciences, Cosmology: Observations, Photometry (optics), 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, survey, Astrophysics - Cosmology and Nongalactic Astrophysic, observations [Cosmology], 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Physics, Distance scale, 010308 nuclear & particles physics, 4. Education, surveys, supernovae: general, distance scale, cosmology: observations, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Física, Astronomy and Astrophysics, Light curve, Galaxy, Supernovae: General, Supernova, 13. Climate action, Space and Planetary Science, Homogeneous, Astrophysics of Galaxies (astro-ph.GA), Dark energy, ESTRUTURA DO UNIVERSO, Astrophysics::Earth and Planetary Astrophysics, observation [cosmology]
Abstract: This work was supported by the Science and Technology Facilities Council (grant number ST/P006760/1) through the DISCnet Centre forDoctoral Training. M.Sullivan and M.Smith acknowledge support from EU/FP7-ERC grant 615929, and PW acknowledges support from STFC grant ST/R000506/1. LG was funded by the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 839090. This work has been partially supported by the Spanish grant PGC2018-095317-B-C21 within the European Funds for Regional Development (FEDER). Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio StateUniversity, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cientifico e Tecnologico and the Ministerio da Ciencia, Tecnologia e Inovacao, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgen ossische Technische Hochschule (ETH) Z urich, Fermi National Accelerator Laboratory, theUniversity of Illinois at Urbana Champaign, the Institut de Ciencies de l'Espai (IEEC/CSIC), the Institut de Fisica d'Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universit at M unchen and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2)., This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the US Department of Energy, Office of Science, Office of High Energy Physics., The data underlying this paper are available in the DES3YR data release, available at https://www.darkenergysurvey.org/des-year-3- supernova-cosmology-results/, and in the online supplementary material., Supplementary data are available at MNRAS online. Table 1. Seeing-optimized image stack parameters., Analyses of Type Ia supernovae (SNe Ia) have found puzzling correlations between their standardized luminosities and host galaxy properties: SNe Ia in high-mass, passive hosts appear brighter than those in lower mass, star-forming hosts. We examine the host galaxies of SNe Ia in the Dark Energy Survey 3-yr spectroscopically confirmed cosmological sample, obtaining photometry in a series of 'local' apertures centred on the SN, and for the global host galaxy. We study the differences in these host galaxy properties, such as stellar mass and rest-frame U - R colours, and their correlations with SN Ia parameters including Hubble residuals. We find all Hubble residual steps to be >3 sigma in significance, both for splitting at the traditional environmental property sample median and for the step of maximum significance. For stellar mass, we find a maximal local step of 0.098 +/- 0.018mag; similar to 0.03mag greater than the largest global stellar mass step in our sample (0.070 +/- 0.017mag). When splitting at the sample median, differences between local and global U - R steps are small, both similar to 0.08mag, but are more significant than the global stellar mass step (0.057 +/- 0.017mag). We split the data into sub-samples based on SN Ia light-curve parameters: stretch (x(1)) and colour (c), finding that redder objects (c > 0) have larger Hubble residual steps, for both stellar mass and U - R, for both local and global measurements, of similar to 0.14mag. Additionally, the bluer (star-forming) local environments host a more homogeneous SN Ia sample, with local U - R rms scatter as low as 0.084 +/- 0.017mag for blue (c < 0) SNe Ia in locally blue U - R environments., Science and Technology Facilities Council through the DISCnet Centre forDoctoral Training ST/P006760/1, EU/FP7-ERC grant 615929, UK Research & Innovation (UKRI) Science & Technology Facilities Council (STFC) ST/R000506/1, European Commission 839090, Spanish grant within the European Funds for Regional Development (FEDER) PGC2018-095317-B-C21, United States Department of Energy (DOE), National Science Foundation (NSF), Spanish Government, UK Research & Innovation (UKRI) Science & Technology Facilities Council (STFC), Higher Education Funding Council for England, National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, Ohio State University, Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University, Ciencia Tecnologia e Inovacao (FINEP), Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro, National Council for Scientific and Technological Development (CNPq), Ministerio da Ciencia, Tecnologia e Inovacao, German Research Foundation (DFG), University of California at Santa Cruz, University of Cambridge, Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid, ETH Zurich, United States Department of Energy (DOE) University of Chicago, University of Illinois at Urbana Champaign, Institut de Ciencies de l'Espai (IEEC/CSIC), Institut de Fisica d'Altes Energies, Ludwig-Maximilians Universit at Munchen and the associated Excellence Cluster Universe, University of Michigan System, National Science Foundation (NSF) NSF - Directorate for Mathematical & Physical Sciences (MPS), University of Nottingham, University of Pennsylvania, University of Portsmouth, Stanford University, University of Sussex, Texas AM University, OzDES Membership Consortium, National Science Foundation (NSF) AST-1138766 AST-1536171, MINECO AYA2015-71825 ESP2015-66861 FPA2015-68048 SEV-2016-0588 SEV-2016-0597 MDM-2015-0509, ERDF funds from the European Union, CERCA program of the Generalitat de Catalunya, European Research Council under the European Union's Seventh Framework Program (FP7/2007-2013), European Research Council (ERC) European Commission 240672 291329 306478, National Council for Scientific and Technological Development (CNPq) 465376/2014-2, Kavli Institute of Cosmological Physics at the University of Chicago, University College London, DES-Brazil Consortium, University of Edinburgh
Published: 2020
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31. Fundamental physics with the Square Kilometre Array

Author: Amanda Weltman, Mairi Sakellariadou, Francesca Vidotto, Laura Wolz, M. Méndez-Isla, Hamsa Padmanabhan, Ian Harrison, Jose A. R. Cembranos, Roy Maartens, Philip Bull, R. M. T. Connors, Alkistis Pourtsidou, Chris Clarkson, Peter K. S. Dunsby, A. de la Cruz-Dombriz, Céline Bœhm, Christoph Weniger, Tejaswi Venumadhav, T. Trombetti, Stefano Camera, Katharine Kelley, Signe Riemer-Sørensen, Gianfranco Bertone, J. Silk, Bryan Gaensler, Carlo Burigana, Marcus Brüggen, Julien Larena, Peter J. Quinn, Franco Vazza, Francisco Villaescusa-Navarro, Camille Bonvin, Martin Sahlén, Lijing Shao, Daniele Gaggero, Rennan Barkana, Albert Bosma, Soumya D. Mohanty, Yin-Zhe Ma, Sambatra Andrianomena, Nicolao Fornengo, Alvise Raccanelli, E. Athanassoula, Steven G. Murray, Yue-Fei Wang, José Fonseca, Jonathan R. Pritchard, Fupeng Zhang, David Parkinson, David Bacon, Francesca Calore, Marco Regis, Prasenjit Saha, Ministerio de Economía y Competitividad (España), Laboratoire d'Astrophysique de Marseille (LAM), Aix Marseille Université (AMU)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'Annecy-le-Vieux de Physique Théorique (LAPTH), Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Weltman, A., Bull, P., Camera, S., Kelley, K., Padmanabhan, H., Pritchard, J., Raccanelli, A., Riemer-Sørensen, S., Shao, L., Andrianomena, S., Athanassoula, E., Bacon, D., Barkana, R., Bertone, G., Bœhm, C., Bonvin, C., Bosma, A., Brüggen, M., Burigana, C., Calore, F., Cembranos, J. A. R., Clarkson, C., Connors, R. M. T., Cruz-Dombriz, Á. de la, Dunsby, P. K. S., Fonseca, J., Fornengo, N., Gaggero, D., Harrison, I., Larena, J., Ma, Y.-Z., Maartens, R., Méndez-Isla, M., Mohanty, S. D., Murray, S., Parkinson, D., Pourtsidou, A., Quinn, P. J., Regis, M., Saha, P., Sahlén, M., Sakellariadou, M., Silk, J., Trombetti, T., Vazza, F., Venumadhav, T., Vidotto, F., Villaescusa-Navarro, F., Wang, Y., Weniger, C., Wolz, L., Zhang, F., Gaensler, B. M., Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Aix Marseille Université (AMU)-Centre National d'Études Spatiales [Toulouse] (CNES), Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commission of the European Communities, and Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7)
Subjects: Astrofísica, PULSAR-TIMING PACKAGE, cosmological model, gravitation: model, Astrophysics, 01 natural sciences, Cosmology, SAGITTARIUS-A-ASTERISK, STRONG-FIELD TESTS, High Energy Physics - Phenomenology (hep-ph), CMB SPECTRAL DISTORTIONS, dark energy, 010303 astronomy & astrophysics, pulsar, Physics, COSMIC cancer database, astroparticle physics, cosmology, gravitation, pulsars: general, reionisation, telescopes, ST/L000326/1, Astrophysics::Instrumentation and Methods for Astrophysics, POWER-SPECTRUM, hep-ph, SUPERMASSIVE BLACK-HOLE, High Energy Physics - Phenomenology, Computer Science::Graphics, Physics::Space Physics, Physical Sciences, astro-ph.CO, MILKY-WAY, galaxy: cluster, Astrophysics::Earth and Planetary Astrophysics, GALACTIC SYNCHROTRON EMISSION, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 0299 Other Physical Sciences, interferometer, Dark matter, general [Pulsars], FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astronomy & Astrophysics, WARM DARK-MATTER, dark matter, Radio telescope, galaxy: formation, 0103 physical sciences, 0201 Astronomical and Space Sciences, ionization, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Instrumentation and Methods for Astrophysics (astro-ph.IM), STFC, Astroparticle physics, Science & Technology, 010308 nuclear & particles physics, Gravitational wave, RCUK, Astronomy and Astrophysics, Galaxy, gravitational radiation detector, NEUTRAL HYDROGEN, detector: sensitivity, Cosmology and Nongalactic Astrophysics, Square Kilometer Array, general, Space and Planetary Science, gravitational radiation: emission, [PHYS.HPHE]Physics [physics]/High Energy Physics - Phenomenology [hep-ph], Dark energy, pulsars, ST/N000668/1, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], astro-ph.IM
Abstract: Square Kilometre Array: et al., arXiv:1810.02680v3, The Square Kilometre Array (SKA) is a planned large radio interferometer designed to operate over a wide range of frequencies, and with an order of magnitude greater sensitivity and survey speed than any current radio telescope. The SKA will address many important topics in astronomy, ranging from planet formation to distant galaxies. However, in this work, we consider the perspective of the SKA as a facility for studying physics. We review four areas in which the SKA is expected to make major contributions to our understanding of fundamental physics: cosmic dawn and reionisation; gravity and gravitational radiation; cosmology and dark energy; and dark matter and astroparticle physics. These discussions demonstrate that the SKA will be a spectacular physics machine, which will provide many new breakthroughs and novel insights on matter, energy, and spacetime., A. Racanelli has received funding from the People Programme (Marie Curie Actions) of the European Union H2020 Programme under REA grant agreement number 706896 (COSMOFLAGS). Funding for this work was partially provided by the Spanish MINECO under MDM-2014-0369 of ICCUB (Unidad de Excelencia ‘Maria de Maeztu’).
Published: 2020

