Search

Your search keyword '"Gary Bernstein"' showing total 202 results
Start Over Author "Gary Bernstein"
202 results on '"Gary Bernstein"'

1. Selective Binding, Self-Assembly and Nanopatterning of the Creutz-Taube Ion on Surfaces

Author

Qingling Hang, Gary Bernstein, Marya Lieberman, and Yuliang Wang

Subjects
Creutz-Taube ions, Surface, Hydrophilic, Hydrophobic, XPS, AFM, Self-assembled Monolayers, E-beam lithography, PMMA, Nanopatterning, Biology (General), QH301-705.5, Chemistry, QD1-999
Abstract

The surface attachment properties of the Creutz-Taube ion, i.e., [(NH3)5Ru(pyrazine)Ru(NH3)5]5+, on both hydrophilic and hydrophobic types of surfaces were investigated using X-ray photoelectron spectroscopy (XPS). The results indicated that the Creutz-Taube ions only bound to hydrophilic surfaces, such as SiO2 and –OH terminated organic SAMs on gold substrates. No attachment of the ions on hydrophobic surfaces such as –CH3 terminated organic SAMs and poly(methylmethacrylate) (PMMA) thin films covered gold or SiO2 substrates was observed. Further ellipsometric, atomic force microscopy (AFM) and time-dependent XPS studies suggested that the attached cations could form an inorganic analog of the self-assembled monolayer on SiO2 substrate with a “lying-down” orientation. The strong electrostatic interaction between the highly charged cations and the anionic SiO2 surface was believed to account for these observations. Based on its selective binding property, patterning of wide (~200 nm) and narrow (~35 nm) lines of the Creutz-Taube ions on SiO2 surface were demonstrated through PMMA electron resist masks written by electron beam lithography (EBL).

Published
2009
Full Text
View/download PDF

2. 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

3. Dark Energy Survey year 3 results: point spread function modelling

Author

Alex Drlica-Wagner, A. Hernandez, David J. James, Pablo Fosalba, Michael Schubnell, V. Scarpine, M. March, Sarah Bridle, Santiago Avila, Chihway Chang, A. Navarro-Alsina, S. Kent, S. Desai, R. D. Wilkinson, C. Davis, Samuel Hinton, Erin Sheldon, Josh Frieman, M. Costanzi, J. Meyers, G. Gutierrez, Gary Bernstein, Enrique Gaztanaga, B. Flaugher, Ofer Lahav, Ramon Miquel, Eli S. Rykoff, M. A. G. Maia, J. Carretero, G. Tarle, A. R. Walker, Ian Harrison, M. E. C. Swanson, P. F. Léget, S. Everett, S. Pandey, E. Suchyta, I. Sevilla-Noarbe, M. Smith, Peter Melchior, T. M. C. Abbott, Keith Bechtol, Juan Garcia-Bellido, J. De Vicente, N. Kuropatkin, D. L. Hollowood, M. Carrasco Kind, Michael Troxel, Daniel Gruen, M. Gatti, S. Serrano, A. Choi, W. C. Wester, A. Roodman, Matt J. Jarvis, E. J. Sanchez, David J. Brooks, T. N. Varga, K. Honscheid, Peter Doel, A. Carnero Rosell, R. L. C. Ogando, Joe Zuntz, H. T. Diehl, L. N. da Costa, Niall MacCrann, Alexandra Amon, Felipe Menanteau, D. W. Gerdes, A. A. Plazas, S. Vorperian, Kyler Kuehn, L. F. Secco, Sunayana Bhargava, Jennifer L. Marshall, K. Wei, S. Allam, Robert A. Gruendl, R. Chen, Michel Aguena, F. Paz-Chinchón, UAM. Departamento de Física Teórica, Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Université de Paris (UP), DES, Jarvis, M., Bernstein, G. M., Amon, A., Davis, C., Léget, P. F., Bechtol, K., Harrison, I., Gatti, M., Roodman, A., Chang, C., Chen, R., Choi, A., Desai, S., Drlica-Wagner, A., Gruen, D., Gruendl, R. A., Hernandez, A., Maccrann, N., Meyers, J., Navarro-Alsina, A., Pandey, S., Plazas, A. A., Secco, L. F., Sheldon, E., Troxel, M. A., Vorperian, S., Wei, K., Zuntz, J., Abbott, T. M. C., Aguena, M., Allam, S., Avila, S., Bhargava, S., Bridle, S. L., Brooks, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Diehl, H. T., Doel, P., Everett, S., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Kuehn, K., Kuropatkin, N., Lahav, O., Maia, M. A. G., March, M., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Ogando, R. L. C., Paz-Chinchón, F., Rykoff, E. S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Varga, T. N., Walker, A. R., Wester, W., and Wilkinson, R. D. (DES Collaboration)

Subjects
Point spread function, Systematic error, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Sextractor, FOS: Physical sciences, Image Processing [Techniques], Field of view, Surveys, Cosmology: Observations, 01 natural sciences, data analysi [software], Observations [Cosmology], Techniques: Image Processing, 0103 physical sciences, Range (statistics), survey, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], 2mass, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, Software: Data Analysis, Weak gravitational lensing, Physics, Gravitational Lensing: Weak, 010308 nuclear & particles physics, Física, Astronomy and Astrophysics, Mass, Catalogues, Software package, Galaxy, gravitational lensing: weak, techniques: image processing, catalogues, surveys, software: data analysis, cosmology: observations, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics, Space and Planetary Science, Weak [Gravitational Lensing], Dark energy, Data Analysis [Software], Catalog, catalogue, Astrophysics - Instrumentation and Methods for Astrophysic, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Algorithm, [PHYS.PHYS.PHYS-DATA-AN]Physics [physics]/Physics [physics]/Data Analysis, Statistics and Probability [physics.data-an], observation [cosmology]
Abstract

We introduce a new software package for modeling the point-spread function (PSF) of astronomical images, called Piff (PSFs In the Full FOV), which we apply to the first three years (known as Y3) of the Dark Energy Survey (DES) data. We describe the relevant details about the algorithms used by Piff to model the PSF, including how the PSF model varies across the field of view (FOV). Diagnostic results show that the systematic errors from the PSF modeling are very small over the range of scales that are important for the DES Y3 weak lensing analysis. In particular, the systematic errors from the PSF modeling are significantly smaller than the corresponding results from the DES year one (Y1) analysis. We also briefly describe some planned improvements to Piff that we expect to further reduce the modeling errors in future analyses., Comment: 19 pages, accepted/published by MNRAS. See https://www.darkenergysurvey.org/des-year-3-cosmology-results-papers/ for the full DES Y3 cosmology release

Published
2020

4. 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

5. Galaxy–galaxy lensing with the DES-CMASS catalogue: measurement and constraints on the galaxy-matter cross-correlation

Author

J. De Vicente, A. A. Plazas Malagón, M. March, W. G. Hartley, J. P. Dietrich, David J. Brooks, Juan Garcia-Bellido, Christopher M. Hirata, Dragan Huterer, Joseph J. Mohr, Jochen Weller, J. Carretero, F. J. Castander, G. Tarle, Carlos Solans Sanchez, E. Bertin, Adriano Pieres, Jack Elvin-Poole, B. Flaugher, M. Carrasco Kind, A. Roodman, F. Andrade-Oliveira, Tommaso Giannantonio, Samuel Hinton, V. Scarpine, Peter Doel, Chun-Hao To, David J. James, G. Gutierrez, Jennifer L. Marshall, E. J. Sanchez, M Gatti, J. DeRose, Ramon Miquel, Josh Frieman, Pablo Fosalba, Joe Zuntz, Maria E. S. Pereira, S. Lee, E. Suchyta, August E. Evrard, Enrique Gaztanaga, Erin Sheldon, Daniel Thomas, H. T. Diehl, Ofer Lahav, Y. Omori, M. Costanzi, A. Carnero Rosell, R. Cawthon, Robert Morgan, Ashley J. Ross, I. Ferrero, P. Vielzeuf, Michael Schubnell, Tim Eifler, Chihway Chang, Niall MacCrann, S. Desai, E. M. Huff, C. Davis, Michel Aguena, D. L. Burke, J. Gschwend, Gary Bernstein, S. Allam, Robert A. Gruendl, S. Samuroff, Ami Choi, Ben Hoyle, Antonella Palmese, M. A. G. Maia, I. Sevilla-Noarbe, N. Kuropatkin, T. N. Varga, L. N. da Costa, J. Prat, M. E. C. Swanson, Alexandra Amon, Felipe Menanteau, K. Honscheid, Michael Troxel, Marcos Lima, S. Everett, Kyler Kuehn, M. Smith, D. L. Hollowood, S. Serrano, Daniel Gruen, D. W. Gerdes, Christopher J. Conselice, Markus Rau, F. Paz-Chinchón, Lee, S., Troxel, M. A., Choi, A., Elvin-Poole, J., Hirata, C., Honscheid, K., Huff, E. M., Maccrann, N., Ross, A. J., Eifler, T. F., Chang, C., Miquel, R., Omori, Y., Prat, J., Bernstein, G. M., Davis, C., Derose, J., Gatti, M., Rau, M. M., Samuroff, S., Sanchez, C., Vielzeuf, P., Zuntz, J., Aguena, M., Allam, S., Amon, A., Andrade-Oliveira, F., Bertin, E., Brooks, D., Burke, D. L., Rosell, A. C., Kind, M. C., Carretero, J., Castander, F. J., Cawthon, R., Conselice, C., Costanzi, M., da Costa, L. N., Pereira, M. E. S., de Vicente, J., Desai, S., Diehl, H. T., Dietrich, J. P., Doel, P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., 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., Hoyle, B., Huterer, D., James, D. J., Kuehn, K., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., March, M., Marshall, J. L., Menanteau, F., Mohr, J. J., Morgan, R., Palmese, A., Paz-Chinchon, F., Pieres, A., Malagon, A. A. P., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., To, C., Varga, T. N., Weller, J., Duke University, Ohio State University, California Institute of Technology, University of Cambridge, University of Arizona, University of Chicago, Institució Catalana de Recerca i Estudis Avançats, Barcelona Institute of Science and Technology, Stanford University, University of Pennsylvania, 501 Campbell Hall, Santa Cruz Institute for Particle Physics, Carnegie Mellon University, University of Edinburgh, Universidade de São Paulo (USP), Laboratório Interinstitucional de e-Astronomia - LIneA, Fermi National Accelerator Laboratory, Universidade Estadual Paulista (UNESP), Institut d’Astrophysique de Paris, University College London, SLAC National Accelerator Laboratory, Instituto de Astrofisica de Canarias, Dpto. Astrofisica, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Institut d’Estudis Espacials de Catalunya (IEEC), CSIC), University of Wisconsin-Madison, University of Manchester, School of Physics and Astronomy, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, University of Michigan, Medioambientales y Tecnológicas (CIEMAT), IIT Hyderabad, Ludwig-Maximilians-Universität, University of Oslo, Universidad Autonoma de Madrid, University of Geneva, University of Queensland, Max Planck Institute for Extraterrestrial Physics, Harvard & Smithsonian, Macquarie University, Lowell Observatory, Texas A&M University, Peyton Hall, Brookhaven National Laboratory, University of Southampton, Oak Ridge National Laboratory, University of Portsmouth, Ludwig-Maximilians Universität München, 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, Department of Energy (US), National Science Foundation (US), National Aeronautics and Space Administration (US), Simons Foundation, Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, European Space Agency, and European Research Council

Subjects
Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cross-correlation, Gravitational lensing, Large-scale structure of universe, Física, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Galaxy, Space and Planetary Science, 0103 physical sciences, Large-scale structure of the Universe, 010306 general physics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

DES collaboration: et al., The DMASS sample is a photometric sample from the DES Year 1 data set designed to replicate the properties of the CMASS sample from BOSS, in support of a joint analysis of DES and BOSS beyond the small overlapping area. In this paper, we present the measurement of galaxy–galaxy lensing using the DMASS sample as gravitational lenses in the DES Y1 imaging data. We test a number of potential systematics that can bias the galaxy–galaxy lensing signal, including those from shear estimation, photometric redshifts, and observing conditions. After careful systematic tests, we obtain a highly significant detection of the galaxy–galaxy lensing signal, with total S/N = 25.7. With the measured signal, we assess the feasibility of using DMASS as gravitational lenses equivalent to CMASS, by estimating the galaxy-matter cross-correlation coefficient rcc. By jointly fitting the galaxy–galaxy lensing measurement with the galaxy clustering measurement from CMASS, we obtain rcc=1.09+0.12−0.11 for the scale cut of 4h−1Mpc and rcc=1.06+0.13−0.12 for 12h−1Mpc in fixed cosmology. By adding the angular galaxy clustering of DMASS, we obtain rcc = 1.06 ± 0.10 for the scale cut of 4h−1Mpc and rcc = 1.03 ± 0.11 for 12h−1Mpc⁠. The resulting values of rcc indicate that the lensing signal of DMASS is statistically consistent with the one that would have been measured if CMASS had populated the DES region within the given statistical uncertainty. The measurement of galaxy–galaxy lensing presented in this paper will serve as part of the data vector for the forthcoming cosmology analysis in preparation., AC acknowledges support from NASA grant 15-WFIRST15-0008. During the preparation of this paper, C.H. was supported by the Simons Foundation, NASA, and the U.S. Department of Energy. 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 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) 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. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/. SDSS-III is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS-III Collaboration including the University of Arizona, the Brazilian Participation Group, Brookhaven National Laboratory, Carnegie Mellon University, University of Florida, the French Participation Group, the German Participation Group, Harvard University, the Instituto de Astrofisica de Canarias, the Michigan State/Notre Dame/JINA Participation Group, Johns Hopkins University, Lawrence Berkeley National Laboratory, Max Planck Institute for Astrophysics, Max Planck Institute for Extraterrestrial Physics, New Mexico State University, New York University, Ohio State University, Pennsylvania State University, University of Portsmouth, Princeton University, the Spanish Participation Group, University of Tokyo, University of Utah, Vanderbilt University, University of Virginia, University of Washington, and Yale University. This work used resources at the Owens Cluster at the Ohio Supercomputer Center (OSC 1987) and the Duke Compute Cluster (DCC) at Duke University.