32. Learning from the machine: interpreting machine learning algorithms for point- and extended-source classification

Author: Xan Morice-Atkinson, David Bacon, and Ben Hoyle
Subjects: statistics [Stars], Cosmology and Nongalactic Astrophysics (astro-ph.CO), 0206 medical engineering, Decision tree, abundances [Galaxies], FOS: Physical sciences, Feature selection, Context (language use), Astrophysics::Cosmology and Extragalactic Astrophysics, 02 engineering and technology, Machine learning, computer.software_genre, 01 natural sciences, statistics [Galaxies], 0103 physical sciences, Feature (machine learning), Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, STFC, Physics, business.industry, photometric [Techniques], RCUK, Astronomy and Astrophysics, Mutual information, Astrophysics - Astrophysics of Galaxies, Ensemble learning, Visualization, data analysis -methods: statistical [Methods], Tree (data structure), Space and Planetary Science, Physics - Data Analysis, Statistics and Probability, Astrophysics of Galaxies (astro-ph.GA), ST/N000668/1, Artificial intelligence, Astrophysics - Instrumentation and Methods for Astrophysics, business, computer, Algorithm, Data Analysis, Statistics and Probability (physics.data-an), 020602 bioinformatics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We investigate star-galaxy classification for astronomical surveys in the context of four methods enabling the interpretation of black-box machine learning systems. The first is outputting and exploring the decision boundaries as given by decision tree based methods, which enables the visualization of the classification categories. Secondly, we investigate how the Mutual Information based Transductive Feature Selection (MINT) algorithm can be used to perform feature pre-selection. If one would like to provide only a small number of input features to a machine learning classification algorithm, feature pre-selection provides a method to determine which of the many possible input properties should be selected. Third is the use of the tree-interpreter package to enable popular decision tree based ensemble methods to be opened, visualized, and understood. This is done by additional analysis of the tree based model, determining not only which features are important to the model, but how important a feature is for a particular classification given its value. Lastly, we use decision boundaries from the model to revise an already existing method of classification, essentially asking the tree based method where decision boundaries are best placed and defining a new classification method. We showcase these techniques by applying them to the problem of star-galaxy separation using data from the Sloan Digital Sky Survey (hereafter SDSS). We use the output of MINT and the ensemble methods to demonstrate how more complex decision boundaries improve star-galaxy classification accuracy over the standard SDSS frames approach (reducing misclassifications by up to $\approx33\%$). We then show how tree-interpreter can be used to explore how relevant each photometric feature is when making a classification on an object by object basis., Comment: 12 pages, 8 figures, 8 tables
Published: 2018

33. The impact of microlensing on the standardization of strongly lensed Type Ia supernovae

Author: Daniel A. Goldstein, Thomas E. Collett, David Bacon, G. Vernardos, Max Foxley-Marrable, and Astronomy
Subjects: individual: iPTF16geu [supernovae], Astrophysics, gravitational lensing: micro, 01 natural sciences, Einstein radius, law.invention, law, 010303 astronomy & astrophysics, Physics, TIME DELAYS, Astrophysics::Instrumentation and Methods for Astrophysics, gravitational lensing: strong, observations [cosmology], Lens (optics), GALAXIES, Supernova, supernovae: individual: iPTF16geu, strong [gravitational lensing], symbols, astro-ph.CO, Astrophysics::Earth and Planetary Astrophysics, general [supernovae], Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), astro-ph.GA, IMAGES, FOS: Physical sciences, COSMOGRAIL, Large Synoptic Survey Telescope, Astrophysics::Cosmology and Extragalactic Astrophysics, Gravitational microlensing, symbols.namesake, supernovae: general, 0103 physical sciences, cosmological parameters, 010306 general physics, Stellar density, STFC, Astrophysics::Galaxy Astrophysics, RCUK, Astronomy and Astrophysics, PROFILES, Astrophysics - Astrophysics of Galaxies, Galaxy, MODEL, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), cosmology: observations, micro [gravitational lensing], ST/N000668/1, Hubble's law, HUBBLE CONSTANT
Abstract: We investigate the effect of microlensing on the standardisation of strongly lensed Type Ia supernovae (GLSNe Ia). We present predictions for the amount of scatter induced by microlensing across a range of plausible strong lens macromodels. We find that lensed images in regions of low convergence, shear and stellar density are standardisable, where the microlensing scatter is < 0.15 magnitudes, comparable to the intrinsic dispersion of for a typical SN Ia. These standardisable configurations correspond to asymmetric lenses with an image located far outside the Einstein radius of the lens. Symmetric and small Einstein radius lenses (< 0.5 arcsec) are not standardisable. We apply our model to the recently discovered GLSN Ia iPTF16geu and find that the large discrepancy between the observed flux and the macromodel predictions from More et al. (2017) cannot be explained by microlensing alone. Using the mock GLSNe Ia catalogue of Goldstein et al. (2017), we predict that ~ 22% of GLSNe Ia discovered by LSST will be standardisable, with a median Einstein radius of 0.9 arcseconds and a median time-delay of 41 days. By breaking the mass-sheet degeneracy the full LSST GLSNe Ia sample will be able to detect systematics in H0 at the 0.5% level., 11 pages, 8 Figures. Accepted by MNRAS May 17 2018
Published: 2018

34. Reducing Ground-based Astrometric Errors with Gaia and Gaussian Processes

Author: J. Frieman, I. Sevilla-Noarbe, A. E. Evrard, S. Bhargava, J. De Vicente, E. Suchyta, G. Tarle, Maria E. S. Pereira, J. Carretero, Pedro H. Bernardinelli, M. Costanzi, Jochen Weller, David James, A. Roodman, William Wester, Kyler Kuehn, Basilio X. Santiago, P. Doel, Chun-Hao To, L. N. da Costa, Keith Bechtol, A. R. Walker, M. S. Schubnell, V. Scarpine, William G. Hartley, N. P. Kuropatkin, S. Desai, M. Smith, A. A. Plazas, M. Aguena, Alex Drlica-Wagner, Enrique Gaztanaga, J. L. Marshall, M. A. G. Maia, Ricardo L. C. Ogando, M. Jarvis, Ami Choi, I. Ferrero, David Bacon, Tim Eifler, Sahar S. Allam, Stephen M. Kent, D. W. Gerdes, Antonella Palmese, Douglas L. Tucker, T. N. Varga, Robert Morgan, J. Gschwend, K. Eckert, Gary Bernstein, Robert A. Gruendl, Devon L. Hollowood, W. F. Fortino, F. Paz-Chinchón, D. Brooks, Juan Garcia-Bellido, Santiago Serrano, K. Honscheid, Eli S. Rykoff, D. L. Burke, James Annis, G. Gutierrez, Ramon Miquel, J. Myles, Felipe Menanteau, E. J. Sanchez, Samuel Hinton, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, Instituto Nacional de Ciência e Tecnologia (Brasil), Fortino, W. F., Bernstein, G. M., Bernardinelli, P. H., Aguena, M., Allam, S., Annis, J., Bacon, D., Bechtol, K., Bhargava, S., Brooks, D., Burke, D. L., Carretero, J., Choi, A., Costanzi, M., da Costa, L. N., Pereira, M. E. S., De Vicente, J., Desai, S., Doel, P., Drlica-Wagner, A., Eckert, K., Eifler, T. F., Evrard, A. E., Ferrero, I., Frieman, J., Garcia-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hartley, W. G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Jarvis, M., Kent, S., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Myles, J., Ogando, R. L. C., Palmese, A., Paz-Chinchon, F., Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Santiago, B., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Tarle, G., To, C., Tucker, D. L., Varga, T. N., Walker, A. R., Weller, J., and Wester, W.
Subjects: Field (physics), FOS: Physical sciences, Astrometry, Sky noise, Astronomy data analysis, 80, 1463, 1858, Astrophysics - Instrumentation and Methods for Astrophysics, 01 natural sciences, Physics::Geophysics, symbols.namesake, Kriging, Distortion, 0103 physical sciences, Astronometry, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, Gaussian process, Astrophysics::Galaxy Astrophysics, Physics, 05 social sciences, Astrophysics::Instrumentation and Methods for Astrophysics, Astronomy data analysi, 050301 education, Astronomy and Astrophysics, Geodesy, Stars, Space and Planetary Science, Ground-penetrating radar, Orbit (dynamics), symbols, Astrophysics::Earth and Planetary Astrophysics, 0503 education
Abstract: Fortino, W. F., et al. DES Collaboration, Stochastic field distortions caused by atmospheric turbulence are a fundamental limitation to the astrometric accuracy of ground-based imaging. This distortion field is measurable at the locations of stars with accurate positions provided by the Gaia DR2 catalog; we develop the use of Gaussian process regression (GPR) to interpolate the distortion field to arbitrary locations in each exposure. We introduce an extension to standard GPR techniques that exploits the knowledge that the 2D distortion field is curl-free. Applied to several hundred 90 s exposures from the Dark Energy Survey as a test bed, we find that the GPR correction reduces the variance of the turbulent astrometric distortions ≈12× , on average, with better performance in denser regions of the Gaia catalog. The rms per-coordinate distortion in the riz bands is typically ≈7 mas before any correction and ≈2 mas after application of the GPR model. The GPR astrometric corrections are validated by the observation that their use reduces, from 10 to 5 mas rms, the residuals to an orbit fit to riz-band observations over 5 yr of the r = 18.5 trans-Neptunian object Eris. We also propose a GPR method, not yet implemented, for simultaneously estimating the turbulence fields and the 5D stellar solutions in a stack of overlapping exposures, which should yield further turbulence reductions in future deep surveys., The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018- 094773, PGC2018-102021, SEV-2016-0588, SEV-2016- 0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciˆencia e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02- 07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics.
Published: 2021

35. Galaxies in X-ray selected clusters and groups in dark energy survey data – II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function

Author: A. A. Plazas, J. Gschwend, B. Flaugher, E. Suchyta, Martin Sahlén, Chris A. Collins, Matt Hilton, Flavia Sobreira, Daniel Gruen, M. A. G. Maia, Felipe Menanteau, Martin Crocce, Gregory Tarle, Michael Schubnell, Robert G. Mann, D. W. Gerdes, John P. Stott, J. Carretero, G. Gutierrez, K. Honscheid, M. March, Mathew Smith, H. T. Diehl, J. P. Dietrich, David Bacon, Risa H. Wechsler, N. Kuropatkin, C. B. D'Andrea, Eli S. Rykoff, C. J. Miller, P. Rooney, Rituparna Das, A. Benoit-Lévy, David J. James, David J. Brooks, Enrique Gaztanaga, Ramon Miquel, Pablo Fosalba, A. Bermeo, Juan Garcia-Bellido, Julian A. Mayers, A. Carnero Rosell, Francisco J. Castander, Filipe B. Abdalla, M. Carrasco Kind, Robert C. Nichol, J. Song, E. Buckley-Geer, C. Vergara Cervantes, Marcos Lima, Alistair R. Walker, Marcelle Soares-Santos, I. Sevilla-Noarbe, L. N. da Costa, R. L. C. Ogando, C. Hennig, M. E. C. Swanson, Timothy A. McKay, Yanxi Zhang, Tim Eifler, H. Wilcox, Jennifer L. Marshall, Ben Hoyle, Nicola Mehrtens, Peter Melchior, Kyler Kuehn, A. K. Romer, Andrew R. Liddle, Sarah Bridle, Carlos E. Cunha, Pedro T. P. Viana, T. M. C. Abbott, E. J. Sanchez, Scott T. Kay, Han Lin, D. L. Burke, S. Allam, Robert A. Gruendl, Tesla E. Jeltema, C. J. Conselice, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Evolution, Astrophysics::High Energy Astrophysical Phenomena, astro-ph.GA, General – galaxies, Bayesian probability, AST-1138766, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Clusters, Astronomi, astrofysik och kosmologi, 0103 physical sciences, Cluster (physics), Astrophysics::Solar and Stellar Astrophysics, Astronomy, Astrophysics and Cosmology, clusters: general [galaxies], AST-1536171, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, QC, evolution [galaxies], STFC, Luminosity function (astronomy), QB, Physics, Sequence, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Function (mathematics), Galaxies, Astrophysics - Astrophysics of Galaxies, Galaxy, Space and Planetary Science, galaxies: clusters: general, Astrophysics of Galaxies (astro-ph.GA), Dark energy, astro-ph.CO, Survey data collection, galaxies: evolution, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Using $\sim 100$ X-ray selected clusters in the Dark Energy Survey Science Verification data, we constrain the luminosity function (LF) of cluster red sequence galaxies as a function of redshift. This is the first homogeneous optical/X-ray sample large enough to constrain the evolution of the luminosity function simultaneously in redshift ($0.1, Comment: Updated to match the accepted version
Published: 2019

36. A Detection of CMB-Cluster Lensing using Polarization Data from SPTpol

Author: Benjamin Saliwanchik, C. L. Chang, V. G. Yefremenko, Sebastian Bocquet, C. Corbett Moran, Devon L. Hollowood, J. A. Beall, N. Huang, Jessica Avva, A. E. Lowitz, Adrian T. Lee, Lloyd Knox, Peter A. R. Ade, Nikhel Gupta, J. E. Ruhl, Yanxi Zhang, Pablo Fosalba, Stephen Padin, Marcelle Soares-Santos, J. D. Hrubes, G. Gutierrez, Elizabeth George, Tesla E. Jeltema, Joseph J. Mohr, K. Vanderlinde, Gene C. Hilton, A. Roodman, Tommaso Giannantonio, K. T. Story, Valentine Novosad, Srinivasan Raghunathan, David Brooks, M. E. C. Swanson, H. C. Chiang, Robert I. Citron, Bradford Benson, Gensheng Wang, Jason Gallicchio, N. W. Halverson, Antony A. Stark, Chang Feng, T. Natoli, G. P. Holder, T. Veach, A. A. Plazas, M. Costanzi, C. Sievers, Shantanu Desai, Michael Schubnell, Jason W. Henning, D. L. Burke, Dale Li, Carole Tucker, Mathew Smith, Christian L. Reichardt, B. Flaugher, Jason E. Austermann, Ramon Miquel, S. S. Meyer, M. A. G. Maia, N. L. Harrington, John E. Carlstrom, Matt Dobbs, Peter Melchior, S. Allam, Robert A. Gruendl, L. M. Mocanu, G. I. Noble, Joaquin Vieira, Federico Bianchini, Graeme Smecher, J. P. Dietrich, Nathan Whitehorn, I. Sevilla-Noarbe, Juan Garcia-Bellido, T. McClintock, N. Kuropatkin, Eduardo Rozo, J. De Vicente, T. M. Crawford, Peter Doel, J. T. Sayre, T. N. Varga, E. Suchyta, August E. Evrard, Amy N. Bender, L. N. da Costa, A. K. Romer, H. T. Diehl, Felipe Menanteau, David Bacon, W. L. K. Wu, J. Carretero, K. K. Schaffer, Jennifer L. Marshall, M. Carrasco Kind, Joshua Montgomery, Johannes Hubmayr, Gregory Tarle, J. Gschwend, Joshua A. Frieman, David Rapetti, A. J. Gilbert, S. Serrano, Adam Anderson, Enrique Gaztanaga, Jeff McMahon, K. Honscheid, Eli S. Rykoff, Eric J. Baxter, Vinu Vikram, R. L. C. Ogando, Marcos Lima, T. de Haan, V. Scarpine, S. Patil, John P. Nibarger, Andrew Nadolski, A. Carnero Rosell, Kent D. Irwin, W. L. Holzapfel, Ofer Lahav, S. Everett, C. Pryke, Lindsey Bleem, F. J. Castander, E. J. Sanchez, Santiago Avila, A. T. Crites, Raghunathan, S., Patil, S., Baxter, E., Benson, B. A., Bleem, L. E., Crawford, T. M., Holder, G. P., Mcclintock, T., Reichardt, C. L., Varga, T. N., Whitehorn, N., Ade, P. A. R., Allam, S., Anderson, A. J., Austermann, J. E., Avila, S., Avva, J. S., Bacon, D., Beall, J. A., Bender, A. N., Bianchini, F., Bocquet, S., Brooks, D., Burke, D. L., Carlstrom, J. E., Carretero, J., Castander, F. J., Chang, C. L., Chiang, H. C., Citron, R., Costanzi, M., Crites, A. T., Da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Dobbs, M. A., Doel, P., Everett, S., Evrard, A. E., Feng, C., Flaugher, B., Fosalba, P., Frieman, J., Gallicchio, J., Garcia-Bellido, J., Gaztanaga, E., George, E. M., Giannantonio, T., Gilbert, A., Gruendl, R. A., Gschwend, J., Gupta, N., Gutierrez, G., De Haan, T., Halverson, N. W., Harrington, N., Henning, J. W., Hilton, G. C., Hollowood, D. L., Holzapfel, W. L., Honscheid, K., Hrubes, J. D., Huang, N., Hubmayr, J., Irwin, K. D., Jeltema, T., Kind, M. C., Knox, L., Kuropatkin, N., Lahav, O., Lee, A. T., Li, D., Lima, M., Lowitz, A., Maia, M. A. G., Marshall, J. L., Mcmahon, J. J., Melchior, P., Menanteau, F., Meyer, S. S., Miquel, R., Mocanu, L. M., Mohr, J. J., Montgomery, J., Moran, C. C., Nadolski, A., Natoli, T., Nibarger, J. P., Noble, G., Novosad, V., Ogando, R. L. C., Padin, S., Plazas, A. A., Pryke, C., Rapetti, D., Romer, A. K., Roodman, A., Rosell, A. C., Rozo, E., Ruhl, J. E., Rykoff, E. S., Saliwanchik, B. R., Sanchez, E., Sayre, J. T., Scarpine, V., Schaffer, K. K., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sievers, C., Smecher, G., Smith, M., Soares-Santos, M., Stark, A. A., Story, K. T., Suchyta, E., Swanson, M. E. C., Tarle, G., Tucker, C., Vanderlinde, K., Veach, T., De Vicente, J., Vieira, J. D., Vikram, V., Wang, G., W. L. K., Wu, Yefremenko, V., and Zhang, Y.
Subjects: Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cosmic microwave background, Cosmic microwave background Gravitational lenses Galaxy Clusters, Astrophysics::Instrumentation and Methods for Astrophysics, FOS: Physical sciences, RCUK, General Physics and Astronomy, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Polarization (waves), 01 natural sciences, Cosmology, Gravitational lens, 0103 physical sciences, astro-ph.CO, Dark energy, Cluster (physics), 010306 general physics, STFC, Galaxy cluster, Weak gravitational lensing, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We report the first detection of gravitational lensing due to galaxy clusters using only the polarization of the cosmic microwave background (CMB). The lensing signal is obtained using a new estimator that extracts the lensing dipole signature from stacked images formed by rotating the cluster-centered Stokes $Q/U$ map cutouts along the direction of the locally measured background CMB polarization gradient. Using data from the SPTpol 500 deg$^{2}$ survey at the locations of roughly 18,000 clusters with richness $\lambda \ge 10$ from the Dark Energy Survey (DES) Year-3 full galaxy cluster catalog, we detect lensing at $4.8\sigma$. The mean stacked mass of the selected sample is found to be $(1.43 \pm 0.4)\ \times 10^{14}\ {\rm M_{\odot}}$ which is in good agreement with optical weak lensing based estimates using DES data and CMB-lensing based estimates using SPTpol temperature data. This measurement is a key first step for cluster cosmology with future low-noise CMB surveys, like CMB-S4, for which CMB polarization will be the primary channel for cluster lensing measurements., Comment: 10 pages, 3 figures, 1 table; typos fixed; accepted for publication in PRL
Published: 2019