Published
2022

6. Propagating sample variance uncertainties in redshift calibration: simulations, theory, and application to the COSMOS2015 data

Author

Marco Raveri, C. Sánchez, Gary Bernstein, and A. Alarcon

Subjects
cosmology: Observations, Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Calibration (statistics), Shot noise, FOS: Physical sciences, Astronomy and Astrophysics, Sample (statistics), Astrophysics::Cosmology and Extragalactic Astrophysics, Galaxy, Redshift, galaxies: Distances and redshifts, galaxies: Photometry, surveys, Space and Planetary Science, Poisson sampling, Sample variance, Statistical physics, Astrophysics - Instrumentation and Methods for Astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Weak gravitational lensing, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Cosmological analyses of galaxy surveys rely on knowledge of the redshift distribution of their galaxy sample. This is usually derived from a spectroscopic and/or many-band photometric calibrator survey of a small patch of sky. The uncertainties in the redshift distribution of the calibrator sample include a contribution from shot noise, or Poisson sampling errors, but, given the small volume they probe, they are dominated by sample variance introduced by large-scale structures. Redshift uncertainties have been shown to constitute one of the leading contributions to systematic uncertainties in cosmological inferences from weak lensing and galaxy clustering, and hence they must be propagated through the analyses. In this work, we study the effects of sample variance on small-area redshift surveys, from theory to simulations to the COSMOS2015 data set. We present a three-step Dirichlet method of resampling a given survey-based redshift calibration distribution to enable the propagation of both shot noise and sample variance uncertainties. The method can accommodate different levels of prior confidence on different redshift sources. This method can be applied to any calibration sample with known redshifts and phenotypes (i.e. cells in a self-organizing map, or some other way of discretizing photometric space), and provides a simple way of propagating prior redshift uncertainties into cosmological analyses. As a worked example, we apply the full scheme to the COSMOS2015 data set, for which we also present a new, principled SOM algorithm designed to handle noisy photometric data. We make available a catalog of the resulting resamplings of the COSMOS2015 galaxies., Comment: 18 pages, 16 figures. Comments welcome

Published
2020

7. Reprint of 'Evidence for color dichotomy in the primordial Neptunian Trojan population'

Author

Peter Doel, V. Scarpine, Kyle Franson, Larissa Markwardt, Pedro Bernadinelli, Carlos E. Cunha, Tim Eifler, E. Suchyta, Douglas L. Tucker, Tali Khain, I. Sevilla-Noarbe, Kyler Kuehn, Salcedo Romero de Ávila, J. Annis, L. N. da Costa, Fred C. Adams, Alistair R. Walker, Marcelle Soares-Santos, T. M. C. Abbott, David J. Brooks, K. Honscheid, E. J. Sanchez, Jennifer L. Marshall, W. C. Wester, B. Flaugher, Juan Garcia-Bellido, Juliette C. Becker, D. L. Hollowood, A. A. Plazas, Ramon Miquel, S. Allam, R. C. Smith, M. A. G. Maia, C. B. D'Andrea, S. Hamilton, M. Carrasco Kind, Masao Sako, G. Tarle, A. Carnero Rosell, Flavia Sobreira, David J. James, J. De Vicente, Hsing Wen Lin, Gary Bernstein, M. Smith, A. K. Romer, D. W. Gerdes, and N. P. Kuropatkin

Subjects
Physics, Solar System, education.field_of_study, Planetesimal, 010504 meteorology & atmospheric sciences, media_common.quotation_subject, Population, Astronomy, Astronomy and Astrophysics, 01 natural sciences, Jovian, Space and Planetary Science, Trojan, Planet, 0103 physical sciences, Trans-Neptunian object, Eccentricity (behavior), education, 010303 astronomy & astrophysics, 0105 earth and related environmental sciences, media_common
Abstract

In the current model of early Solar System evolution, the stable members of the Jovian and Neptunian Trojan populations were captured into resonance from the leftover reservoir of planetesimals during the outward migration of the giant planets. As a result, both Jovian and Neptunian Trojans share a common origin with the primordial disk population, whose other surviving members constitute today’s trans-Neptunian object (TNO) populations. The cold (low inclination and small eccentricity) classical TNOs are ultra-red, while the dynamically excited “hot” (high inclination and larger eccentricity) population of TNOs contains a mixture of ultra-red and blue objects. In contrast, Jovian and Neptunian Trojans are observed to be blue. While the absence of ultra-red Jovian Trojans can be readily explained by the sublimation of volatile material from their surfaces due to the high flux of solar radiation at 5 AU, the lack of ultra-red Neptunian Trojans presents both a puzzle and a challenge to formation models. In this work we report the discovery by the Dark Energy Survey (DES) of two new dynamically stable L4 Neptunian Trojans, 2013 VX30 and 2014 UU240, both with inclinations i > 30°, making them the highest-inclination known stable Neptunian Trojans. We have measured the colors of these and three other dynamically stable Neptunian Trojans previously observed by DES, and find that 2013 VX30 is ultra-red, the first such Neptunian Trojan in its class. As such, 2013 VX30 may be a “missing link” between the Trojan and TNO populations. Using a simulation of the DES TNO detection efficiency, we find that there are 162 ± 73 Trojans with Hr

Published
2019

8. 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

9. Dark energy survey year 3 results: Photometric data set for cosmology

Author

Tesla E. Jeltema, Samuel Hinton, I. Ferrero, Matt J. Jarvis, G. Gutierrez, C.Pond, Ramon Miquel, C. Lidman, E. M. Huff, Michel Aguena, Risa H. Wechsler, Eric H. Neilsen, Martin Crocce, R. D. Wilkinson, A. Benoit-Lévy, Daniel Thomas, David J. James, J. De Vicente, Boris Leistedt, D. J. Brout, E. Suchyta, August E. Evrard, Jochen Weller, Douglas L. Tucker, Matthew R. Becker, Eric Morganson, G. Tarle, Sunayana Bhargava, F. J. Castander, Tianjun Li, V. Scarpine, Ian Harrison, Peter Doel, J. Carretero, Tamara M. Davis, Jennifer L. Marshall, Keith Bechtol, T. M. C. Abbott, A. A. Plazas, Ami Choi, Ben Hoyle, K. M. Stringer, C. J. Conselice, Huan Lin, H. T. Diehl, M. Carrasco Kind, Chun-Hao To, E. J. Sanchez, Ofer Lahav, K. Kuehn, M.E.E.Pereira, Robert Morgan, Erin Sheldon, R. Cawthon, Peter Melchior, E. S. Rykoff, Alex Drlica-Wagner, D. L. Burke, I. Sevilla-Noarbe, A. Alarcon, Y.-H. Zhang, David J. Brooks, Dragan Huterer, J. Gschwend, Brian Yanny, Antonella Palmese, N. Kuropatkin, Michael Troxel, W. C. Wester, Gary Bernstein, J. Annis, A. Roodman, M. A. G. Maia, M. Rodriguez-Monroy, S. Allam, Robert A. Gruendl, Tommaso Giannantonio, K. D. Eckert, T. N. Varga, A. K. Romer, Adriano Pieres, L. N. da Costa, P. Martini, Enrique Gaztanaga, R. L. C. Ogando, Sarah Bridle, Santiago Avila, Chihway Chang, S. Everett, S. Desai, J.Allyn-Smith, E. Bertin, D. L. Hollowood, S. Serrano, Richard Kessler, Michael Schubnell, Marcos Lima, Joseph J. Mohr, Alexandra Amon, Felipe Menanteau, Richard G. Kron, A. Carnero Rosell, K. Honscheid, F. Paz-Chinchón, M. Smith, Daniel Gruen, D. W. Gerdes, M. Costanzi, B. Flaugher, M. D. Johnson, P. Fosalba, W. G. Hartley, J. P. Dietrich, Juan Garcia-Bellido, Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), Instituto Nacional de Ciência e Tecnologia (Brasil), European Commission, Generalitat de Catalunya, Department of Energy (US), Sevilla-Noarbe, I., Bechtol, K., Carrasco Kind, M., Carnero Rosell, A., Becker, M. R., Drlica-Wagner, A., Gruendl, R. A., Rykoff, E. S., Sheldon, E., Yanny, B., Alarcon, A., Allam, S., Amon, A., Benoit-Lévy, A., Bernstein, G. M., Bertin, E., Burke, D. L., Carretero, J., Choi, A., Diehl, H. T., Everett, S., Flaugher, B., Gaztanaga, E., Gschwend, J., Harrison, I., Hartley, W. G., Hoyle, B., Jarvis, M., Johnson, M. D., Kessler, R., Kron, R., Kuropatkin, N., Leistedt, B., T. S., Li, Menanteau, F., Morganson, E., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Pieres, A., Pond, C., Rodriguez-Monroy, M., Allyn-Smith, J., Stringer, K. M., Troxel, M. A., Tucker, D. L., de Vicente, J., Wester, W., Zhang, Y., Abbott, T. M. C., Aguena, M., Annis, J., Avila, S., Bhargava, S., Bridle, S. L., Brooks, D., Brout, D., Castander, F. J., Cawthon, R., Chang, C., Conselice, C., Costanzi, M., Crocce, M., da Costa, L. N., Pereira, M. E. E., Davis, T. M., Desai, S., Dietrich, J. P., Doel, P., Eckert, K., Evrard, A. E., Ferrero, I., Fosalba, P., García-Bellido, J., Gerdes, D. W., Giannantonio, T., Gruen, D., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Honscheid, K., Huff, E. M., Huterer, D., James, D. J., Jeltema, T., Kuehn, K., Lahav, O., Lidman, C., Lima, M., Lin, H., Maia, M. A. G., Marshall, J. L., Martini, P., Melchior, P., Miquel, R., Mohr, J. J., Morgan, R., Neilsen, E., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Smith, M., Suchyta, E., Tarle, G., Thomas, D., To, C., Varga, T. N., Wechsler, R. H., 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), DES, and UAM. Departamento de Física Teórica

Subjects
Observational cosmology, Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Astrophysics, Surveys, 7. Clean energy, 01 natural sciences, Cosmology, Photometric calibration, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysic, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Survey, 010303 astronomy & astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Physics, Catalogs, 1671, 205, 1146, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics, 010308 nuclear & particles physics, Image (category theory), Física, Astronomy and Astrophysics, Galaxy, Data set, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Dark energy, Catalog, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Data release, Quality information
Abstract

Sevilla-Noarbe, I., et al. (DES Collaboration), We describe the Dark Energy Survey (DES) photometric data set assembled from the first three years of science operations to support DES Year 3 cosmologic analyses, and provide usage notes aimed at the broad astrophysics community. Y3 GOLD improves on previous releases from DES, Y1 GOLD, and Data Release 1 (DES DR1), presenting an expanded and curated data set that incorporates algorithmic developments in image detrending and processing, photometric calibration, and object classification. Y3 GOLD comprises nearly 5000 deg of grizY imaging in the south Galactic cap, including nearly 390 million objects, with depth reaching a signal-to-noise ratio ∼10 for extended objects up to i ∼ 23.0, and top-of-the-atmosphere photometric uniformity 98% and purity >99% for galaxies with 19 < i < 22.5. Additionally, it includes per-object quality information, and accompanying maps of the footprint coverage, masked regions, imaging depth, survey conditions, and astrophysical foregrounds that are used to select the cosmologic analysis samples., K.B. acknowledges support from the U. S. Department of Energy, Office of Science, Office of High Energy Physics, under Award Nos. DE-SC0020278 and DE-SC0017647. 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 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 Ci?ncia e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). A.C.R. acknowledges financial support from the Spanish Ministry of Science, Innovation and Universities (MICIU) under grant AYA2017-84061-P, co-financed by FEDER (European Regional Development Funds) and by the Spanish Space Research Program ?Participation in the NISP instrument and preparation for the science of EUCLID? (ESP2017-84272-C2-1-R). 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

10. Dark Energy Survey Year 1 Results: Cosmological Constraints from Cluster Abundances, Weak Lensing, and Galaxy Correlations

Author

G. Gutierrez, David J. Brooks, Robert Morgan, Erin Sheldon, J. Prat, Joe Zuntz, S. Samuroff, Jack Elvin-Poole, Matthew R. Becker, M. Carrasco Kind, M. E. C. Swanson, Alex Drlica-Wagner, J. Carretero, Dragan Huterer, V. Scarpine, Ashley J. Ross, Tamara M. Davis, E. Bertin, Xiao Fang, Douglas L. Tucker, Kyler Kuehn, Basilio X. Santiago, T. N. Varga, M. Gatti, J. Annis, A. Carnero Rosell, Youngsoo Park, D. L. Burke, W. C. Wester, Robert A. Gruendl, R. Cawthon, Marcos Lima, I. Ferrero, Matt J. Jarvis, P. Vielzeuf, Yanxi Zhang, Tim Eifler, M. Costanzi, W. G. Hartley, Arya Farahi, Josh Frieman, J. P. Dietrich, Juan Garcia-Bellido, Eduardo Rozo, Oliver Friedrich, I. Sevilla-Noarbe, T. McClintock, J. Muir, N. Kuropatkin, J. DeRose, E. Suchyta, August E. Evrard, Martin Crocce, R. D. Wilkinson, Ben Hoyle, Jochen Weller, L. N. da Costa, Tesla E. Jeltema, G. Tarle, Antonella Palmese, M. A. G. Maia, Michael Troxel, T. M. C. Abbott, Chun-Hao To, E. J. Sanchez, J. Myles, David J. James, Enrique Gaztanaga, Jonathan Blazek, Christopher J. Conselice, Markus Rau, Sarah Bridle, Santiago Avila, Chihway Chang, P. Fosalba, Carlos Solans Sanchez, Michel Aguena, Sunayana Bhargava, A. K. Romer, S. Desai, B. Flaugher, Sebastian Bocquet, Daniel Thomas, H. T. Diehl, Ramon Miquel, D. L. Hollowood, Niall MacCrann, S. Serrano, C. Davis, M. Smith, A. A. Plazas, Gary Bernstein, Hao-Yi Wu, Daniel Gruen, A. Porredon, V. Miranda, Maria E. S. Pereira, Elisabeth Krause, S. Everett, F. Paz-Chinchón, Jennifer L. Marshall, Eli S. Rykoff, Risa H. Wechsler, Richard G. Kron, A. Roodman, Tommaso Giannantonio, A. Choi, K. Honscheid, Alexandra Amon, Felipe Menanteau, Samuel Hinton, Department of Energy (US), Ministerio de Economía y Competitividad (España), Ministerio de Ciencia, Innovación y Universidades (España), German Research Foundation, European Commission, To, C., Krause, E., Rozo, E., Wu, H., Gruen, D., Wechsler, R. H., Eifler, T. F., Rykoff, E. S., Costanzi, M., Becker, M. R., Bernstein, G. M., Blazek, J., Bocquet, S., Bridle, S. L., Cawthon, R., Choi, A., Crocce, M., Davis, C., Derose, J., Drlica-Wagner, A., Elvin-Poole, J., Fang, X., Farahi, A., Friedrich, O., Gatti, M., Gaztanaga, E., Giannantonio, T., Hartley, W. G., Hoyle, B., Jarvis, M., Maccrann, N., Mcclintock, T., Miranda, V., Pereira, M. E. S., Park, Y., Porredon, A., Prat, J., Rau, M. M., Ross, A. J., Samuroff, S., Sánchez, C., Sevilla-Noarbe, I., Sheldon, E., Troxel, M. A., Varga, T. N., Vielzeuf, P., Zhang, Y., Zuntz, J., 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., Chang, C., Conselice, C., da Costa, L. N., Davis, T. M., Desai, S., Diehl, H. T., Dietrich, J. P., Everett, S., Evrard, A. E., Ferrero, I., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gruendl, R. A., Gutierrez, G., Hinton, S. R., Hollowood, D. L., Huterer, D., James, D. J., Jeltema, T., Kron, R., Kuehn, K., Kuropatkin, N., Lima, M., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Muir, J., Myles, J., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Romer, A. K., Roodman, A., Sanchez, E., Santiago, B., Scarpine, V., Serrano, S., Smith, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Thomas, D., Tucker, D. L., Weller, J., Wester, W., 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 UAM. Departamento de Física Teórica

Subjects
SDSS, Software_OPERATINGSYSTEMS, ComputingMethodologies_SIMULATIONANDMODELING, Cosmological parameters, General Physics and Astronomy, Astrophysics, SPT, Astrophysics::Cosmology and Extragalactic Astrophysics, Data_CODINGANDINFORMATIONTHEORY, des, Gravitation and Astrophysics, 01 natural sciences, 7. Clean energy, Cosmology, scale, TRACER, evolution, 0103 physical sciences, Dark energy, Hardware_INTEGRATEDCIRCUITS, Dark matter, 010306 general physics, Cluster analysis, Scaling, Weak gravitational lensing, STFC, Physics, model, COSMIC cancer database, RCUK, Física, spt, Mass Calibration, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Galaxy, Scale, red galaxies, 13. Climate action, Cosmic Shear, mass calibration, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], sdss, cosmic shear, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

To, C. et al. (DES Collaboration), We present the first joint analysis of cluster abundances and auto or cross-correlations of three cosmic tracer fields: galaxy density, weak gravitational lensing shear, and cluster density split by optical richness. From a joint analysis (4×2pt+N) of cluster abundances, three cluster cross-correlations, and the auto correlations of the galaxy density measured from the first year data of the Dark Energy Survey, we obtain ωm=0.305-0.038+0.055 and σ8=0.783-0.054+0.064. This result is consistent with constraints from the DES-Y1 galaxy clustering and weak lensing two-point correlation functions for the flat νΛCDM model. Consequently, we combine cluster abundances and all two-point correlations from across all three cosmic tracer fields (6×2pt+N) and find improved constraints on cosmological parameters as well as on the cluster observable-mass scaling relation. This analysis is an important advance in both optical cluster cosmology and multiprobe analyses of upcoming wide imaging surveys., This Letter has gone through internal review by the DES Collaboration. This work was supported in part by the U.S. Department of Energy contract to SLAC National Accelerator Laboratory, under Contract No. DE-AC02- 76SF00515 (C. H., D. G., R. W.) including a Panofsky Fellowship awarded to D. G. E. K. is supported by the Department of Energy Grant No. DE-SC0020247. E. R. is supported by DOE Grants No. DE-SC0015975 and No. DE-SC0009913, and by NSF Grant No. 2009401. E. R. also acknowledges funding from the Cottrell Scholar program of the Research Corporation for Science Advancement. H. W. is supported by NSF Grant No. AST-1516997. Some of the computing for this project was performed on the Sherlock cluster at Stanford. We would like to thank KIPAC, Stanford University, and the Stanford Research Computing Center for providing computational resources and support that contributed to these research results. Funding for the DES Projects has been provided by the DOE and NSF(USA), MEC/MICINN/ MINECO(Spain), STFC(UK), HEFCE(UK). NCSA (UIUC), KICP(U. Chicago), CCAPP(Ohio State), MIFPA(Texas A&M), CNPQ, FAPERJ, FINEP (Brazil), DFG(Germany), and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne Lab, UC Santa Cruz, University of Cambridge, CIEMAT-Madrid, University of Chicago, University College London, DES-Brazil Consortium, University of Edinburgh, ETH Zürich, Fermilab, University of Illinois, ICE (IEEC-CSIC), IFAE Barcelona, Lawrence Berkeley Lab, LMU München and the associated Excellence Cluster Universe, University of Michigan, NFS’s NOIRLab, University of Nottingham, Ohio State University, University of Pennsylvania, University of Portsmouth, SLAC National Lab, Stanford University, University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSFs 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 NSF under Grants No. AST-1138766 and No. 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 MDM2015-0509, 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 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). 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

12. 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

13. Synthetic Galaxy Clusters and Observations Based on Dark Energy Survey Year 3 Data

Author

Matthew R. Becker, I. Ferrero, Matt J. Jarvis, Yanxi Zhang, B. Flaugher, Scott Dodelson, A. Choi, Enrique Gaztanaga, M. March, M. Carrasco Kind, K. Honscheid, Maria E. S. Pereira, S. Desai, Brian Yanny, David J. Brooks, V. Scarpine, Eli S. Rykoff, Erin Sheldon, Robert Morgan, Joe Zuntz, Antonella Palmese, Sebastian Grandis, M. A. G. Maia, J. Annis, Samuel Hinton, K. Herner, J. Carretero, Alexandra Amon, Sunayana Bhargava, G. Gutierrez, I. Harrison, I. Sevilla-Noarbe, S. Allam, Robert A. Gruendl, R. P. Rollins, E. Suchyta, A. A. Plazas, M. Soares-Santos, G. Tarle, Jochen Weller, J. Myles, N. Kuropatkin, Felipe Menanteau, Kyler Kuehn, K. D. Eckert, T. N. Varga, A. Carnero Rosell, L. N. da Costa, J. McCullough, J. De Vicente, Chun-Hao To, E. J. Sanchez, M. Costanzi, F. Paz-Chinchón, Peter Melchior, Daniel Thomas, S. Everett, M. E. C. Swanson, Stella Seitz, A. K. Romer, Tesla E. Jeltema, W. G. Hartley, S. Serrano, Ramon Miquel, J. P. Dietrich, Juan Garcia-Bellido, Michael Troxel, Michel Aguena, Eduardo Rozo, M. Smith, Daniel Gruen, H. T. Diehl, Niall MacCrann, E. Bertin, J. Gschwend, Gary Bernstein, Michael Schubnell, D. W. Gerdes, Varga, T N, Gruen, D, Seitz, S, Maccrann, N, Sheldon, E, Hartley, W G, Amon, A, Choi, A, Palmese, A, Zhang, Y, Becker, M R, Mccullough, J, Rozo, E, Rykoff, E S, To, C, Grandis, S, Bernstein, G M, Dodelson, S, Eckert, K, Everett, S, Gruendl, R A, Harrison, I, Herner, K, Rollins, R P, Sevilla-Noarbe, I, Troxel, M A, Yanny, B, Zuntz, J, Diehl, H T, Jarvis, M, Aguena, M, Allam, S, Annis, J, Bertin, E, Bhargava, S, Brooks, D, Carnero&nbsp, Rosell, A, Carrasco&nbsp, Kind, M, Carretero, J, Costanzi, M, da&nbsp, Costa, L N, Pereira, M E S, De&nbsp, Vicente, J, Desai, S, Dietrich, J P, Ferrero, I, Flaugher, B, García-Bellido, J, Gaztanaga, E, Gerdes, D W, Gschwend, J, Gutierrez, G, Hinton, S R, Honscheid, K, Jeltema, T, Kuehn, K, Kuropatkin, N, Maia, M A G, March, M, Melchior, P, Menanteau, F, Miquel, R, Morgan, R, Myles, J, Paz-Chinchón, F, Plazas, A A, Romer, A K, Sanchez, E, Scarpine, V, Schubnell, M, Serrano, S, Smith, M, Soares-Santos, M, Suchyta, E, Swanson, M E C, Tarle, G, Thomas, D, Weller, J, UAM. Departamento de Física Teórica, Science and Technology Facilities Council (UK), Agencia Estatal de Investigación (España), Ministerio de Ciencia, Innovación y Universidades (España), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, 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), FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology: Observations, Observations [Cosmology], weak [gravitational lensing], 0103 physical sciences, Cluster (physics), clusters: general [galaxies], 010303 astronomy & astrophysics, Galaxy cluster, Weak gravitational lensing, Astrophysics::Galaxy Astrophysics, Photometric redshift, Physics, 010308 nuclear & particles physics, Gravitational Lensing: Weak, Física, GALÁXIAS, Astronomy and Astrophysics, Redshift, Galaxy, Distribution function, Space and Planetary Science, gravitational lensing: weak, galaxies: clusters: general, cosmology: observations, Astrophysics - Cosmology and Nongalactic Astrophysics, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Galaxies: Clusters: General, observation [cosmology]
Abstract

T. N. Varga et al., We develop a novel data-driven method for generating synthetic optical observations of galaxy clusters. In cluster weak lensing, the interplay between analysis choices and systematic effects related to source galaxy selection, shape measurement, and photometric redshift estimation can be best characterized in end-to-end tests going from mock observations to recovered cluster masses. To create such test scenarios, we measure and model the photometric properties of galaxy clusters and their sky environments from the Dark Energy Survey Year 3 (DES Y3) data in two bins of cluster richness λ∈[30;45) ⁠, λ∈[45;60) and three bins in cluster redshift (⁠z∈[0.3;0.35) ⁠, z∈[0.45;0.5) and z∈[0.6;0.65) ⁠. Using deep-field imaging data, we extrapolate galaxy populations beyond the limiting magnitude of DES Y3 and calculate the properties of cluster member galaxies via statistical background subtraction. We construct mock galaxy clusters as random draws from a distribution function, and render mock clusters and line-of-sight catalogues into synthetic images in the same format as actual survey observations. Synthetic galaxy clusters are generated from real observational data, and thus are independent from the assumptions inherent to cosmological simulations. The recipe can be straightforwardly modified to incorporate extra information, and correct for survey incompleteness. New realizations of synthetic clusters can be created at minimal cost, which will allow future analyses to generate the large number of images needed to characterize systematic uncertainties in cluster mass measurements., This research was supported by the Excellence Cluster ORIGINS which is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strat- egy –EXC-2094-390783311. The calculations have been in part carried out on the computing facilities of the Computational Center for Particle and Astrophysics (C2PAP). This w ork w as 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 P anofsk y Fellowship awarded to DG. 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 Supercomput- ing 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 Te xas A&M Univ ersity, 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 Eidgenossische Technische Hochschule (ETH) Zurich, Fermi National Accelerator Laboratory, the University 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 Na- tional 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 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 Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through project number CE110001020.

Published
2021
Full Text
View/download PDF

14. 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

15. C/2014 UN271(Bernardinelli-Bernstein): The Nearly Spherical Cow of Comets

Author

David J. James, R. Cawthon, H. T. Diehl, Maria E. S. Pereira, Josh Frieman, Ramon Miquel, Y.-H. Zhang, David J. Brooks, D. L. Hollowood, S. Serrano, Enrique Gaztanaga, Benjamin T. Montet, Marcelle Soares-Santos, Robert Weryk, A. Carnero Rosell, G. Tarle, R. L. C. Ogando, E. Bertin, Juan Garcia-Bellido, I. Ferrero, M. Costanzi, J. Carretero, Chun-Hao To, E. J. Sanchez, A. Roodman, Richard J. Wainscoat, A. A. Plazas Malagón, J. Gschwend, Adriano Pieres, M. A. G. Maia, M. Rodriguez-Monroy, Salcedo Romero de Ávila, A. R. Walker, M. Carrasco Kind, B. Flaugher, Gary Bernstein, Samuel Hinton, Robert Morgan, S. Everett, M. N. K. Smith, F. Andrade-Oliveira, G. Gutierrez, J. De Vicente, A. K. Romer, Pedro H. Bernardinelli, K. Kuehn, Michael Troxel, E. Suchyta, Jennifer L. Marshall, J. Annis, Michael Schubnell, O. Lahav, D. L. Burke, S. Allam, Robert A. Gruendl, C. J. Conselice, Michel Aguena, I. Sevilla-Noarbe, N. Kuropatkin, T. N. Varga, L. N. da Costa, Felipe Menanteau, K. Honscheid, M. E. C. Swanson, F. Paz-Chinchón, Daniel Gruen, D. W. Gerdes, National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Generalitat de Catalunya, European Commission, Instituto Nacional de Ciência e Tecnologia (Brasil), UAM. Departamento de Física Teórica, University of Pennsylvania, University of New South Wales, University of Western Ontario, University of Hawaii, Laboratório Interinstitucional de E-Astronomia - LIneA, Fermi National Accelerator Laboratory, Universidade Estadual Paulista (UNESP), Universidad Autonoma de Madrid, Institut d'Astrophysique de Paris, University College London, Stanford University, SLAC National Accelerator Laboratory, National Center for Supercomputing Applications, University of Illinois at Urbana-Champaign, Barcelona Institute of Science and Technology, University of Wisconsin-Madison, University of Manchester, School of Physics and Astronomy, University of Trieste, INAF-Osservatorio Astronomico di Trieste, Institute for Fundamental Physics of the Universe, Observatório Nacional, University of Michigan, Universitat Hamburg, Medioambientales y Tecnológicas (CIEMAT), Santa Cruz Institute for Particle Physics, University of Oslo, University of Chicago, Institut d'Estudis Espacials de Catalunya (IEEC), Institute of Space Sciences (ICE CSIC), Ludwig-Maximilians-Universitat, University of Queensland, Ohio State University, Center for Astrophysics | Harvard and Smithsonian, Macquarie University, Lowell Observatory, Texas A and M University, Institució Catalana de Recerca i Estudis Avancats, University of Cambridge, Peyton Hall, University of Sussex, University of Southampton, Oak Ridge National Laboratory, 382 Via Pueblo Mall, Duke University, Max Planck Institute for Extraterrestrial Physics, Ludwig-Maximilians Universitat München, NSF's National Optical-Infrared Astronomy Research Laboratory, Bernardinelli, P. H., Bernstein, G. M., Montet, B. T., Weryk, R., Wainscoat, R., Aguena, M., Allam, S., Andrade-Oliveira, F., Annis, J., Avila, S., Bertin, E., Brooks, D., Burke, D. L., Carnero Rosell, A., Kind, M. C., Carretero, J., Cawthon, R., Conselice, C., Costanzi, M., Da Costa, L. N., Pereira, M. E. S., De Vicente, J., Diehl, H. T., Everett, S., Ferrero, I., Flaugher, B., Frieman, J., Garcia-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., Kuehn, K., Kuropatkin, N., Lahav, O., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Morgan, R., Ogando, R. L. C., Paz-Chinchon, F., Pieres, A., Malagon, A. A. P., Rodriguez-Monroy, M., Romer, A. K., Roodman, A., Sanchez, E., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., To, C., Troxel, M. A., Varga, T. N., Walker, A. R., and Zhang, Y.