37. Cosmological Constraints from Multiple Probes in the Dark Energy Survey

Author: Eric H. Neilsen, Martin Crocce, A. Carnero Rosell, J. Carretero, Tamara M. Davis, Martin Becker, J. P. Dietrich, J. Gschwend, Richard G. McMahon, J. DeRose, L. F. Secco, D. J. Brout, Darren L. DePoy, W. G. Hartley, F. J. Castander, Richard G. Kron, P. Andersen, Lluís Galbany, A. Roodman, Tommaso Giannantonio, C. Davis, Gary Bernstein, Daniel Gruen, S. A. Uddin, Ofer Lahav, J. Lasker, Elisabeth Krause, J. Muir, Enrique Gaztanaga, N. E. Sommer, Rob Sharp, D. L. Hollowood, Risa H. Wechsler, D. W. Gerdes, A. G. Kim, V. Scarpine, S. Serrano, Richard Kessler, A. Campos, Eli S. Rykoff, Erin Sheldon, David Brooks, D. L. Burke, Geraint F. Lewis, David Goldstein, Carlos Solans Sanchez, Bonnie Zhang, Alex Drlica-Wagner, Marcos Lima, I. Sevilla-Noarbe, H. T. Diehl, P. Martini, M. Gatti, David Bacon, J. Calcino, David J. James, Joseph J. Mohr, J. Prat, Samuel Hinton, Bruce A. Bassett, J. P. Marriner, M. Carrasco Kind, Eric J. Baxter, G. Gutierrez, Dragan Huterer, Niall MacCrann, M. H.L.S. Wang, Bhuvnesh Jain, B. Flaugher, F. Andrade-Oliveira, Alistair R. Walker, Robert C. Nichol, Joe Zuntz, S. Kent, Pablo Fosalba, S. Allam, Ryan J. Foley, Robert A. Gruendl, Anais Möller, N. Kokron, E. Bertin, R. Cawthon, Ramon Miquel, Ashley J. Ross, Juan Estrada, M. S. Schubnell, P. Doel, Marcelle Soares-Santos, J. Annis, H. Camacho, Will J. Percival, N. Weaverdyck, A. Porredon, Karl Glazebrook, Enrique Fernández, Juan Garcia-Bellido, P. Challis, Huan Lin, Daniela Carollo, Jennifer L. Marshall, Brad E. Tucker, K. Honscheid, Brian Yanny, Shantanu Desai, N. Kuropatkin, E. Kasai, Rafe Schindler, Mathew Smith, A. Alarcon, M. Childress, C. Lidman, Felipe Menanteau, Daniel Scolnic, Gregory Tarle, L. N. da Costa, Tesla E. Jeltema, August E. Evrard, E. Swann, K. C. Chan, J. De Vicente, P. Lemos, Daniel Thomas, Brian Nord, Flavia Sobreira, Michael Troxel, Joshua A. Frieman, M. March, M. E. C. Swanson, Matt J. Jarvis, Kyler Kuehn, P. Vielzeuf, Yanxi Zhang, Tim Eifler, Keith Bechtol, Antonella Palmese, Rogerio Rosenfeld, M. A. G. Maia, J. K. Hoormann, Ricardo L. C. Ogando, Ben Hoyle, A. A. Plazas, A. K. Romer, C. B. D'Andrea, Edward Macaulay, Jack Elvin-Poole, S. Samuroff, R. C. Thomas, Eric Morganson, Jacobo Asorey, Yen-Chen Pan, Peter Melchior, N. Banik, Jonathan Blazek, Tenglin Li, Sarah Bridle, Scott Dodelson, Santiago Avila, Chihway Chang, Carlos E. Cunha, Jochen Weller, T. M. C. Abbott, Hiranya V. Peiris, E. J. Sanchez, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, National Optical Astronomy Observatory, Institut d'Estudis Espacials de Catalunya (IEEC), Institute of Space Sciences (ICE CSIC), Fermi National Accelerator Laboratory, University of Queensland, Dark Cosmology Centre, Universidade Estadual Paulista (UNESP), Laboratório Interinstitucional de E-Astronomia - LIneA, Korea Astronomy and Space Science Institute, University of Portsmouth, African Institute for Mathematical Sciences, South African Astronomical Observatory, University of Pennsylvania, LSST, University of Wisconsin-Madison, Argonne National Laboratory, Institut d'Astrophysique de Paris, Ohio State University, Observatoire de Sauverny, University of Manchester, University College London, Stanford University, SLAC National Accelerator Laboratory, Universidade de São Paulo (USP), Carnegie Mellon University, Medioambientales y Tecnológicas (CIEMAT), Astrophysical Observatory of Turin, University of Illinois at Urbana-Champaign, National Center for Supercomputing Applications, Barcelona Institute of Science and Technology, Harvard-Smithsonian Center for Astrophysics, University of Chicago, University of Southampton, Observatório Nacional, Texas A and M University, 382 Via Pueblo Mall, IIT Hyderabad, Excellence Cluster Universe, Ludwig-Maximilians-Universität, Steward Observatory, California Institute of Technology, University of Michigan, Santa Cruz Institute for Particle Physics, University of Pittsburgh, Universidad Autonoma de Madrid, University of Cambridge, Ludwig-Maximilians Universität München, Swinburne University of Technology, ETH Zurich, Max Planck Institute for Extraterrestrial Physics, University of Namibia, Lawrence Berkeley National Laboratory, Macquarie University, University of Sydney, Australian National University, Peyton Hall, Institució Catalana de Recerca i Estudis Avançats, ARC Centre of Excellence for All-sky Astrophysics (CAASTRO), National Astronomical Observatory of Japan, Academia Sinica, University of Waterloo, Perimeter Institute for Theoretical Physics, University of Sussex, Brookhaven National Laboratory, Physics Department, Universidade Estadual de Campinas (UNICAMP), Duke University, Observatories of the Carnegie Institution for Science, University of Edinburgh, Natl Opt Astron Observ, IEEC, CSIC, Fermilab Natl Accelerator Lab, Univ Queensland, Univ Copenhagen, Universidade Estadual Paulista (Unesp), Lab Interinst E Astron LIneA, Korea Astron & Space Sci Inst, Univ Portsmouth, African Inst Math Sci, South African Astron Observ, Univ Penn, Univ Wisconsin, Argonne Natl Lab, CNRS, UPMC Univ Paris 06, Ohio State Univ, Ecole Polytech Fed Lausanne, Univ Manchester, UCL, Stanford Univ, SLAC Natl Accelerator Lab, Carnegie Mellon Univ, Ctr Invest Energet Medioambientales & Tecnol CIEM, Astrophys Observ Turin, Univ Illinois, Natl Ctr Supercomp Applicat, Barcelona Inst Sci & Technol, Harvard Smithsonian Ctr Astrophys, Univ Chicago, Univ Southampton, Observ Nacl, Texas A&M Univ, Ludwig Maximilians Univ Munchen, Steward Observ, CALTECH, Univ Michigan, Santa Cruz Inst Particle Phys, Univ Pittsburgh, Univ Autonoma Madrid, Univ Cambridge, Swinburne Univ Technol, Swiss Fed Inst Technol, Max Planck Inst Extraterr Phys, Univ Namibia, Lawrence Berkeley Natl Lab, Macquarie Univ, Univ Sydney, Australian Natl Univ, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, ARC Ctr Excellence All Sky Astrophys CAASTRO, Natl Astron Observ Japan, Acad Sinica, Univ Waterloo, Perimeter Inst Theoret Phys, Univ Sussex, Brookhaven Natl Lab, Brandeis Univ, Duke Univ, Observ Carnegie Inst Sci, and Univ Edinburgh
Subjects: bao, Cosmology and Nongalactic Astrophysics (astro-ph.CO), MATÉRIA ESCURA, media_common.quotation_subject, Cosmic microwave background, Dark matter, FOS: Physical sciences, General Physics and Astronomy, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, des, Gravitation and Astrophysics, 7. Clean energy, 01 natural sciences, Cosmology, supernova, galaxies, 0103 physical sciences, redshift distributions, 010306 general physics, QC, STFC, Weak gravitational lensing, media_common, Physics, Equation of state (cosmology), RCUK, Shape of the universe, Universe, 13. Climate action, astro-ph.CO, Dark energy, baryon acoustic-oscillations, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], sdss, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The combination of multiple observational probes has long been advocated as a powerful technique to constrain cosmological parameters, in particular dark energy. The Dark Energy Survey has measured 207 spectroscopically--confirmed Type Ia supernova lightcurves; the baryon acoustic oscillation feature; weak gravitational lensing; and galaxy clustering. Here we present combined results from these probes, deriving constraints on the equation of state, $w$, of dark energy and its energy density in the Universe. Independently of other experiments, such as those that measure the cosmic microwave background, the probes from this single photometric survey rule out a Universe with no dark energy, finding $w=-0.80^{+0.09}_{-0.11}$. The geometry is shown to be consistent with a spatially flat Universe, and we obtain a constraint on the baryon density of $\Omega_b=0.069^{+0.009}_{-0.012}$ that is independent of early Universe measurements. These results demonstrate the potential power of large multi-probe photometric surveys and pave the way for order of magnitude advances in our constraints on properties of dark energy and cosmology over the next decade., Comment: 8 pages, 2 figures; v3 matches version accepted by PRL
Published: 2019