Subjects
Rotation period, Absolute magnitude, Brightness, Long period comets, Small Solar System bodies, Comet nuclei, Comet dynamics, Comet origins, 933, 1469, 2160, 2213, 2203, Astrophysics - Earth and Planetary Astrophysics, Comet, FOS: Physical sciences, Astrophysics, 01 natural sciences, Comet origin, Long Period Comets (933), Geometric albedo, 0103 physical sciences, Comet Nuclei (2160), Surface brightness, 010303 astronomy & astrophysics, Earth and Planetary Astrophysics (astro-ph.EP), Physics, Long period comet, Small Solar System Bodies (1469), 05 social sciences, Uranus, 050301 education, Física, Astronomy and Astrophysics, Comet dynamic, Radiative equilibrium, Small Solar System bodie, Comet Dynamics (2213), Comet Origins (2203), Space and Planetary Science, 0503 education
Abstract

Comet C/2014 UN271 (Bernardinelli-Bernstein), incoming from the Oort cloud, is remarkable in having the brightest (and presumably largest) nucleus of any well-measured comet and having been discovered at the heliocentric distance r h ≈ 29 au, farther than any Oort cloud comet. In this work, we describe the discovery process and observations and the properties that can be inferred from images recorded until the first reports of activity in 2021 June. The orbit has i = 95°, with a perihelion of 10.97 au to be reached in 2031 and a previous aphelion at 40,400 ± 260 au. Backward integration of the orbit under a standard Galactic tidal model and known stellar encounters suggests a perihelion of q ≈ 18 au on its previous perihelion passage 3.5 Myr ago; hence, the current data could be the first ever obtained of a comet that has not been inside Uranus's orbit in 4 Gyr. The photometric data show an unresolved nucleus with absolute magnitude H r = 8.0, colors that are typical of comet nuclei or Damocloids, and no secular trend as it traversed the range 34-23 au. For the r-band geometric albedo p r , this implies a diameter of km. There is strong evidence of brightness fluctuations at the ±0.2 mag level, but no rotation period can be discerned. A coma, nominally consistent with a "stationary"1/ρ surface brightness distribution, grew in scattering cross section at an exponential rate from A f ρ ≈ 1 to ≈150 m as the comet approached from 28 to 20 au. The activity rate is consistent with a very simple model of sublimation of a surface species in radiative equilibrium with the Sun. The inferred enthalpy of sublimation matches those of CO2 and NH3. More volatile species, such as N2, CH4, and CO, must be far less abundant on the sublimating surfaces., 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 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

16. 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

17. The Information Content of Projected Galaxy Fields

Author

Abigail Lee, Robert E. Smith, Lucas Porth, and Gary Bernstein

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Space and Planetary Science, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

The power spectrum of the nonlinearly evolved large-scale mass distribution recovers only a minority of the information available on the mass fluctuation amplitude. We investigate the recovery of this information in 2D "slabs" of the mass distribution averaged over $\approx100$~$h^{-1}$Mpc along the line of sight, as might be obtained from photometric redshift surveys. We demonstrate a Hamiltonian Monte Carlo (HMC) method to reconstruct the non-Gaussian mass distribution in slabs, under the assumption that the projected field is a point-transformed Gaussian random field, Poisson-sampled by galaxies. When applied to the \textit{Quijote} $N$-body suite at $z=0.5$ and at a transverse resolution of 2~$h^{-1}$Mpc, the method recovers $\sim 30$ times more information than the 2D power spectrum in the well-sampled limit, recovering the Gaussian limit on information. At a more realistic galaxy sampling density of $0.01$~$h^3$Mpc$^{-3}$, shot noise reduces the information gain to a factor of 5 improvement over the power spectrum at resolutions of 4~$h^{-1}$Mpc or smaller., Comment: 13 pages, 11 figures. Matches published version

Published
2021
Full Text
View/download PDF

18. Probing gravity with the DES-CMASS sample and BOSS spectroscopy

Author

Carlos Solans Sanchez, Alexandra Amon, Jack Elvin-Poole, Felipe Menanteau, Michael Schubnell, Dragan Huterer, S. Lee, Antonella Palmese, S. Everett, David J. Brooks, M. A. G. Maia, V. Scarpine, Daniel Thomas, Joseph J. Mohr, Erin Sheldon, Adriano Pieres, M. March, David J. James, M. Costanzi, F. Paz-Chinchón, Josh Frieman, Samuel Hinton, Vivian Miranda, Pablo Fosalba, J. DeRose, E. Suchyta, G. Gutierrez, M. Smith, Jennifer L. Marshall, August E. Evrard, Ashley J. Ross, Daniel Gruen, G. Tarle, E. M. Huff, P. Lemos, K. Honscheid, Ami Choi, Ben Hoyle, Ramon Miquel, Michel Aguena, J. Muir, D. W. Gerdes, J. De Vicente, I. Sevilla-Noarbe, Enrique Gaztanaga, L. F. Secco, N. Weaverdyck, A. Chen, Christopher J. Conselice, Maria E. S. Pereira, S. Samuroff, W. G. Hartley, J. Carretero, Marco Raveri, Hui Kong, J. P. Dietrich, Juan Garcia-Bellido, R. Cawthon, Christopher M. Hirata, I. Ferrero, N. Kuropatkin, P. Vielzeuf, Tim Eifler, C. D. Leonard, M. Carrasco Kind, F. Andrade-Oliveira, D. L. Burke, A. A. Plazas Malagón, T. N. Varga, Adam Amara, S. Allam, Robert A. Gruendl, M Gatti, L. N. da Costa, Ofer Lahav, Robert Morgan, M. E. C. Swanson, J. Prat, Marcos Lima, D. L. Hollowood, S. Serrano, A. Campos, C. Davis, J. Gschwend, A. Roodman, Tommaso Giannantonio, Gary Bernstein, Peter Doel, A. Carnero Rosell, H. T. Diehl, Kyler Kuehn, Niall MacCrann, Agnès Ferté, E. Bertin, Joe Zuntz, Markus Rau, Jonathan Blazek, Sarah Bridle, Scott Dodelson, S. Desai, Michael Troxel, Jochen Weller, F. J. Castander, Chun-Hao To, 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, Department of Energy (US), National Science Foundation (US), Ministerio de Ciencia, Innovación y Universidades (España), Agencia Estatal de Investigación (España), Generalitat de Catalunya, European Commission, Alfred P. Sloan Foundation, Ministerio de Economía y Competitividad (España), Lee, S, Huff, E M, Choi, A, Elvin-Poole, J, Hirata, C, Honscheid, K, Maccrann, N, Ross, A J, Troxel, M A, Eifler, T F, Kong, H, Ferté, A, Blazek, J, Huterer, D, Amara, A, Campos, A, Chen, A, Dodelson, S, Lemos, P, Leonard, C D, Miranda, V, Muir, J, Raveri, M, Secco, L F, Weaverdyck, N, Zuntz, J, Bridle, S L, Davis, C, Derose, J, Gatti, M, Prat, J, Rau, M M, Samuroff, S, Sánchez, C, Vielzeuf, P, Aguena, M, Allam, S, Amon, A, Andrade-Oliveira, F, Bernstein, G M, Bertin, E, Brooks, D, Burke, D L, Rosell, A Carnero, Carrasco&nbsp, Kind, M, Carretero, J, Castander, F J, Cawthon, R, Conselice, C, Costanzi, M, da&nbsp, Costa, L N, Pereira, M E S, De&nbsp, Vicente, J, Desai, S, Diehl, H T, Dietrich, J P, Doel, P, Everett, S, Evrard, A E, Ferrero, I, Fosalba, P, Frieman, J, García-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, Hoyle, B, James, D J, Kuehn, K, Kuropatkin, N, Lahav, O, Lima, M, Maia, M A G, March, M, Marshall, J L, Menanteau, F, Miquel, R, Mohr, J J, Morgan, R, Palmese, A, Paz-Chinchón, F, Pieres, A, Malagón, A A Plaza, Roodman, A, Sanchez, E, Scarpine, V, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Sheldon, E, Smith, M, Suchyta, E, Swanson, M E C, Tarle, G, Thomas, D, To, C, Varga, T N, and Weller, J

Subjects
gravitation: model, Astrophysics, baryon: oscillation: acoustic, 01 natural sciences, DESI, large scales, cosmological model: parameter space, general relativity, LENTES GRAVITACIONAIS, cluster, dark energy, 010303 astronomy & astrophysics, Weak gravitational lensing, Physics, cosmological parameters, gravitational lensing, large-scale structure of the Universe, Astrophysics - Cosmology and Nongalactic Astrophysics, symbols, cfhtlens, cosmological parameter, satellite: Planck, Cosmology and Nongalactic Astrophysics (astro-ph.CO), General relativity, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, tomography, efficient, symbols.namesake, redshift-space distortions, statistical analysis, gravitation: lens, 0103 physical sciences, overlap, structure, Planck, dark energy survey, Astrophysics::Galaxy Astrophysics, 010308 nuclear & particles physics, Astronomy and Astrophysics, cross-correlation, redshift, Redshift, Galaxy, testing gravity, Baryon, Boss, Space and Planetary Science, Dark energy, galaxy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], cosmology
Abstract

DES Collaboration: et al., The DES-CMASS sample (DMASS) is designed to optimally combine the weak lensing measurements from the Dark Energy Survey (DES) and redshift-space distortions (RSD) probed by the CMASS galaxy sample from the Baryonic Oscillation Spectroscopic Survey. In this paper, we demonstrate the feasibility of adopting DMASS as the equivalent of CMASS for a joint analysis of DES and BOSS in the framework of modified gravity. We utilize the angular clustering of the DMASS galaxies, cosmic shear of the DES METACALIBRATION sources, and cross-correlation of the two as data vectors. By jointly fitting the combination of the data with the RSD measurements from the CMASS sample and Planck data, we obtain the constraints on modified gravity parameters μ0=−0.37+0.47−0.45 and Σ0=0.078+0.078−0.082⁠. Our constraints of modified gravity with DMASS are tighter than those with the DES Year 1 REDMAGIC sample with the same external data sets by 29 per cent for μ0 and 21 per cent for Σ0, and comparable to the published results of the DES Year 1 modified gravity analysis despite this work using fewer external data sets. This improvement is mainly because the galaxy bias parameter is shared and more tightly constrained by both CMASS and DMASS, effectively breaking the degeneracy between the galaxy bias and other cosmological parameters. Such an approach to optimally combine photometric and spectroscopic surveys using a photometric sample equivalent to a spectroscopic sample can be applied to combining future surveys having a limited overlap such as DESI and LSST., AC acknowledges support from NASA grant no. 15-WFIRST15-0008. During the preparation of this paper, C.H. was supported by the Simons Foundation, NASA, and the U.S. Department of Energy. 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). 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. Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science.

Published
2021
Full Text
View/download PDF

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. Managing at a Distance : A Manager’s Guide to the Challenges of the Hybrid and Remote World

Author

Tom Coughlan, David J. Fogarty, Gary Bernstein, Lynda Wilson, Tom Coughlan, David J. Fogarty, Gary Bernstein, and Lynda Wilson

Subjects
Telecommuting--Management, Virtual work teams--Management
Abstract

The world of hybrid and remote management is a territory that has yet to be completely explored—this book provides some simple navigational aids to help managers and leaders find their way.Research indicates that over 56% of college graduates currently work either remotely or in a hybrid arrangement, while prior to the pandemic, less than 5% of working hours were remote. How to manage remote and hybrid workers has rapidly become a significant challenge, and one that often requires new policies and organizational restructuring. The remote work handbooks available are tactical, which can be helpful for day-to-day decisions but not to tackle larger issues and initiatives. This book presents a fully formed, research-backed strategic framework: more than a vehicle to the future, it will help leaders to understand where they are now and what is happening around them to change the landscape, and to decide where they want to be.Speaking to senior executives and team leaders, as well as business students, this book will become the preferred tool for the development and evaluation of remote and hybrid management policy and strategy across industries.

Published
2024

22. Blinding multiprobe cosmological experiments

Author

Michael Troxel, Matt J. Jarvis, Kyler Kuehn, I. Sevilla-Noarbe, Tim Eifler, Josh Frieman, N. Kuropatkin, G. Tarle, Jochen Weller, Shantanu Desai, J. Gschwend, Alistair R. Walker, Gary Bernstein, W. G. Hartley, L. N. da Costa, M. Smith, Ramon Miquel, W. C. Wester, Peter Melchior, Daniel Gruen, E. J. Sanchez, Michael Schubnell, David J. James, A. A. Plazas, Felipe Menanteau, Elisabeth Krause, Pablo Fosalba, R. Cawthon, Antonella Palmese, Keith Bechtol, E. Bertin, D. L. Burke, J. Carretero, Santiago Avila, Daniel Thomas, D. W. Gerdes, E. Buckley-Geer, F. Elsner, Peter Doel, S. Allam, Robert A. Gruendl, V. Scarpine, Joe Zuntz, F. Paz-Chinchón, M. Carrasco Kind, A. Carnero Rosell, A. K. Romer, M. Costanzi, J. Muir, R. L. C. Ogando, Dragan Huterer, J. P. Dietrich, Juan Garcia-Bellido, J. Annis, David J. Brooks, Jennifer L. Marshall, Ofer Lahav, E. Suchyta, J. De Vicente, A. Roodman, M. March, D. L. Hollowood, S. Serrano, S. Everett, 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, Muir, J., Bernstein, G. M., Huterer, D., Elsner, F., Krause, E., Roodman, A., Allam, S., Annis, J., Avila, S., Bechtol, K., Bertin, E., Brooks, D., Buckley-Geer, E., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Cawthon, R., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Dietrich, J. P., Doel, P., Eifler, T. F., Everett, S., Fosalba, P., Frieman, J., García-Bellido, J., Gerdes, D. W., Gruen, D., Gruendl, R. A., Gschwend, J., Hartley, W. G., Hollowood, D. L., James, D. J., Jarvis, M., Kuehn, K., Kuropatkin, N., Lahav, O., March, M., Marshall, J. L., Melchior, P., 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., Tarle, G., Thomas, D., Troxel, M. A., Walker, A. R., Weller, J., Wester, W., Zuntz, J., and Des, Collaboration

Subjects
Accuracy and precision, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Blinding, statistical [methods], FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, methods: numerical, 0103 physical sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Cluster analysis, Instrumentation and Methods for Astrophysics (astro-ph.IM), 010303 astronomy & astrophysics, Weak gravitational lensing, Physics, methods: statistical, 010308 nuclear & particles physics, Estimation theory, Astronomy and Astrophysics, numerical [methods], methods: data analysis, Galaxy, Space and Planetary Science, cosmology: observations, data analysi [methods], Dark energy, astro-ph.CO, large-scale structure of Universe, Astrophysics - Instrumentation and Methods for Astrophysics, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Algorithm, Astrophysics - Cosmology and Nongalactic Astrophysics, observation [cosmology], astro-ph.IM
Abstract

The goal of blinding is to hide an experiment's critical results -- here the inferred cosmological parameters -- until all decisions affecting its analysis have been finalised. This is especially important in the current era of precision cosmology, when the results of any new experiment are closely scrutinised for consistency or tension with previous results. In analyses that combine multiple observational probes, like the combination of galaxy clustering and weak lensing in the Dark Energy Survey (DES), it is challenging to blind the results while retaining the ability to check for (in)consistency between different parts of the data. We propose a simple new blinding transformation that works by modifying the summary statistics that are input to parameter estimation, such as two-point correlation functions. The transformation shifts the measured statistics to new values that are consistent with (blindly) shifted cosmological parameters, while preserving internal (in)consistency. We apply the blinding transformation to simulated data for the projected DES Year 3 galaxy clustering and weak lensing analysis, demonstrating that practical blinding is achieved without significant perturbation of internal-consistency checks, as measured here by degradation of the $\chi^2$ between data and best-fitting model. Our blinding method conserves $\chi^2$ more precisely as experiments evolve to higher precision., Comment: 18 pages, 13 figures, data available upon request. Updated to match published version

Published
2020

23. The Dark Energy Survey and Operations: Year 6 – The Finale

Author

Johnson, Douglas L. Tucker, Dragan Huterer, Alyssa Garcia, K. Bechtol, M.R. Kirby, Marcelle Soares-Santos, David J. James, Eric H. Neilsen, A. Lathrop, Sunayana Bhargava, Tianjun Li, Robert Morgan, Travis Prochaska, A. A. Plazas, A. Troja, Jennifer L. Marshall, Q. Wang, T.A. Hutchinson, S. Everett, L. Markwardt, R. D. Wilkinson, Kevin Reil, B. Yanny, Z. Zhang, R. Sgeir, Bhuvnesh Jain, K. Herner, J. A. Smith, J. DeRose, J. Muir, A. R. Walker, Salcedo Romero de Ávila, E. Wagoner, Yi Chen, A. K. Vivas, P. Martini, K. Honscheid, T. M. C. Abbott, Don Petravick, Alexandra Amon, Alfredo Zenteno, B. Flaugher, Gary Bernstein, Antonella Palmese, R. G. Kron, Steve Kent, A. Chen, S. Allam, Robert A. Gruendl, M. Murphy, N. Weaverdyck, H. T. Diehl, F. Paz-Chinchón, M. S. S. Gill, Daniel Gruen, Y.-H. Zhang, C. E. Martínez-Vázquez, D. J. Turner, N. Kuropatkin, Josh Frieman, L. N. da Costa, D. L. Hollowood, and Antonio Campos

Subjects
Telescope, Supernova, Observatory, law, Dark energy, Environmental science, Astronomy, Baryon acoustic oscillations, Galaxy cluster, Weak gravitational lensing, Metric expansion of space, law.invention
Abstract

The Dark Energy Survey (DES) is an optical and near-infrared imaging survey aimed at understanding the accelerating expansion of the universe using four complementary methods: weak gravitational lensing, galaxy cluster counts, baryon acoustic oscillations, and Type Ia supernovae. To perform the 6-season 5000 sq-degree wide field and the 5-season 30 sq-degree supernova surveys, the DES Collaboration built the Dark Energy Camera (DECam), a 3 square-degree, 570-Megapixel CCD camera that was installed at the prime focus of the Blanco 4-meter telescope at the Cerro Tololo Inter-American Observatory (CTIO). DES started its observations in “Year 1” (Y1) on Aug. 31, 2013 and completed its sixth and final observing season on January 9, 2019. This paper describes DES Y6, the survey strategy, an outline of the survey operations procedures, the efficiency of operations and the causes of lost observing time. It provides details about the quality of the final season's data, and a summary of the Y1-Y6 observing. It contains a brief description of the last night of observations.

Published
2020

24. Perturbation theory for modeling galaxy bias: Validation with simulations of the Dark Energy Survey

Author

Ramon Miquel, Elisabeth Krause, Martin Crocce, I. Ferrero, A. Roodman, M. E. C. Swanson, J. DeRose, E. Suchyta, D. L. Burke, S. Serrano, Niall MacCrann, J. Annis, Jochen Weller, Felipe Menanteau, Bhuvnesh Jain, Xiao Fang, M. Costanzi, A. Carnero Rosell, Jack Elvin-Poole, G. Tarle, Jennifer L. Marshall, S. Allam, Robert A. Gruendl, Josh Frieman, M. Carrasco Kind, K. Honscheid, Juan Garcia-Bellido, Michael Schubnell, F. Paz-Chinchón, S. Pandey, Oliver Friedrich, J. Gschwend, A. A. Plazas, J. Carretero, M. Smith, Antonella Palmese, Michel Aguena, Daniel Gruen, Gary Bernstein, M. A. G. Maia, Pablo Fosalba, V. Scarpine, S. Everett, David J. Brooks, E. J. Sanchez, Shantanu Desai, Jonathan Blazek, G. Gutierrez, Santiago Avila, J. De Vicente, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, Kyler Kuehn, L. N. da Costa, Pandey, S., Krause, E., Jain, B., Maccrann, N., Blazek, J., Crocce, M., Derose, J., Fang, X., Ferrero, I., Friedrich, O., Aguena, M., Allam, S., Annis, J., Avila, S., Bernstein, G. M., Brooks, D., Burke, D. L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Costanzi, M., da Costa, L. N., De Vicente, J., Desai, S., Elvin-Poole, J., Everett, S., Fosalba, P., Frieman, J., García-Bellido, J., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Honscheid, K., Kuehn, K., Kuropatkin, N., Maia, M. A. G., Marshall, J. L., Menanteau, F., Miquel, R., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Swanson, M. E. C., Tarle, G., Weller, J., and Des, Collaboration

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), challenge lightcone simulation, growth, FOS: Physical sciences, Scale (descriptive set theory), Astrophysics::Cosmology and Extragalactic Astrophysics, power spectrum, estimators, 01 natural sciences, Measure (mathematics), evolution, 0103 physical sciences, Astrophysics - Cosmology and Nongalactic Astrophysic, Statistical physics, Perturbation theory, 010306 general physics, Astrophysics::Galaxy Astrophysics, Physics, survey cosmological implications, 010308 nuclear & particles physics, Matter power spectrum, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Astrophysics of Galaxies, halo occupation distribution, Galaxy, Nonlinear system, Astrophysics of Galaxies (astro-ph.GA), Dark energy, Configuration space, constraints
Abstract

We describe perturbation theory (PT) models of galaxy bias for applications to photometric galaxy surveys. We model the galaxy-galaxy and galaxy-matter correlation functions in configuration space and validate against measurements from mock catalogs designed for the Dark Energy Survey (DES). We find that an effective PT model with five galaxy bias parameters provides a good description of the 3D correlation functions above scales of 4 Mpc/$h$ and $z < 1$. Our tests show that at the projected precision of the DES-Year 3 analysis, two of the non-linear bias parameters can be fixed to their co-evolution values, and a third (the $k^2$ term for higher derivative bias) set to zero. The agreement is typically at the 2 percent level over scales of interest, which is the statistical uncertainty of our simulation measurements. To achieve this level of agreement, our {\it fiducial} model requires using the full non-linear matter power spectrum (rather than the 1-loop PT one). We also measure the relationship between the non-linear and linear bias parameters and compare them to their expected co-evolution values. We use these tests to motivate the galaxy bias model and scale cuts for the cosmological analysis of the Dark Energy Survey; our conclusions are generally applicable to all photometric surveys., 19 pages, 14 figures, 1 table

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
Full Text
View/download PDF

26. Trans-Neptunian Objects Found in the First Four Years of the Dark Energy Survey

Author

B. Flaugher, A. R. Walker, M. Carrasco Kind, Gary Bernstein, N. P. Kuropatkin, F. Paz-Chinchón, Carlos Solans Sanchez, Pedro H. Bernardinelli, Eli S. Rykoff, D. L. Burke, David James, Matthew Belyakov, William Wester, Larissa Markwardt, Hsing Wen Lin, Aditya Inada Somasundaram, P. Doel, A. K. Romer, Kyle Franson, Kevin Napier, J. De Vicente, M. Smith, Robert A. Gruendl, Juliette C. Becker, E. Suchyta, Tali Khain, M. E. C. Swanson, D. Gruen, Tongtian Liu, L. N. da Costa, T. M. C. Abbott, G. Gutierrez, V. Scarpine, Fred C. Adams, Ramon Miquel, William R. Saunders, D. W. Gerdes, H. T. Diehl, S. Desai, A. A. Plazas, Flavia Sobreira, Jennifer Locke, G. Tarle, I. Sevilla-Noarbe, Lakshay Sharma, M. W. G. Johnson, Santiago Avila, Elisabeth Krause, S. Everett, Francisco J. Castander, M. March, James Annis, Masao Sako, J. Gschwend, Devon L. Hollowood, E. J. Sanchez, D. Brooks, A. Carnero Rosell, M. A. G. Maia, Michael D. Johnson, D. J. Brout, Yanxi Zhang, Santiago Serrano, Juan Garcia-Bellido, National Science Foundation (US), National Aeronautics and Space Administration (US), Department of Energy (US), Ministerio de Ciencia e Innovación (España), Science and Technology Facilities Council (UK), University of Illinois, University of Chicago, 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 das Fundaçôes Estaduais de Amparo à Pesquisa (Brasil), Ministério da Ciência, Tecnologia e Inovação (Brasil), German Research Foundation, University of Pennsylvania, Ministerio de Economía y Competitividad (España), European Commission, and Australian Research Council

Subjects
010504 meteorology & atmospheric sciences, Trans-Neptunian objects, media_common.quotation_subject, FOS: Physical sciences, Astrophysics, 01 natural sciences, 7. Clean energy, Orbit determination, 0103 physical sciences, Trans-Neptunian object, 010303 astronomy & astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), 0105 earth and related environmental sciences, media_common, Physics, Earth and Planetary Astrophysics (astro-ph.EP), Astronomy and Astrophysics, Transient detection, Orbit, 13. Climate action, Space and Planetary Science, Sky, Magnitude (astronomy), Dark energy, Astronomy data analysis, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

We present a catalog of 316 trans-Neptunian bodies (TNOs) detected from the first four seasons ("Y4"data) of the Dark Energy Survey (DES). The survey covers a contiguous 5000 deg2 of the southern sky in the grizY optical/NIR filter set, with a typical TNO in this part of the sky being targeted by 25-30 Y4 exposures. This paper focuses on the methods used to detect these objects from the ≈60,000 Y4 exposures, a process made challenging by the absence of the few-hour repeat observations employed by TNO-optimized surveys. Newly developed techniques include: transient/moving object detection by comparison of single-epoch catalogs to catalogs of "stacked"images; quantified astrometric error from atmospheric turbulence; new software for detecting TNO linkages in a temporally sparse transient catalog, and for estimating the rate of spurious linkages; use of faint stars to determine the detection efficiency versus magnitude in all exposures. Final validation of the reality of linked orbits uses a new "sub-threshold confirmation"test, wherein we demand the object be detectable in a stack of the exposures in which the orbit indicates an object should be present, but was not individually detected. This catalog contains all validated TNOs which were detected on ≥6 unique nights in the Y4 data, and is complete to r ≲ 23.3 mag with virtually no dependence on orbital properties for bound TNOs at distance 30 au < d < 2500 au. The catalog includes 245 discoveries by DES, 139 not previously published. The final DES TNO catalog is expected to yield >0.3 mag more depth, and arcs of >4 yr for nearly all detections., University of Pennsylvania authors have been supported in this work by grants AST-1515804 and AST-1615555 from the National Science Foundation, and grant DE-SC0007901 from the Department of Energy. Work at University of Michigan is supported by the National Aeronautics and Space Administration under grant No. NNX17AF21G issued through the SSO Planetary Astronomy Program and NSF Graduate Research Fellowship grant No. DGE 1256260. 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 UrbanaChampaign, 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, the National Optical-Infrared 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 InterAmerican Observatory, National Optical-Infrared 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 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). 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 nonexclusive, 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. 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. This research has made use of data and/or services provided by the International Astronomical Union’s Minor Planet Center (MPC). The authors thank Gareth Williams for assistance in the MPC object submission process.