38. The LOFAR Two-metre Sky Survey. II. First data release

Author: Eskil Varenius, Huub Röttgering, Magdalena Kunert-Bajraszewska, Ricardo Genova-Santos, Judith H. Croston, D. Nisbet, R. Lakhoo, R. Kondapally, F. Savini, Joseph R. Callingham, A. O. Clarke, H. R. Stacey, M. H. D. van der Wiel, Isabella Prandoni, Antonia Rowlinson, R. Pizzo, Gianfranco Brunetti, David Bacon, George K. Miley, Marcus Brüggen, L. Alegre, R.-J. Dettmar, C. Dumba, R. J. van Weeren, Volker Heesen, Stephen Bourke, G. Calistro Rivera, A. Botteon, J. Sabater, M. Mirmont, G. Gürkan, Andrea Merloni, Torsten A. Enßlin, Marek Jamrozy, Philip Best, A. Drabent, Marcellin Atemkeng, Glenn J. White, R. C. Vermeulen, Wolfgang Reich, Neal Jackson, Chiara Ferrari, Marco Iacobelli, Huib Intema, J. B. R. Oonk, D. N. Hoang, John Conway, A. Wilber, Marisa Brienza, T. J. Dijkema, B. Webster, M. A. Garrett, Simon Perkins, A. P. Mechev, Shane O'Sullivan, Christopher J. Conselice, I. van Bemmel, Annalisa Bonafede, Oleg Smirnov, John L. Quinn, John McKean, G. Kokotanekov, Subhash C. Mandal, Daniel J. Smith, C. L. Hale, Arti Goyal, Błażej Nikiel-Wroczyński, K. L. Emig, S. Urquhart, Marijke Haverkorn, Timothy W. Shimwell, R. Morganti, Michael W. Wise, Elizabeth K. Mahony, Beatriz Mingo, Arpad Miskolczi, C. A. Jackson, Leah K. Morabito, D. A. Rafferty, A. Saxena, C. Roskowinski, Rachel Cochrane, C. Schrijvers, M. Mevius, Wendy L. Williams, E. Bonnassieux, Rossella Cassano, Matthias Hoeft, Krzysztof T. Chyzy, Dominik J. Schwarz, B. Hugo, Robert Beswick, George Heald, C. Tasse, S. Mooney, Jeremy J. Harwood, Emanuela Orru, Martin J. Hardcastle, Kenneth Duncan, S. S. Sridhar, Cathy Horellou, Matt J. Jarvis, L. Bester, F. de Gasperin, Aleksandar Shulevski, A. Danezi, V. H. Mahatma, Galaxies, Etoiles, Physique, Instrumentation (GEPI), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, PSL Research University (PSL)-PSL Research University (PSL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Joseph Louis LAGRANGE (LAGRANGE), Université Nice Sophia Antipolis (... - 2019) (UNS), Université Côte d'Azur (UCA)-Université Côte d'Azur (UCA)-Observatoire de la Côte d'Azur, Université Côte d'Azur (UCA)-Centre National de la Recherche Scientifique (CNRS), Astronomy, Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Observatoire de la Côte d'Azur, COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Shimwell T.W., Tasse C., Hardcastle M.J., Mechev A.P., Williams W.L., Best P.N., Rottgering H.J.A., Callingham J.R., Dijkema T.J., De Gasperin F., Hoang D.N., Hugo B., Mirmont M., Oonk J.B.R., Prandoni I., Rafferty D., Sabater J., Smirnov O., Van Weeren R.J., White G.J., Atemkeng M., Bester L., Bonnassieux E., Bruggen M., Brunetti G., Chy K.T., Cochrane R., Conway J.E., Croston J.H., Danezi A., Duncan K., Haverkorn M., Heald G.H., Iacobelli M., Intema H.T., Jackson N., Jamrozy M., Jarvis M.J., Lakhoo R., Mevius M., Miley G.K., Morabito L., Morganti R., Nisbet D., Orru E., Perkins S., Pizzo R.F., Schrijvers C., Smith D.J.B., Vermeulen R., Wise M.W., Alegre L., Bacon D.J., Van Bemmel I.M., Beswick R.J., Bonafede A., Botteon A., Bourke S., Brienza M., Calistro Rivera G., Cassano R., Clarke A.O., Conselice C.J., Dettmar R.J., Drabent A., Dumba C., Emig K.L., Ensslin T.A., Ferrari C., Garrett M.A., Genova-Santos R.T., Goyal A., Gurkan G., Hale C., Harwood J.J., Heesen V., Hoeft M., Horellou C., Jackson C., Kokotanekov G., Kondapally R., Kunert-Bajraszewska M., Mahatma V., Mahony E.K., Mandal S., McKean J.P., Merloni A., Mingo B., Miskolczi A., Mooney S., Nikiel-Wroczynski B., O'Sullivan S.P., Quinn J., Reich W., Roskowinski C., Rowlinson A., Savini F., Saxena A., Schwarz D.J., Shulevski A., Sridhar S.S., Stacey H.R., Urquhart S., Van Der Wiel M.H.D., Varenius E., Webster B., and Wilber A.
Subjects: Astronomy, radio continuum: general, Flux, techniques: image processing, Astrophysics, 01 natural sciences, CLUSTER ENVIRONMENTS, ST/M001229/1, Survey, 010303 astronomy & astrophysics, SOUTHERN SKY, media_common, astro-ph.HE, Physics, CALIBRATION, High Energy Astrophysical Phenomena (astro-ph.HE), image processing [techniques], UNDERSTANDING RADIO POLARIMETRY, ST/R00109X/1, ST/P000096/1, astro-ph.CO, general [radio continuum], Catalog, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Noise (radio), Astrophysics - Cosmology and Nongalactic Astrophysics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), astro-ph.GA, media_common.quotation_subject, FOS: Physical sciences, Declination, surveys, 0103 physical sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], AGN, Instrumentation and Methods for Astrophysics (astro-ph.IM), STFC, ST/M001326/1, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, LOFAR, Astrophysics - Astrophysics of Galaxies, Galaxy, Redshift, GALAXY, ST/M001008/1, Space and Planetary Science, Sky, IMAGING SURVEY, DISCOVERY, Astrophysics of Galaxies (astro-ph.GA), FLUX-DENSITY SCALE, Right ascension, EMISSION, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], catalogs, astro-ph.IM
Abstract: The LOFAR Two-metre Sky Survey (LoTSS) is an ongoing sensitive, high-resolution 120-168MHz survey of the entire northern sky for which observations are now 20% complete. We present our first full-quality public data release. For this data release 424 square degrees, or 2% of the eventual coverage, in the region of the HETDEX Spring Field (right ascension 10h45m00s to 15h30m00s and declination 45$^\circ$00$'$00$''$ to 57$^\circ$00$'$00$''$) were mapped using a fully automated direction-dependent calibration and imaging pipeline that we developed. A total of 325,694 sources are detected with a signal of at least five times the noise, and the source density is a factor of $\sim 10$ higher than the most sensitive existing very wide-area radio-continuum surveys. The median sensitivity is S$_{\rm 144 MHz} = 71\,\mu$Jy beam$^{-1}$ and the point-source completeness is 90% at an integrated flux density of 0.45mJy. The resolution of the images is 6$''$ and the positional accuracy is within 0.2$''$. This data release consists of a catalogue containing location, flux, and shape estimates together with 58 mosaic images that cover the catalogued area. In this paper we provide an overview of the data release with a focus on the processing of the LOFAR data and the characteristics of the resulting images. In two accompanying papers we provide the radio source associations and deblending and, where possible, the optical identifications of the radio sources together with the photometric redshifts and properties of the host galaxies. These data release papers are published together with a further $\sim$20 articles that highlight the scientific potential of LoTSS., Comment: 16 figures, 1 table and 22 pages. This paper is part of the LOFAR surveys data release 1 and has been accepted for publication in a special edition of A&A that will appear in Feb 2019, volume 622. The catalogues and images from the data release will be publicly available on lofar-surveys.org upon publication of the journal
Published: 2019

39. Testing Emergent Gravity on Galaxy Cluster Scales

Author: David Bacon, Andrius Tamosiunas, Robert C. Nichol, and Kazuya Koyama
Subjects: Gravity (chemistry), Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cold dark matter, gr-qc, Dark matter, FOS: Physical sciences, General Relativity and Quantum Cosmology (gr-qc), Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, General Relativity and Quantum Cosmology, Gravitation, 0103 physical sciences, galaxy clusters, Coma Cluster, modified gravity, STFC, Galaxy cluster, Weak gravitational lensing, Physics, dark matter theory, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Galaxy, gravity, astro-ph.CO, ST/N000668/1, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Verlinde's theory of Emergent Gravity (EG) describes gravity as an emergent phenomenon rather than a fundamental force. Applying this reasoning in de Sitter space leads to gravity behaving differently on galaxy and galaxy cluster scales; this excess gravity might offer an alternative to dark matter. Here we test these ideas using the data from the Coma cluster and from 58 stacked galaxy clusters. The X-ray surface brightness measurements of the clusters at $0.1 < z < 1.2$ along with the weak lensing data are used to test the theory. We find that the simultaneous EG fits of the X-ray and weak lensing datasets are significantly worse than those provided by General Relativity (with cold dark matter). For the Coma cluster, the predictions from Emergent Gravity and General Relativity agree in the range of 250 - 700 kpc, while at around 1 Mpc scales, EG total mass predictions are larger by a factor of 2. For the cluster stack the predictions are only in good agreement at around the 1 - 2 Mpc scales, while for $r \gtrsim 10$ Mpc EG is in strong tension with the data. According to the Bayesian information criterion analysis, GR is preferred in all tested datasets; however, we also discuss possible modifications of EG that greatly relax the tension with the data., 19 pages, 5 figures, 5 tables, accepted for publication on JCAP
Published: 2019

40. Rediscovery of the Sixth Star Cluster in the Fornax Dwarf Spheroidal Galaxy

Author: David J. James, Sergey E. Koposov, Pablo Fosalba, E. Suchyta, D. L. Burke, Joshua A. Frieman, Mei-Yu Wang, D. L. Hollowood, Keith Bechtol, Juan Garcia-Bellido, M. E. C. Swanson, A. Carnero Rosell, A. A. Plazas, Shantanu Desai, Alex Drlica-Wagner, Alistair R. Walker, G. Gutierrez, H. T. Diehl, N. Kuropatkin, David Bacon, David Brooks, Robert A. Gruendl, Andrew B. Pace, L. N. da Costa, V. Scarpine, J. Annis, Rafe Schindler, Vasily Belokurov, T. J. L. de Boer, Felipe Menanteau, S. Kent, M. Carrasco Kind, Ben Hoyle, Gregory Tarle, J. De Vicente, Jennifer L. Marshall, Adriano Pieres, M. Smith, R. C. Smith, Flavia Sobreira, Daniel Gruen, E. Bertin, Daniel Thomas, E. Buckley-Geer, K. Honscheid, M. A. G. Maia, Basilio X. Santiago, J. Gschwend, D. W. Gerdes, Douglas L. Tucker, Kyler Kuehn, Ramon Miquel, P. Doel, S. Serrano, Juan Estrada, J. Carretero, Michael Schubnell, I. Sevilla-Noarbe, B. Flaugher, Tenglin Li, T. M. C. Abbott, E. J. Sanchez, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Physics, 010308 nuclear & particles physics, astro-ph.GA, RCUK, FOS: Physical sciences, Astronomy, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, 01 natural sciences, Dwarf spheroidal galaxy, Star cluster, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), 0103 physical sciences, galaxies: star clusters: general, Astrophysics::Solar and Stellar Astrophysics, Astrophysics::Earth and Planetary Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, STFC, Astrophysics::Galaxy Astrophysics
Abstract: Since first noticed by Shapley in 1939, a faint object coincident with the Fornax dwarf spheroidal has long been discussed as a possible sixth globular cluster system. However, debate has continued over whether this overdensity is a statistical artifact or a blended galaxy group. In this Letter we demonstrate, using deep DECam imaging data, that this object is well resolved into stars and is a bona fide star cluster. The stellar overdensity of this cluster is statistically significant at the level of ~ 6 - 6.7 sigma in several different photometric catalogs including Gaia. Therefore, it is highly unlikely to be caused by random fluctuation. We show that Fornax 6 is a star cluster with a peculiarly low surface brightness and irregular shape, which may indicate a strong tidal influence from its host galaxy. The Hess diagram of Fornax 6 is largely consistent with that of Fornax field stars, but it appears to be slightly bluer. However, it is still likely more metal-rich than most of the globular clusters in the system. Faint clusters like Fornax 6 that orbit and potentially get disrupted in the centers of dwarf galaxies can prove crucial for constraining the dark matter distribution in Milky Way satellites., Comment: 6 pages, 4 figures, 1 table, submitted to ApJL
Published: 2019

41. Search for strongly lensed counterpart images of binary black hole mergers in the first two LIGO observing runs

Author: C. McIsaac, Simone Mozzon, I. W. Harry, David Keitel, Thomas E. Collett, O. Edy, and David Bacon
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), gr-qc, Strong gravitational lensing, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, General Relativity and Quantum Cosmology (gr-qc), Type (model theory), 01 natural sciences, General Relativity and Quantum Cosmology, Binary black hole, 0103 physical sciences, 010303 astronomy & astrophysics, STFC, Physics, astro-ph.HE, High Energy Astrophysical Phenomena (astro-ph.HE), 010308 nuclear & particles physics, ST/I006285/1, RCUK, ST/T000333/1, LIGO, Redshift, astro-ph.CO, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Strong gravitational lensing can produce multiple images of the same gravitational-wave signal, each arriving at different times and with different magnification. Previous work has explored if lensed pairs exist among the known high-significance events and found no evidence of this. However, the possibility remains that weaker counterparts of these events are present in the data, unrecovered by previous searches. We conduct a targeted search specifically looking for sub-threshold lensed images of known binary black hole (BBH) observations. We recover candidates matching three of the additional events first reported by Venumadhav et al. (2019), but find no evidence for additional BBH events. We also find no evidence that any of the Venumadhav et al. observations are lensed counterparts. We demonstrate how this type of counterpart search can constrain hypotheses about the overall source and lens populations and we rule out at very high confidence the extreme hypothesis that all heavy BBH detections are in fact lensed systems at high redshift with intrinsic masses < 15Msun., 16 pages. Comments welcome. Data release: https://github.com/icg-gravwaves/lensed-o1-o2-data-release. Version accepted for publication in PRD. Supplement merged into main paper following PRD style. Various updates/improvements during review process. Typos corrected
Published: 2019
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42. Cosmological lensing ratios with DES Y1, SPT and Planck

Author: M. A. G. Maia, Shantanu Desai, C. L. Chang, J. D. Hrubes, J. De Vicente, Erik Shirokoff, Antony A. Stark, A. Alarcon, H. T. Diehl, Erin Sheldon, David Brooks, David Bacon, M. E. C. Swanson, Andrina Nicola, Alistair R. Walker, Markus Rau, Marcelle Soares-Santos, T. Natoli, N. W. Halverson, Niall MacCrann, Y. Omori, J. E. Ruhl, Flavia Sobreira, David J. James, H-M. Cho, Pablo Fosalba, K. Vanderlinde, Marcos Lima, Kyler Kuehn, Ben Hoyle, Joseph J. Mohr, M. A. Dobbs, E. Suchyta, E. M. Leitch, O. Friedrich, M. Smith, Adrian T. Lee, Lloyd Knox, Daniel Gruen, Vinu Vikram, August E. Evrard, Jennifer L. Marshall, Filipe B. Abdalla, M. Gatti, Richard G. Kron, J. Prat, J. P. Dietrich, Juan Garcia-Bellido, I. Sevilla-Noarbe, S. S. Meyer, Peter Melchior, R. Cawthon, K. T. Story, N. L. Harrington, Robert A. Gruendl, G. Gutierrez, C. Pryke, B. Flaugher, L. M. Mocanu, G. Simard, D. W. Gerdes, Tesla E. Jeltema, G. P. Holder, Daniel Thomas, Bhuvnesh Jain, Michael Troxel, Christian L. Reichardt, J. Carretero, Matt J. Jarvis, T. de Haan, Z. Hou, P. Vielzeuf, Bradford Benson, Tim Eifler, V. Scarpine, T. M. Crawford, J. Annis, C. J. Miller, Daniel P. Marrone, E. Bertin, R. Williamson, C. Davis, N. Kuropatkin, J. T. Sayre, M. Carrasco Kind, L. N. da Costa, R. Chown, A. Pujol, Ofer Lahav, K. Aylor, K. K. Schaffer, J. Gschwend, Gary Bernstein, A. K. Romer, D. Luong-Van, W. B. Everett, Enrique Gaztanaga, Elisabeth Krause, Ramon Miquel, P. Doel, S. Serrano, Jochen Weller, W. L. Holzapfel, C. Sánchez, T. M. C. Abbott, E. J. Sanchez, Scott Dodelson, Santiago Avila, Chihway Chang, Carlos E. Cunha, A. T. Crites, Joe Zuntz, B. Mawdsley, Lindsey Bleem, A. Manzotti, Z. K. Staniszewski, W. G. Hartley, S. Samuroff, T. Shin, Stephen Padin, A. Roodman, Tommaso Giannantonio, Felipe Menanteau, A. A. Plazas, Oliver Zahn, Gregory Tarle, Joaquin Vieira, Eli S. Rykoff, D. L. Burke, John E. Carlstrom, Eric J. Baxter, Jeff McMahon, K. Honscheid, Elizabeth George, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, and SPT
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cosmic microwave background, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, symbols.namesake, gravitational lensing: weak, 0103 physical sciences, LENTES GRAVITACIONAIS, Planck, cosmological parameters, 010303 astronomy & astrophysics, QC, Photometric redshift, Physics, 010308 nuclear & particles physics, Matter power spectrum, Astronomy and Astrophysics, Galaxy, South Pole Telescope, Gravitational lens, Space and Planetary Science, cosmology: observations, Dark energy, symbols, astro-ph.CO, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Correlations between tracers of the matter density field and gravitational lensing are sensitive to the evolution of the matter power spectrum and the expansion rate across cosmic time. Appropriately defined ratios of such correlation functions, on the other hand, depend only on the angular diameter distances to the tracer objects and to the gravitational lensing source planes. Because of their simple cosmological dependence, such ratios can exploit available signal-to-noise down to small angular scales, even where directly modeling the correlation functions is difficult. We present a measurement of lensing ratios using galaxy position and lensing data from the Dark Energy Survey, and CMB lensing data from the South Pole Telescope and Planck, obtaining the highest precision lensing ratio measurements to date. Relative to the concordance $\Lambda$CDM model, we find a best fit lensing ratio amplitude of $A = 1.1 \pm 0.1$. We use the ratio measurements to generate cosmological constraints, focusing on the curvature parameter. We demonstrate that photometrically selected galaxies can be used to measure lensing ratios, and argue that future lensing ratio measurements with data from a combination of LSST and Stage-4 CMB experiments can be used to place interesting cosmological constraints, even after considering the systematic uncertainties associated with photometric redshift and galaxy shear estimation., Comment: 17 pages, 11 figures
Published: 2019