Published
2020

27. The impact of spectroscopic incompleteness in direct calibration of redshift distributions for weak lensing surveys

Author

Marcos Lima, J. Gschwend, J. DeRose, E. Suchyta, Gary Bernstein, Peter Melchior, R. Cawthon, D. L. Burke, A. Roodman, Felipe Menanteau, Michael Schubnell, David J. James, Joshua A. Frieman, I. Sevilla-Noarbe, Antonella Palmese, R. Miquel, S. Samani, Ofer Lahav, Pablo Fosalba, M. A. G. Maia, W. G. Hartley, M. Smith, J. Carretero, D. L. Hollowood, N. Kuropatkin, David J. Brooks, T. N. Varga, Tamara M. Davis, Jochen Weller, Samuel Hinton, F. J. Castander, Eli S. Rykoff, Risa H. Wechsler, M. Carrasco Kind, Daniel Gruen, L. N. da Costa, Jacobo Asorey, H. T. Diehl, J. Annis, S. Allam, Robert A. Gruendl, G. Gutierrez, S. Serrano, A. Carnero Rosell, R. L. C. Ogando, Elisabeth Krause, T. M. C. Abbott, V. Scarpine, Markus Rau, K. Honscheid, E. Bertin, E. J. Sanchez, Jennifer L. Marshall, A. L. King, Enrique Gaztanaga, D. W. Gerdes, Ben Hoyle, C. Lidman, Michel Aguena, S. Kent, A. A. Plazas, F. Paz-Chinchón, Sarah Bridle, Santiago Avila, L. Whiteway, Chihway Chang, Douglas L. Tucker, Kyler Kuehn, S. Desai, G. Tarle, Marcelle Soares-Santos, Michael Troxel, M. Costanzi, B. Flaugher, R. D. Wilkinson, J. P. Dietrich, Juan Garcia-Bellido, 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, European Research Council, Generalitat de Catalunya, Hartley, W. G., Chang, C., Samani, S., Carnero Rosell, A., Davis, T. M., Hoyle, B., Gruen, D., Asorey, J., Gschwend, J., Lidman, C., Kuehn, K., King, A., Rau, M. M., Wechsler, R. H., Derose, J., Hinton, S. R., Whiteway, L., Abbott, T. M. C., Aguena, M., Allam, S., Annis, J., Avila, S., Bernstein, G. M., Bertin, E., Bridle, S. L., Brooks, D., Burke, D. L., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Costanzi, M., da Costa, L. N., Desai, S., Diehl, H. T., Dietrich, J. P., Flaugher, B., Fosalba, P., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Gruendl, R. A., Gutierrez, G., Hollowood, D. L., Honscheid, K., James, D. J., Kent, S., Krause, E., Kuropatkin, N., Lahav, O., Lima, M., Maia, M. A. G., Marshall, J. L., Melchior, P., Menanteau, F., Miquel, R., Ogando, R. L. C., Palmese, A., Paz-Chinchón, F., Plazas, A. A., Roodman, A., Rykoff, E. S., Sanchez, E., Scarpine, V., Schubnell, M., Serrano, S., Sevilla-Noarbe, I., Smith, M., Soares-Santos, M., Suchyta, E., Tarle, G., Troxel, M. A., Tucker, D. L., Varga, T. N., Weller, J., Wilkinson, R. D., and Des, Collaboration

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Software_OPERATINGSYSTEMS, ComputingMethodologies_SIMULATIONANDMODELING, media_common.quotation_subject, Large-scale structure of universe, FOS: Physical sciences, Astrophysics, Data_CODINGANDINFORMATIONTHEORY, Astrophysics::Cosmology and Extragalactic Astrophysics, distance scale, 01 natural sciences, Cosmology, Photometry (optics), gravitational lensing: weak, statistics [Galaxies], Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, distances and redshifts [Galaxies], Hardware_INTEGRATEDCIRCUITS, distances and redshift [galaxies], statistic [galaxies], 010303 astronomy & astrophysics, Weak gravitational lensing, galaxies: statistics, media_common, Selection bias, Physics, galaxies: distances and redshifts, large-scale structure of Universe, Astrophysics - Astrophysics of Galaxies, Astrophysics - Cosmology and Nongalactic Astrophysics, 010308 nuclear & particles physics, Astronomy and Astrophysics, ComputerSystemsOrganization_PROCESSORARCHITECTURES, Galaxy, Redshift, Weighting, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Dark energy, weak [Gravitational lensing], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

DES Collaboration: et al., Obtaining accurate distributions of galaxy redshifts is a critical aspect of weak lensing cosmology experiments. One of the methods used to estimate and validate redshift distributions is to apply weights to a spectroscopic sample, so that their weighted photometry distribution matches the target sample. In this work, we estimate the selection bias in redshift that is introduced in this procedure. We do so by simulating the process of assembling a spectroscopic sample (including observer-assigned confidence flags) and highlight the impacts of spectroscopic target selection and redshift failures. We use the first year (Y1) weak lensing analysis in Dark Energy Survey (DES) as an example data set but the implications generalize to all similar weak lensing surveys. We find that using colour cuts that are not available to the weak lensing galaxies can introduce biases of up to Δz ∼ 0.04 in the weighted mean redshift of different redshift intervals (Δz ∼ 0.015 in the case most relevant to DES). To assess the impact of incompleteness in spectroscopic samples, we select only objects with high observer-defined confidence flags and compare the weighted mean redshift with the true mean. We find that the mean redshift of the DES Y1 weak lensing sample is typically biased at the Δz = 0.005−0.05 level after the weighting is applied. The bias we uncover can have either sign, depending on the samples and redshift interval considered. For the highest redshift bin, the bias is larger than the uncertainties in the other DES Y1 redshift calibration methods, justifying the decision of not using this method for the redshift estimations. We discuss several methods to mitigate this bias., 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 MDM2015-0509, 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).

Published
2020

28. Dark Energy Survey Year 1 Results: Constraining Baryonic Physics in the Universe

Author

Samuel Hinton, Elisabeth Krause, G. Gutierrez, Matthew R. Becker, Jochen Weller, David James, Matias Carrasco Kind, Marcelle Soares-Santos, E. Rozo, Timothy M. C. Abbott, Rachel Mandelbaum, James Annis, Aurelio Carnero Rosell, Ramon Miquel, Molly E. C. Swanson, D. L. Burke, Dragan Huterer, Hung Jin Huang, Robert A. Gruendl, Pablo Fosalba, E. J. Sanchez, Gary Bernstein, Andrés Plazas Malagón, Ofer Lahav, A. Roodman, Jennifer L. Marshall, C. Sánchez, Will Hartley, Judit Prat, Emmanuel Bertin, K. Romer, Francisco J. Castander, Mathew Smith, Michel Aguena, Santiago Serrano, B. Flaugher, Xiao Fang, I. Sevilla, Marcio A. G. Maia, V. Scarpine, Vivian Miranda, M. Gatti, Josh Frieman, Juan de Vicente, Jack Elvin-Poole, Peter Doel, Mike Jarvis, David J. Brooks, Enrique Gaztanaga, Tim Eifler, Anqi Chen, Luiz N. da Costa, F. Paz-Chinchón, Niall MacCrann, Diehl H. Thomas, Daniel Gruen, Simon Samuroff, J. DeRose, E. Suchyta, Ami Choi, Ben Hoyle, J. Carretero, J. P. Dietrich, Juan Garcia-Bellido, Oliver Friedrich, K. Honscheid, Felipe Menanteau, Gregory Tarle, S. Everett, Sukhdeep Singh, Markus Rau, Michael Troxel, Marcos Lima, Kyler Kuehn, Sarah Bridle, Santiago Avila, Joe Zuntz, 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, and National Aeronautics and Space Administration (US)

Subjects
Particle physics, Large-Scale Structure of Universe, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cosmic microwave background, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 7. Clean energy, 01 natural sciences, Cosmology, symbols.namesake, cosmology: theory, 0103 physical sciences, Planck, cosmological parameters, 010303 astronomy & astrophysics, Weak gravitational lensing, Physics, 010308 nuclear & particles physics, Física, Astronomy and Astrophysics, Galaxy, Baryon, 13. Climate action, Space and Planetary Science, symbols, Dark energy, Theory [Cosmology], Cosmological Parameters, Baryon acoustic oscillations, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Measurements of large-scale structure are interpreted using theoretical predictions for the matter distribution, including potential impacts of baryonic physics. We constrain the feedback strength of baryons jointly with cosmology using weak lensing and galaxy clustering observables (3$\times$2pt) of Dark Energy Survey (DES) Year 1 data in combination with external information from baryon acoustic oscillations (BAO) and Planck cosmic microwave background polarization. Our baryon modeling is informed by a set of hydrodynamical simulations that span a variety of baryon scenarios; we span this space via a Principal Component (PC) analysis of the summary statistics extracted from these simulations. We show that at the level of DES Y1 constraining power, one PC is sufficient to describe the variation of baryonic effects in the observables, and the first PC amplitude ($Q_1$) generally reflects the strength of baryon feedback. With the upper limit of $Q_1$ prior being bound by the Illustris feedback scenarios, we reach $\sim 20\%$ improvement in the constraint of $S_8=\sigma_8(\Omega_{\rm m}/0.3)^{0.5}=0.788^{+0.018}_{-0.021}$ compared to the original DES 3$\times$2pt analysis. This gain is driven by the inclusion of small-scale cosmic shear information down to 2.5 arcmin, which was excluded in previous DES analyses that did not model baryonic physics. We obtain $S_8=0.781^{+0.014}_{-0.015}$ for the combined DES Y1+Planck EE+BAO analysis with a non-informative $Q_1$ prior. In terms of the baryon constraints, we measure $Q_1=1.14^{+2.20}_{-2.80}$ for DES Y1 only and $Q_1=1.42^{+1.63}_{-1.48}$ for DESY1+Planck EE+BAO, allowing us to exclude one of the most extreme AGN feedback hydrodynamical scenario at more than $2 \sigma$., Comment: 22 pages, 18 figures, 2 tables. accepted to MNRAS. A brief video summary of this paper is available at https://www.youtube.com/watch?v=QbeNwk5papU

Published
2020
Full Text
View/download PDF

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. First Cosmology Results using Supernovae Ia from the Dark Energy Survey: Survey Overview, Performance, and Supernova Spectroscopy

Author

J. Calcino, David J. James, Bruce A. Bassett, R. L. C. Ogando, C. B. D'Andrea, Christopher J. Miller, R. R. Gupta, Tim Eifler, Juan Garcia-Bellido, Jennifer L. Marshall, Karl Glazebrook, Lluís Galbany, M. D. Johnson, Douglas L. Tucker, Kyler Kuehn, WeiKang Zheng, Daniel Scolnic, H. T. Diehl, Robert P. Kirshner, W. G. Hartley, Ramon Miquel, Felipe Menanteau, B. P. Thomas, Tenglin Li, R. C. Wolf, J. Lasker, Ryan J. Foley, Santiago Avila, Geraint F. Lewis, E. Bertin, Santiago González-Gaitán, J. K. Hoormann, E. Kasai, Mark Sullivan, Melissa L. Graham, C. Davis, M. Pursiainen, G. Tarle, Carlos E. Cunha, W. C. Wester, Eric H. Neilsen, J. Gschwend, Daniel Muthukrishna, Gary Bernstein, N. E. Sommer, Peter Nugent, C. Frohmaier, David Goldstein, Samuel Hinton, Alejandro Clocchiatti, Bonnie Zhang, A. K. Romer, Daniela Carollo, M. Carrasco Kind, J. Annis, G. Gutierrez, Edward Macaulay, R. C. Thomas, Paul Martini, J. De Vicente, Robert C. Nichol, Kaisey S. Mandel, Flavia Sobreira, Anais Möller, Alexei V. Filippenko, M. W. G. Johnson, Yen-Chen Pan, F. J. Castander, D. J. Brout, Enrique Gaztanaga, K. Honscheid, A. Carnero Rosell, T. M. C. Abbott, M. March, V. Scarpine, E. J. Sanchez, A. A. Plazas, P. Challis, Keith Bechtol, C. Lidman, B. E. Tucker, Eric Morganson, E. Swann, Jacobo Asorey, I. Sevilla-Noarbe, M. Soares-Santos, N. Kuropatkin, L. N. da Costa, Ricard Casas, Juan Estrada, Michael Schubnell, M. Childress, S. A. Uddin, J. Carretero, Tamara M. Davis, Rob Sharp, M. Sako, D. L. Hollowood, S. Serrano, Richard Kessler, Marcos Lima, Josh Frieman, P. Wiseman, D. L. Burke, Robert A. Gruendl, Arturo Avelino, E. Suchyta, A. G. Kim, David J. Brooks, Ben Hoyle, Steven M. Crawford, M. A. G. Maia, M. Smith, Daniel Gruen, D. W. Gerdes, Australian Astronomical Observatory, Comisión Nacional de Investigación Científica y Tecnológica (Chile), University of California, National Aeronautics and Space Administration (US), W. M. Keck Foundation, Smithsonian Institution, University of Arizona, South African Astronomical Observatory, European Commission, Google, University of Southampton, Department of Energy (US), National Science Foundation (US), National Energy Research Scientific Computing Center (US), Gordon and Betty Moore Foundation, Heising Simons Foundation, David and Lucile Packard Foundation, Agencia Nacional de Investigación y Desarrollo (Chile), Ministerio de Educación y Ciencia (España), Science and Technology Facilities Council (UK), Higher Education Funding Council for England, University of Illinois, University of Chicago, The Ohio State University, Texas A&M University, Financiadora de Estudos e Projetos (Brasil), Ministério da Ciência, Tecnologia e Inovação (Brasil), Deutsches Krebsforschungszentrum, University of Cambridge, Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (España), University College London, University of Edinburgh, CSIC - Instituto de Ciencias del Espacio (ICE), Ministerio de Ciencia e Innovación (España), University of Pennsylvania, University of Portsmouth, Stanford University, University of Sussex, 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), 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
Observational cosmology, 010504 meteorology & atmospheric sciences, Cosmological parameters, Astrophysics, Sky surveys, 01 natural sciences, Cosmology, 0103 physical sciences, Binary star, 010303 astronomy & astrophysics, STFC, 0105 earth and related environmental sciences, Physics, Type Ia supernovae, RCUK, Astronomy and Astrophysics, Redshift, ESPECTROSCOPIA, Stars, Supernova, Supernovae, 13. Climate action, Space and Planetary Science, Dark energy, Variable star, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph]
Abstract

We present details on the observing strategy, data-processing techniques, and spectroscopic targeting algorithms for the first three years of operation for the Dark Energy Survey Supernova Program (DES-SN). This five-year program using the Dark Energy Camera mounted on the 4 m Blanco telescope in Chile was designed to discover and follow supernovae (SNe) Ia over a wide redshift range (0.05 < z < 1.2) to measure the equation-of-state parameter of dark energy. We describe the SN program in full: Strategy, observations, data reduction, spectroscopic follow-up observations, and classification. From three seasons of data, we have discovered 12,015 likely SNe, 308 of which have been spectroscopically confirmed, including 251 SNe Ia over a redshift range of 0.017 < z < 0.85. We determine the effective spectroscopic selection function for our sample and use it to investigate the redshiftdependent bias on the distance moduli of SNe Ia we have classified. The data presented here are used for the first cosmology analysis by DES-SN ("DES-SN3YR"), the results of which are given in Dark Energy Survey Collaboration et al. The 489 spectra that are used to define the DES-SN3YR sample are publicly available at https://des.ncsa.illinois.edu/releases/sn., Based in part on data acquired through the Australian Astronomical Observatory under program ATAC A/2013B/12. We acknowledge the traditional owners of the land on which the AAT stands, the Gamilaraay people, and pay our respects to elders past and present. Based on observations obtained at the Gemini Observatory, which is operated by the Association of Universities for Research in Astronomy, Inc., under a cooperative agreement with the NSF on behalf of the Gemini partnership: the National Science Foundation (United States), the National Research Council (Canada), CONICYT (Chile), Ministerio de Ciencia, Tecnología e Innovación Productiva (Argentina), and Ministério da Ciência, Tecnologia e Inovação (Brazil). Observations with Gemini were obtained under NOAO programs 2013A-0373 and 2015B0197, corresponding to GN-2013B-Q-55, GS-2013B-Q-45, GS-2015B-Q-7, GN-2015B-Q-10, as well as GS-2015B-Q-8 under a Chilean program. Based on observations made with the Gran Telescopio Canarias (GTC), installed at the Spanish Observatorio del Roque de los Muchachos of the Instituto de Astrofísica de Canarias, in the island of La Palma. Observations with GTC were made under programs GTC77-13B, GTC70-14B, and GTC101-15B. Some of the data presented herein were obtained at the W. M. Keck Observatory, which isoperated as a scientific partnership among the California Institute of Technology, the University of California and the National Aeronautics and Space Administration (NASA). The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. Observations with Keck were made under programs U063-2013B, U021-2014B, U048-2015B, and U038-2016A. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain. This paper includes data gathered with the 6.5 meter Magellan Telescopes located at Las Campanas Observatory, Chile, partially through program CN2015B-89. Observations reported here were obtained at the MMT Observatory, a joint facility of the Smithsonian Institution and the University of Arizona, under programs 2014c-SAO-4, 2015a-SAO-12, 2015c-SAO-21. Some of the observations reported in this paper were obtained with the Southern African Large Telescope (SALT) under programs 2013-1-RSA_OTH-023, 2013-2-RSA_OTH-018, 2014-1-RSA_OTH016, 2014-2-SCI-070, 2015-1-SCI-063, and 2015-2-SCI-061. Based on observations collected at the European Southern Observatory under ESO programmes 093.A-0749(A), 094.A0310(B), 095.A-0316(A), 096.A-0536(A), 095.D-0797(A). Based on observations obtained at the Southern Astrophysical Research (SOAR) telescope, which is a joint project of the Ministério da Ciência, Tecnologia, Inovações e Comunicações (MCTIC) do Brasil, the U.S. National Optical Astronomy Observatory (NOAO), the University of North Carolina at Chapel Hill (UNC), and Michigan State University (MSU). SOAR observations obtained under program 2014B-0205. Research at Lick Observatory is partially supported by a generous gift from Google. The Southampton group acknowledges support from EUFP7/ERC grant [615929]. MS acknowledges funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (grant agreement No. 759194—USNAC). The Penn group was supported by DOE grant DE-FOA-0001358 and NSF grant AST-1517742. This research used resources of the National Energy Research Scientific Computing Center (NERSC), a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231. A.V.F.ʼs group at U.C. Berkeley is grateful for financial assistance from NSF grant AST-1211916, the Christopher R. Redlich Fund, Gary and Cynthia Bengier, the TABASGO Foundation, and the Miller Institute for Basic Research in Science. The UCSC team is supported in part by NASA grants 14-WPS14-0048, NNG16PJ34G, NNG17PX03C, NSF grants AST-1518052 and AST-1815935, the Gordon & Betty Moore Foundation, the Heising-Simons Foundation, and by fellowships from the Alfred P. Sloan Foundation and the David and Lucile Packard Foundation to R.J.F. SGG acknowledges support by FCT under Project CRISP PTDC/FIS-AST31546 and UIDB/00099/2020. L.G. was funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-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). Support for AC was provided by ANID, through the Millennium Science Initiative grant ICN12_009 (MAS) and by grant Basal CATA PFB 06/09. 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 UrbanaChampaign, 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 InterAmerican 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 AST1138766 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) e-Universe (CNPq grant 465376/2014-2).

Published
2020

31. Dynamical Classification of Trans-Neptunian Objects Detected by the Dark Energy Survey

Author

D. Brooks, G. Gutierrez, J. Gschwend, V. Scarpine, M. Sako, Gary Bernstein, D. L. Hollowood, J. Carretero, Kyle Franson, A. A. Plazas, Shantanu Desai, Michael Schubnell, E. Bertin, Josh Frieman, G. Tarle, Christopher J. Miller, Santiago Avila, A. R. Walker, W. C. Wester, M. A. G. Maia, D. L. Burke, M. Carrasco Kind, David J. James, H. T. Diehl, J. De Vicente, Jennifer L. Marshall, Hsing Wen Lin, Flavia Sobreira, T. M. C. Abbott, E. J. Sanchez, Robert A. Gruendl, Enrique Gaztanaga, Pedro H. Bernardinelli, K. Honscheid, Larissa Markwardt, Kevin Napier, B. Flaugher, P. Doel, Juliette C. Becker, Fred C. Adams, E. Suchyta, E. Buckley-Geer, S. Hamilton, Ramon Miquel, A. Carnero Rosell, Felipe Menanteau, Juan Garcia-Bellido, Tali Khain, I. Sevilla-Noarbe, N. Kuropatkin, L. N. da Costa, M. E. C. Swanson, M. Smith, Daniel Gruen, D. W. Gerdes, 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), Dark Energy Survey, DES, National Science Foundation (US), Ministerio de Economía y Competitividad (España), European Commission, Generalitat de Catalunya, and Instituto Nacional de Ciência e Tecnologia (Brasil)

Subjects
Physics, Earth and Planetary Astrophysics (astro-ph.EP), Solar System, 010504 meteorology & atmospheric sciences, Scattering, FOS: Physical sciences, Astronomy and Astrophysics, Astrophysics, Centaur, Oort cloud, 01 natural sciences, Kuiper belt, Trans-neptunian objects, Mean motion, Space and Planetary Science, Planet, 0103 physical sciences, Dark energy, Trans-Neptunian object, Formation and evolution of the Solar System, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], 010303 astronomy & astrophysics, 0105 earth and related environmental sciences, Astrophysics - Earth and Planetary Astrophysics
Abstract

The outer Solar System contains a large number of small bodies (known as trans-Neptunian objects or TNOs) that exhibit diverse types of dynamical behavior. The classification of bodies in this distant region into dynamical classes -- sub-populations that experience similar orbital evolution -- aids in our understanding of the structure and formation of the Solar System. In this work, we propose an updated dynamical classification scheme for the outer Solar System. This approach includes the construction of a new (automated) method for identifying mean-motion resonances. We apply this algorithm to the current dataset of TNOs observed by the Dark Energy Survey (DES) and present a working classification for all of the DES TNOs detected to date. Our classification scheme yields 1 inner centaur, 19 outer centaurs, 21 scattering disk objects, 47 detached TNOs, 48 securely resonant objects, 7 resonant candidates, and 97 classical belt objects. Among the scattering and detached objects, we detect 8 TNOs with semi-major axes greater than 150 AU., accepted to AJ

Published
2020

32. Testing the isotropy of the Dark Energy Survey's extreme trans-Neptunian objects

Author

P. Doel, Enrique Gaztanaga, Juan Garcia-Bellido, Pedro H. Bernardinelli, Fred C. Adams, S. Hamilton, Gary Bernstein, A. R. Walker, D. Brooks, R. L. C. Ogando, S. Allam, Robert A. Gruendl, S. Everett, Santiago Avila, W. C. Wester, H. T. Diehl, William R. Saunders, Antonella Palmese, Douglas L. Tucker, Masao Sako, Michel Aguena, K. Honscheid, and D. W. Gerdes

Subjects
Physics, Earth and Planetary Astrophysics (astro-ph.EP), Isotropy, FOS: Physical sciences, Astronomy and Astrophysics, 06 humanities and the arts, Astrophysics, 0603 philosophy, ethics and religion, 01 natural sciences, Geophysics, Space and Planetary Science, 060302 philosophy, 0103 physical sciences, Earth and Planetary Sciences (miscellaneous), Dark energy, Trans-Neptunian object, Astrophysics::Earth and Planetary Astrophysics, 010303 astronomy & astrophysics, Astrophysics - Earth and Planetary Astrophysics
Abstract

We test whether the population of "extreme" trans-Neptunian objects (eTNOs) detected in the Y4 Dark Energy Survey (DES) data exhibit azimuthal asymmetries which might be evidence of gravitational perturbations from an unseen super-Earth in a distant orbit. By rotating the orbits of the detected eTNOs, we construct a synthetic population which, when subject to the DES selection function, reproduces the detected distribution of eTNOs in the orbital elements $a,e,$ and $i$ as well as absolute magnitude $H$, but has uniform distributions in mean anomaly $M$, longitude of ascending node $\Omega,$ and argument of perihelion $\omega.$ We then compare the detected distributions in each of $\Omega, \omega,$ and $\varpi\equiv\Omega+\omega$ to those expected from the isotropic population, using Kuiper's variant of the Kolmogorov-Smirnov test. The three angles are tested for each of 4 definitions of the eTNO population, choosing among $a>(150,250)$ AU and perihelion $q>(30,37)$ AU. These choices yield 3--7 eTNOs in the DES Y4 sample. Among the twelve total tests, two have the likelihood of drawing the observed angles from the isotropic population at $p250, q>37$ AU, and the 4 detections at $a>250, q>30$ AU, have $\Omega$ distribution with $p=0.03$ of coming from the isotropic construction, but this is not strong evidence of anisotropy given the 12 different tests. The DES data taken on their own are thus consistent with azimuthal isotropy and do not require a "Planet 9" hypothesis. The limited sky coverage and object count mean, however, that the DES data by no means falsify this hypothesis., Comment: Accepted on PSJ

Published
2020
Full Text
View/download PDF

33. Dark Energy Survey Year 1 Results:Constraints on Intrinsic Alignments and their Colour Dependence from Galaxy Clustering and Weak Lensing

Author

Juan Garcia-Bellido, J. Carretero, Elisabeth Krause, I. Sevilla-Noarbe, Erin Sheldon, David Brooks, J. P. Dietrich, Daniel Gruen, N. Kuropatkin, D. W. Gerdes, J. De Vicente, R. H. Schindler, R. L. C. Ogando, L. N. da Costa, E. Suchyta, Ramon Miquel, Marcos Lima, S. Serrano, Peter Doel, Peter Melchior, Francisco J. Castander, D. L. DePoy, Michael Troxel, M. A. G. Maia, Vinu Vikram, A. Carnero Rosell, M. March, A. A. Plazas, T. M. C. Abbott, Kyler Kuehn, Joshua A. Frieman, M. Carrasco Kind, Michael Schubnell, P. Larsen, Christopher J. Miller, Daniel Thomas, S. Samuroff, V. Scarpine, Tim Eifler, Flavia Sobreira, E. J. Sanchez, Jonathan Blazek, David J. James, W. G. Hartley, M. Gatti, Niall MacCrann, Enrique Gaztanaga, Devon L. Hollowood, C. D. Leonard, J. Prat, Sarah Bridle, Scott Dodelson, Pablo Fosalba, B. Flaugher, Carlos E. Cunha, Ben Hoyle, G. Gutierrez, Joe Zuntz, Shantanu Desai, H. T. Diehl, Mathew Smith, E. Bertin, C. Davis, J. Gschwend, Gary Bernstein, S. Allam, Robert A. Gruendl, Paul Martini, Felipe Menanteau, Gregory Tarle, K. Honscheid, J. Annis, Jennifer L. Marshall, 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
luminous red galaxies, Astrophysics and Astronomy, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Cosmological parameters, FOS: Physical sciences, Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Cosmology, contamination, gravitational lensing: weak, statistics [Galaxies], TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY, 0103 physical sciences, cosmological parameters, observations [Cosmology], 010303 astronomy & astrophysics, Weak gravitational lensing, galaxies: statistics, Astrophysics::Galaxy Astrophysics, Photometric redshift, Physics, cosmological parameter constraints, model, Series (mathematics), 010308 nuclear & particles physics, Astronomy and Astrophysics, Redshift, Galaxy, Amplitude, kids-450, Space and Planetary Science, cosmology: observations, Dark energy, impact, astro-ph.CO, High Energy Physics::Experiment, digital sky survey, Astrophysics::Earth and Planetary Astrophysics, weak [Gravitational lensing], [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], cosmic shear, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We perform a joint analysis of intrinsic alignments and cosmology using tomographic weak lensing, galaxy clustering and galaxy-galaxy lensing measurements from Year 1 (Y1) of the Dark Energy Survey. We define early- and late-type subsamples, which are found to pass a series of systematics tests, including for spurious photometric redshift error and point spread function correlations. We analyse these split data alongside the fiducial mixed Y1 sample using a range of intrinsic alignment models. In a fiducial Nonlinear Alignment Model (NLA) analysis, assuming a flat \lcdm~cosmology, we find a significant difference in intrinsic alignment amplitude, with early-type galaxies favouring $A_\mathrm{IA} = 2.38^{+0.32}_{-0.31}$ and late-type galaxies consistent with no intrinsic alignments at $0.05^{+0.10}_{-0.09}$. We find weak evidence of a diminishing alignment amplitude at higher redshifts in the early-type sample. The analysis is repeated using a number of extended model spaces, including a physically motivated model that includes both tidal torquing and tidal alignment mechanisms. In multiprobe likelihood chains in which cosmology, intrinsic alignments in both galaxy samples and all other relevant systematics are varied simultaneously, we find the tidal alignment and tidal torquing parts of the intrinsic alignment signal have amplitudes $A_1 = 2.66 ^{+0.67}_{-0.66}$, $A_2=-2.94^{+1.94}_{-1.83}$, respectively, for early-type galaxies and $A_1 = 0.62 ^{+0.41}_{-0.41}$, $A_2 = -2.26^{+1.30}_{-1.16}$ for late-type galaxies. In the full (mixed) Y1 sample the best constraints are $A_1 = 0.70 ^{+0.41}_{-0.38}$, $A_2 = -1.36 ^{+1.08}_{-1.41}$. For all galaxy splits and IA models considered, we report cosmological parameter constraints that are consistent with the results of Troxel et al. (2017) and Dark Energy Survey Collaboration (2017)., 31 pages, 23 figures; accepted by MNRAS