43. A map-based method for eliminating systematic modes from galaxy clustering power spectra with application to BOSS

Author: Lado Samushia, B. Kalus, David Bacon, Will J. Percival, Eva-Maria Mueller, Ashley J. Ross, Licia Verde, and José Luis Bernal
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Sample (material), FOS: Physical sciences, Scale (descriptive set theory), Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Halos (Meteorologia), symbols.namesake, 0103 physical sciences, Planck, Cluster analysis, 010303 astronomy & astrophysics, STFC, Physics, Halos (Meteorology), 010308 nuclear & particles physics, Spectral density, RCUK, Astronomy and Astrophysics, Galaxies, Galaxy, Weighting, Galàxies, Boss, Space and Planetary Science, symbols, astro-ph.CO, ST/N000668/1, Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We develop a practical methodology to remove modes from a galaxy survey power spectrum that are associated with systematic errors. We apply this to the BOSS CMASS sample, to see if it removes the excess power previously observed beyond the best-fit $\Lambda$CDM model on very large scales. We consider several possible sources of data contamination, and check whether they affect the number of targets that can be observed and the power spectrum measurements. We describe a general framework for how such knowledge can be transformed into template fields. Mode subtraction can then be used to remove these systematic contaminants at least as well as applying corrective weighting to the observed galaxies, but benefits from giving an unbiased power. Even after applying templates for all known systematics, we find a large-scale power excess, but this is reduced compared with that observed using the weights provided by the BOSS team. This excess is at much larger scales than the BAO scale and does not affect the main results of BOSS. However, it will be important for the measurement of a scale-dependent bias due to primordial non-Gaussianity. The excess is beyond that allowed by any simple model of non-Gaussianity matching Planck data, and is not matched in other surveys. We show that this power excess can further be reduced but is still present using "phenomenological" templates, designed to consider further potentially unknown sources of systematic contamination. As all discrepant angular modes can be removed using "phenomenological" templates, the potentially remaining contaminant acts radially., Comment: 19 pages, accepted by MNRAS
Published: 2019

44. Unbiased contaminant removal for 3D galaxy power spectrum measurements

Author: David Bacon, Will J. Percival, Benedict Kalus, and Lado Samushia
Subjects: large-scale structure of Universe [cosmology], Physics, Cosmology and Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), ST/N00180X/1, 010308 nuclear & particles physics, statistical [methods], FOS: Physical sciences, RCUK, Spectral density, Astronomy, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Galaxy, Methods statistical, Space and Planetary Science, ST/K0090X/1, 0103 physical sciences, astro-ph.CO, 010303 astronomy & astrophysics, STFC, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We assess and develop techniques to remove contaminants when calculating the 3D galaxy power spectrum. We separate the process into three separate stages: (i) removing the contaminant signal, (ii) estimating the uncontaminated cosmological power spectrum, (iii) debiasing the resulting estimates. For (i), we show that removing the best-fit contaminant mode subtraction), and setting the contaminated components of the covariance to be infinite (mode deprojection) are mathematically equivalent. For (ii), performing a Quadratic Maximum Likelihood (QML) estimate after mode deprojection gives an optimal unbiased solution, although it requires the manipulation of large $N_{\rm mode}^2$ matrices ($N_{\rm mode}$ being the total number of modes)}, which is unfeasible for recent 3D galaxy surveys. Measuring a binned average of the modes for (ii) as proposed by \citet*[FKP]{Feldman} is faster and simpler, but is sub-optimal and gives rise to a biased solution. We present a method to debias the resulting FKP measurements that does not require any large matrix calculations. We argue that the sub-optimality of the FKP estimator compared with the QML estimator, caused by contaminants is less severe than that commonly ignored due to the survey window., Comment: 10 pages, 4 figures; version equivalent to accepted article
Published: 2016

45. A new method to measure galaxy bias by combining the density and weak lensing fields

Author: Martin Crocce, Enrique Gaztanaga, Chihway Chang, Marc Manera, J. Carretero, Pablo Fosalba, Alexandre Refregier, Adam Amara, Francisco J. Castander, David Bacon, Vinu Vikram, and Arnau Pujol
Subjects: Cosmology and Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Field (physics), Strong gravitational lensing, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Measure (mathematics), Cosmology, weak [gravitational lensing], 0103 physical sciences, Convergence (routing), survey, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Weak gravitational lensing, Physics, 010308 nuclear & particles physics, Astronomy and Astrophysics, Galaxy, Gravitational lens, Space and Planetary Science, astro-ph.CO, large-scale structure of Universe, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present a new method to measure the redshift-dependent galaxy bias by combining information from the galaxy density field and the weak lensing field. This method is based on Amara et al. (2012), where they use the galaxy density field to construct a bias-weighted convergence field kg. The main difference between Amara et al. (2012) and our new implementation is that here we present another way to measure galaxy bias using tomography instead of bias parameterizations. The correlation between kg and the true lensing field k allows us to measure galaxy bias using different zero-lag correlations, such as / or /. Our method measures the linear bias factor on linear scales under the assumption of no stochasticity between galaxies and matter. We use the MICE simulation to measure the linear galaxy bias for a flux-limited sample (i < 22.5) in tomographic redshift bins using this method. This paper is the first that studies the accuracy and systematic uncertainties associated with the implementation of the method, and the regime where it is consistent with the linear galaxy bias defined by projected 2-point correlation functions (2PCF). We find that our method is consistent with linear bias at the percent level for scales larger than 30 arcmin, while nonlinearities appear at smaller scales. This measurement is a good complement to other measurements of bias, since it does not depend strongly on sigma8 as the 2PCF measurements. We apply this method to the Dark Energy Survey Science Verification data in a follow-up paper., Comment: 15 pages, 9 figures
Published: 2016

46. Simulation tests of galaxy cluster constraints on chameleon gravity

Author: David Bacon, Gong-Bo Zhao, H. Wilcox, A. Kathy Romer, Kazuya Koyama, and Robert C. Nichol
Subjects: Cosmology and Gravitation, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cold dark matter, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, ST/L000652/1, 01 natural sciences, symbols.namesake, 0103 physical sciences, Cluster (physics), Surface brightness, 010303 astronomy & astrophysics, STFC, Weak gravitational lensing, Galaxy cluster, QB, Physics, 010308 nuclear & particles physics, Fifth force, RCUK, Astronomy and Astrophysics, Markov chain Monte Carlo, Galaxy, Computational physics, gravitation [simulation], Space and Planetary Science, symbols, ST/K00090X/1, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We use two new hydrodynamical simulations of $\Lambda$CDM and $f(R)$ gravity to test the methodology used by Wilcox et al. 2015 (W15) in constraining the effects of a fifth force on the profiles of clusters of galaxies. We construct realistic simulated stacked weak lensing and X-ray surface brightness cluster profiles from these cosmological simulations, and then use these data projected along various lines-of-sight to test the spherical symmetry of our stacking procedure. We also test the applicability of the NFW profile to model weak lensing profiles of clusters in $f(R)$ gravity. Finally, we test the validity of the analytical model developed in W15 against the simulated profiles. Overall, we find our methodology is robust and broadly agrees with these simulated data. We also apply our full Markov Chain Monte Carlo (MCMC) analysis from W15 to our simulated X-ray and lensing profiles, providing consistent constraints on the modified gravity parameters as obtained from the real cluster data, e.g. for our $\Lambda$CDM simulation we obtain $|f_{\rm{R}0}| < 8.3 \times 10^{-5}$ (95% CL), which is in good agreement with the W15 measurement of $|f_{\rm{R}0}| < 6 \times 10^{-5}$. Overall, these tests confirm the power of our methodology which can now be applied to larger cluster samples available with the next generation surveys., Comment: 12 pages, 15 figures
Published: 2016

47. Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Author: Keith Bechtol, B. Flaugher, David Thomas, H. T. Diehl, A. K. Romer, David Bacon, Paul Martini, Elisabeth Krause, Eli S. Rykoff, J. Prat, Joe Zuntz, Niall MacCrann, Marcos Lima, Masao Sako, W. G. Hartley, G. Gutierrez, C. Davis, A. Roodman, J. Gschwend, R. P. Rollins, M. D. Johnson, Gary Bernstein, R. H. Schindler, Tommaso Giannantonio, R. C. Smith, L. F. Secco, R. Cawthon, G. Tarle, Ramon Miquel, A. Carnero Rosell, Tesla E. Jeltema, F. J. Castander, I. Sevilla-Noarbe, E. Rozo, C. Sánchez, Douglas L. Tucker, Kyler Kuehn, Brian Yanny, Enrique Fernández, Michael Schubnell, Daniel Gruen, Shantanu Desai, A. A. Plazas, T. M. C. Abbott, J. Carretero, E. Buckley-Geer, Alex Drlica-Wagner, Daniel A. Goldstein, Juan Garcia-Bellido, Y. Fang, A. Benoit-Lévy, E. J. Sanchez, T. N. Varga, E. M. Huff, E. Bertin, Jonathan Blazek, L. N. da Costa, D. W. Gerdes, Mathew Smith, Oliver Friedrich, J. P. Dietrich, Donnacha Kirk, Tenglin Li, Scott Dodelson, D. L. Burke, Chihway Chang, Alistair R. Walker, A. Alarcon, Carlos E. Cunha, M. Gatti, Marcelle Soares-Santos, C. B. D'Andrea, S. E. Kuhlmann, Erin Sheldon, Felipe Menanteau, Joseph J. Mohr, Michael Troxel, David J. James, M. E. C. Swanson, S. Allam, Robert A. Gruendl, Martin Crocce, Jennifer L. Marshall, Pablo Fosalba, J. Annis, Ashley J. Ross, K. Honscheid, Joshua A. Frieman, Brian Nord, Risa H. Wechsler, J. De Vicente, Flavia Sobreira, S. Samuroff, M. W. G. Johnson, M. March, Markus Michael Rau, Matt J. Jarvis, P. Vielzeuf, Yanxi Zhang, Tim Eifler, M. Carrasco Kind, Robert C. Nichol, Ofer Lahav, Enrique Gaztanaga, Vinu Vikram, Filipe B. Abdalla, V. Scarpine, David J. Brooks, Bhuvnesh Jain, Jack Elvin-Poole, Peter Melchior, E. Suchyta, Ben Hoyle, N. Kokron, M. A. G. Maia, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), and DES
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), Physics and Astronomy (miscellaneous), FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, cosmic rays, Consistency (statistics), 0103 physical sciences, Experiments in gravity, 010303 astronomy & astrophysics, STFC, QC, Astrophysics::Galaxy Astrophysics, Photometric redshift, Physics, COSMIC cancer database, 010308 nuclear & particles physics, RCUK, Astronomy, Redshift, Galaxy, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], cosmology, Jackknife resampling, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We present galaxy-galaxy lensing measurements from 1321 sq. deg. of the Dark Energy Survey (DES) Year 1 (Y1) data. The lens sample consists of a selection of 660,000 red galaxies with high-precision photometric redshifts, known as redMaGiC, split into five tomographic bins in the redshift range $0.15 < z < 0.9$. We use two different source samples, obtained from the Metacalibration (26 million galaxies) and Im3shape (18 million galaxies) shear estimation codes, which are split into four photometric redshift bins in the range $0.2 < z < 1.3$. We perform extensive testing of potential systematic effects that can bias the galaxy-galaxy lensing signal, including those from shear estimation, photometric redshifts, and observational properties. Covariances are obtained from jackknife subsamples of the data and validated with a suite of log-normal simulations. We use the shear-ratio geometric test to obtain independent constraints on the mean of the source redshift distributions, providing validation of those obtained from other photo-$z$ studies with the same data. We find consistency between the galaxy bias estimates obtained from our galaxy-galaxy lensing measurements and from galaxy clustering, therefore showing the galaxy-matter cross-correlation coefficient $r$ to be consistent with one, measured over the scales used for the cosmological analysis. The results in this work present one of the three two-point correlation functions, along with galaxy clustering and cosmic shear, used in the DES cosmological analysis of Y1 data, and hence the methodology and the systematics tests presented here provide a critical input for that study as well as for future cosmological analyses in DES and other photometric galaxy surveys., 26 pages, 19 figures. Matches the version accepted by PRD
Published: 2018

48. A precise extragalactic test of General Relativity

Author: Thomas E. Collett, Kazuya Koyama, Lindsay Oldham, Russell J. Smith, Remco C. E. van den Bosch, Matthew W. Auger, David Bacon, Robert C. Nichol, Karen L. Masters, and Kyle B. Westfall
Subjects: Gravity (chemistry), Stellar kinematics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), General relativity, FOS: Physical sciences, Astrophysics, General Relativity and Quantum Cosmology (gr-qc), Astrophysics::Cosmology and Extragalactic Astrophysics, Curvature, 01 natural sciences, Measure (mathematics), General Relativity and Quantum Cosmology, Gravitation, symbols.namesake, 0103 physical sciences, Einstein, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, STFC, Physics, Multidisciplinary, 010308 nuclear & particles physics, RCUK, ST/P000541/1, Astrophysics - Astrophysics of Galaxies, Gravitational lens, Astrophysics of Galaxies (astro-ph.GA), symbols, ST/N000688/1, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: Einstein's theory of gravity, General Relativity, has been precisely tested on Solar System scales, but the long-range nature of gravity is still poorly constrained. The nearby strong gravitational lens, ESO 325-G004, provides a laboratory to probe the weak-field regime of gravity and measure the spatial curvature generated per unit mass, $\gamma$. By reconstructing the observed light profile of the lensed arcs and the observed spatially resolved stellar kinematics with a single self-consistent model, we conclude that $\gamma = 0.97 \pm 0.09$ at 68% confidence. Our result is consistent with the prediction of 1 from General Relativity and provides a strong extragalactic constraint on the weak-field metric of gravity., Comment: Published in Science. 42 pages, 10 figures including supplementary text and figures
Published: 2018
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49. Dark Energy Survey Year 1 results: curved-sky weak lensing mass map

Author: Peter Doel, H. T. Diehl, David Bacon, Niall MacCrann, C. Davis, J. Gschwend, C. B. D'Andrea, S. E. Kuhlmann, Gary Bernstein, David J. James, Daniel B. Thomas, S. Samuroff, J. Prat, Pablo Fosalba, Tesla E. Jeltema, E. Suchyta, Elisabeth Krause, K. Honscheid, T. Kacprzak, G. Gutierrez, Alex Drlica-Wagner, C. Bonnett, A. Benoit-Lévy, M. A. G. Maia, Michael Troxel, R. Cawthon, R. P. Rollins, A. A. Plazas, Daniel Gruen, E. M. Huff, Vinu Vikram, Shantanu Desai, J. Annis, Felipe Menanteau, E. Buckley-Geer, R. C. Smith, Douglas L. Tucker, Kyler Kuehn, M. D. Johnson, J. De Vicente, J. Carretero, Eli S. Rykoff, A. Alarcon, Eric H. Neilsen, I. Sevilla-Noarbe, Martin Crocce, Matt J. Jarvis, Ramon Miquel, Matthew Smith, Jack Elvin-Poole, Donnacha Kirk, B. Flaugher, A. Pujol, T. S. Li, C. Sánchez, Alistair R. Walker, J. P. Dietrich, Huan Lin, Eric J. Baxter, M. T. Busha, P. Vielzeuf, M. W. G. Johnson, A. Carnero Rosell, Don Petravick, Marcelle Soares-Santos, M. Gatti, Yanxi Zhang, Erin Sheldon, W. G. Hartley, T. N. Varga, David Brooks, W. C. Wester, Steve Kent, L. N. da Costa, Peter Melchior, Juan Garcia-Bellido, Attila Kovács, V. Scarpine, A. K. Romer, Eduardo Rozo, A. Roodman, D. L. Burke, Tommaso Giannantonio, Matthew R. Becker, Flavia Sobreira, Paul Martini, S. Allam, Robert A. Gruendl, Ricardo L. C. Ogando, Joshua A. Frieman, J. DeRose, A. Fausti Neto, Ben Hoyle, G. Tarle, Enrique Fernández, Marcos Lima, M. Sako, Markus Michael Rau, Keith Bechtol, M. March, Risa H. Wechsler, E. Bertin, Chihway Chang, Carlos E. Cunha, F. J. Castander, Enrique Gaztanaga, T. M. C. Abbott, Joseph J. Mohr, E. J. Sanchez, Juan Estrada, Joe Zuntz, B. Mawdsley, Michael Schubnell, M. Carrasco Kind, Robert C. Nichol, Filipe B. Abdalla, Bhuvnesh Jain, Ofer Lahav, Boris Leistedt, Niall Jeffrey, Département d'Astrophysique (ex SAP) (DAP), Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Astrophysique Interprétation Modélisation (AIM (UMR_7158 / UMR_E_9005 / UM_112)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris Diderot - Paris 7 (UPD7)-Centre National de la Recherche Scientifique (CNRS), Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris Diderot - Paris 7 (UPD7), Astrophysique Interprétation Modélisation (AIM (UMR7158 / UMR_E_9005 / UM_112)), Laboratoire AIM, Université Paris Diderot - Paris 7 ( UPD7 ) -Centre d'Etudes de Saclay, Institut d'Astrophysique de Paris ( IAP ), and Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS )
Subjects: Cosmology and Nongalactic Astrophysics (astro-ph.CO), [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], FOS: Physical sciences, Library science, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, dark matter, gravitational lensing: weak, surveys, 0103 physical sciences, media_common.cataloged_instance, European union, Astronomy observatory, 010303 astronomy & astrophysics, STFC, media_common, QB, Physics, 010308 nuclear & particles physics, European research, Astronomy, RCUK, Astronomy and Astrophysics, Space and Planetary Science, Research council, Fundamental physics, astro-ph.CO, Christian ministry, National laboratory, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: We construct the largest curved-sky galaxy weak lensing mass map to date from the DES first-year (DES Y1) data. The map, about 10 times larger than previous work, is constructed over a contiguous $\approx1,500 $deg$^2$, covering a comoving volume of $\approx10 $Gpc$^3$. The effects of masking, sampling, and noise are tested using simulations. We generate weak lensing maps from two DES Y1 shear catalogs, Metacalibration and Im3shape, with sources at redshift $0.2, Comment: 25 pages, 19 figures, 1 table; revision with changes implemented according to journal referee
Published: 2018
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50. Testing General Relativity with the Doppler magnification effect

Author: Teboho Moloi, Roy Maartens, Philip Bull, Sambatra Andrianomena, David Bacon, Chris Clarkson, and Camille Bonvin
Subjects: Brightness, Cosmology and Nongalactic Astrophysics (astro-ph.CO), gr-qc, Magnification, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, General Relativity and Quantum Cosmology (gr-qc), 01 natural sciences, General Relativity and Quantum Cosmology, ST/P000592/1, symbols.namesake, 0103 physical sciences, Peculiar velocity, 010303 astronomy & astrophysics, STFC, Astrophysics::Galaxy Astrophysics, Physics, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Galaxy, Redshift, Space and Planetary Science, symbols, astro-ph.CO, ST/N000668/1, Fundamental plane (elliptical galaxies), Multipole expansion, Doppler effect, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract: The apparent sizes and brightnesses of galaxies are correlated in a dipolar pattern around matter overdensities in redshift space, appearing larger on their near side and smaller on their far side. The opposite effect occurs for galaxies around an underdense region. These patterns of apparent magnification induce dipole and higher multipole terms in the cross-correlation of galaxy number density fluctuations with galaxy size/brightness (which is sensitive to the convergence field). This provides a means of directly measuring peculiar velocity statistics at low and intermediate redshift, with several advantages for performing cosmological tests of GR. In particular, it does not depend on empirically-calibrated scaling relations like the Tully-Fisher and Fundamental Plane methods. We show that the next generation of spectroscopic galaxy redshift surveys will be able to measure the Doppler magnification effect with sufficient signal-to-noise to test GR on large scales. We illustrate this with forecasts for the constraints that can be achieved on parametrised deviations from GR for forthcoming low-redshift galaxy surveys with DESI and SKA2. Although the cross-correlation statistic considered has a lower signal to noise than RSD, it will be a useful probe of GR since it is sensitive to different systematics., Comment: Version accepted by MNRAS. Significant expansion of results and improvements in the interpretation
Published: 2018
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