Published
2019

34. Dark Energy Survey Year 1 Results: redshift distributions of the weak-lensing source galaxies

Author

A. Benoit-Lévy, Tenglin Li, Chihway Chang, Filipe B. Abdalla, A. L. King, R. C. Smith, Matthew R. Becker, Flavia Sobreira, Peter Doel, R. C. Wolf, M. D. Johnson, D. L. Burke, A. Roodman, Tommaso Giannantonio, D. Mudd, Edward Macaulay, C. Davis, Enrique Fernández, T. N. Varga, H. T. Diehl, Jochen Weller, F. J. Castander, A. A. Plazas, M. T. Busha, T. M. C. Abbott, E. J. Sanchez, Matt J. Jarvis, K. Honscheid, Martin Crocce, E. Suchyta, S. Allam, Robert A. Gruendl, August E. Evrard, S. A. Uddin, Diego Capozzi, Niall MacCrann, M. March, Basilio X. Santiago, Geraint F. Lewis, M. A. G. Maia, C. Bonnett, Alex Drlica-Wagner, P. Vielzeuf, Ofer Lahav, Tim Eifler, Daniela Carollo, Daniel Gruen, B. Flaugher, Donnacha Kirk, M. E. C. Swanson, M. Gatti, J. K. Hoormann, Erin Sheldon, David Brooks, A. Carnero Rosell, J. Gschwend, Gary Bernstein, Risa H. Wechsler, Michael Troxel, Huan Lin, W. C. Wester, David J. James, I. Sevilla-Noarbe, Felipe Menanteau, J. Annis, J. DeRose, D. W. Gerdes, Alistair R. Walker, A. K. Romer, J. Prat, Samuel Hinton, Douglas L. Tucker, N. Kuropatkin, Gregory Tarle, M. Childress, Kyler Kuehn, Paul Martini, J. Carretero, Ashley J. Ross, Tesla E. Jeltema, Eli S. Rykoff, A. G. Kim, Pablo Fosalba, Tamara M. Davis, G. Gutierrez, Marcelle Soares-Santos, Daniel A. Goldstein, Jacobo Asorey, J. De Vicente, Darren L. DePoy, L. N. da Costa, Daniel B. Thomas, Jennifer L. Marshall, Brad E. Tucker, R. P. Rollins, Elisabeth Krause, Anais Möller, E. Bertin, C. B. D'Andrea, Masao Sako, Rafe Schindler, Rob Sharp, S. E. Kuhlmann, Markus Michael Rau, W. G. Hartley, Bonnie Zhang, Karl Glazebrook, M. S. Schubnell, Keith Bechtol, Peter Melchior, Fang Yuan, Brian Nord, N. E. Sommer, Brian Yanny, Shantanu Desai, C. Lidman, Joshua A. Frieman, R. Cawthon, Juan Garcia-Bellido, Eduardo Rozo, Ramon Miquel, S. Samuroff, M. Carrasco Kind, Mathew Smith, Robert C. Nichol, C. Sánchez, Marcos Lima, E. Buckley-Geer, A. Alarcon, Ricardo L. C. Ogando, Juan Estrada, Enrique Gaztanaga, Ben Hoyle, Marvin Johnson, C. R. O'Neill, J. Zuntz, Vinu Vikram, V. Scarpine, 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 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], Dark matter, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Photometry (optics), surveys, 0103 physical sciences, 010303 astronomy & astrophysics, STFC, Astrophysics::Galaxy Astrophysics, catalogues, Weak gravitational lensing, QB, Physics, 010308 nuclear & particles physics, RCUK, Astronomy, Astronomy and Astrophysics, Redshift survey, methods: data analysis, Redshift, Galaxy, Gravitational lens, Space and Planetary Science, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We describe the derivation and validation of redshift distribution estimates and their uncertainties for the galaxies used as weak lensing sources in the Dark Energy Survey (DES) Year 1 cosmological analyses. The Bayesian Photometric Redshift (BPZ) code is used to assign galaxies to four redshift bins between z=0.2 and 1.3, and to produce initial estimates of the lensing-weighted redshift distributions $n^i_{PZ}(z)$ for bin i. Accurate determination of cosmological parameters depends critically on knowledge of $n^i$ but is insensitive to bin assignments or redshift errors for individual galaxies. The cosmological analyses allow for shifts $n^i(z)=n^i_{PZ}(z-\Delta z^i)$ to correct the mean redshift of $n^i(z)$ for biases in $n^i_{\rm PZ}$. The $\Delta z^i$ are constrained by comparison of independently estimated 30-band photometric redshifts of galaxies in the COSMOS field to BPZ estimates made from the DES griz fluxes, for a sample matched in fluxes, pre-seeing size, and lensing weight to the DES weak-lensing sources. In companion papers, the $\Delta z^i$ are further constrained by the angular clustering of the source galaxies around red galaxies with secure photometric redshifts at 0.15, Comment: MNRAS accepted; 20 pages, 8 figures

Published
2018

35. The ellipticity of galaxy cluster haloes from satellite galaxies and weak lensing

Author

Tae Hyeon Shin, Joseph Clampitt, Andrew Neil, Bhuvnesh Jain, Gary Bernstein, Eduardo Rozo, and Eli S. Rykoff

Subjects
Physics, Cosmology and Nongalactic Astrophysics (astro-ph.CO), 010308 nuclear & particles physics, Dark matter, FOS: Physical sciences, Astronomy, Astronomy and Astrophysics, Type-cD galaxy, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Galaxy, Dark matter halo, Space and Planetary Science, 0103 physical sciences, Satellite galaxy, High Energy Physics::Experiment, Brightest cluster galaxy, 010303 astronomy & astrophysics, Astrophysics::Galaxy Astrophysics, Weak gravitational lensing, Galaxy cluster, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We study the ellipticity of galaxy cluster halos as characterized by the distribution of cluster galaxies and as measured with weak lensing. We use monte-carlo simulations of elliptical cluster density profiles to estimate and correct for Poisson noise bias, edge bias and projection effects. We apply our methodology to 10,428 SDSS clusters identified by the redMaPPer algorithm with richness above 20. We find a mean ellipticity $= 0.271 \pm 0.002$ (stat) $\pm 0.031$ (sys) corresponding to an axis ratio $= 0.573 \pm 0.002$ (stat) $\pm 0.039$ (sys). We compare this ellipticity of the satellites to the halo shape, through a stacked lensing measurement using optimal estimators of the lensing quadrupole based on Clampitt and Jain (2016). We find a best-fit axis ratio of $0.56 \pm 0.09$ (stat) $\pm 0.03$ (sys), consistent with the ellipticity of the satellite distribution. Thus cluster galaxies trace the shape of the dark matter halo to within our estimated uncertainties. Finally, we restack the satellite and lensing ellipticity measurements along the major axis of the cluster central galaxy's light distribution. From the lensing measurements we infer a misalignment angle with an RMS of ${30^\circ \pm 10}^\circ$ when stacking on the central galaxy. We discuss applications of halo shape measurements to test the effects of the baryonic gas and AGN feedback, as well as dark matter and gravity. The major improvements in signal-to-noise expected with the ongoing Dark Energy Survey and future surveys from LSST, Euclid and WFIRST will make halo shapes a useful probe of these effects., Comment: 18 pages, 13 figures, 1 table, revised and published to MNRAS

Published
2018

36. 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

37. Density split statistics: Cosmological constraints from counts and lensing in cells in des Y1 and SDSS data

Author

C. Sánchez, J. Carretero, R. P. Rollins, Peter Melchior, Joshua A. Frieman, G. Tarle, Alex Drlica-Wagner, Joe Zuntz, Michael Schubnell, C. B. D'Andrea, A. Benoit-Lévy, A. A. Plazas, A. Roodman, I. Sevilla-Noarbe, Tommaso Giannantonio, Keith Bechtol, David J. James, Michael Troxel, Felipe Menanteau, J. DeRose, N. Kuropatkin, A. Alarcon, Flavia Sobreira, Vinu Vikram, O. Lahav, L. N. da Costa, Matt J. Jarvis, Jochen Weller, P. Martini, Jennifer L. Marshall, Alistair R. Walker, T. M. C. Abbott, Filipe B. Abdalla, E. Krause, Yanxi Zhang, Kyler Kuehn, David J. Brooks, J. P. Dietrich, Juan Garcia-Bellido, Marcos Lima, M. Crocce, Marcelle Soares-Santos, E. S. Rykoff, M. March, M. Gatti, M. Carrasco Kind, A. J. Ross, Ben Hoyle, J. Elvin-Poole, C. L. Davis, J. Clampitt, A. Carnero Rosell, B. Jain, W. G. Hartley, R. C. Smith, B. Flaugher, E. J. Sanchez, J. de Vicente, S. Samuroff, Mathew Smith, M. E. C. Swanson, S. Desai, Jonathan Blazek, Risa H. Wechsler, Enrique Gaztanaga, R. Cawthon, Joseph J. Mohr, Stefan Hilbert, Daniel Gruen, K. Honscheid, Sarah Bridle, E. Sheldon, T. McClintock, Oliver Friedrich, Carlos E. Cunha, E. Rozo, Daniel Thomas, E. Buckley-Geer, Ramon Miquel, S. Allam, Robert A. Gruendl, Tesla E. Jeltema, Enrique J. Fernández, Peter Doel, J. Annis, J. Prat, P. Fosalba, H. T. Diehl, M. S. S. Gill, G. Gutierrez, J. Gschwend, C. Chang, Gary Bernstein, N. MacCrann, V. Scarpine, E. Bertin, 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, Giannantonio, Tommaso [0000-0002-9865-0436], and Apollo - University of Cambridge Repository

Subjects
cosmological model, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Physics and Astronomy (miscellaneous), media_common.quotation_subject, sloan digital sky survey, Library science, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, gravitation: lens, Excellence, 0103 physical sciences, media_common.cataloged_instance, European union, distribution function, Astronomy observatory, dark energy, 010303 astronomy & astrophysics, matter: density, Astrophysics::Galaxy Astrophysics, media_common, perturbation theory, Physics, 010308 nuclear & particles physics, European research, matter: density: fluctuation, Astronomy, statistical analysis: Bayesian, two-point function, Research council, Fundamental physics, many-body problem, astro-ph.CO, Christian ministry, galaxy, National laboratory, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We derive cosmological constraints from the probability distribution function (PDF) of evolved large-scale matter density fluctuations. We do this by splitting lines of sight by density based on their count of tracer galaxies, and by measuring both gravitational shear around and counts-in-cells in overdense and underdense lines of sight, in Dark Energy Survey (DES) First Year and Sloan Digital Sky Survey (SDSS) data. Our analysis uses a perturbation theory model (see companion paper Friedrich at al.) and is validated using N-body simulation realizations and log-normal mocks. It allows us to constrain cosmology, bias and stochasticity of galaxies w.r.t. matter density and, in addition, the skewness of the matter density field. From a Bayesian model comparison, we find that the data weakly prefer a connection of galaxies and matter that is stochastic beyond Poisson fluctuations on, Comment: 33 pages, 22 figures; matches published version

Published
2019
Full Text
View/download PDF

38. Dark Energy Survey Year 1 Results: Cross-correlation between Dark Energy Survey Y1 galaxy weak lensing and South Pole Telescope +Planck CMB weak lensing

Author

Santiago Avila, Jorge Carretero, Gabrielle Simard, Juan De Vicente-Albendea, Pauline Vielzeuf, Chihway Chang, Markus Michael Rau, Juan Garcia-Bellido, Dragan Huterer, Michael Troxel, Filipe Abdalla, Ignacio Sevilla Noarbe, Marco Gatti, Luiz Da Costa, NILS WILLIAM HALVERSON, John Ruhl, Gregory Tarlé, Elizabeth George, Antony Stark, Ryan Chown, Aurelio Carnero Rosell, Bradford Benson, Daniel Gruen, Enrique Gaztanaga, Lindsey Bleem, Carles Sánchez, Clarence Chang, Andrés Alejandro Plazas Malagón, Eric Baxter, Alex Alarcon Gonzalez, Scott Dodelson, Kimmy Wu, Matias Carrasco Kind, Elisabeth Krause, Matt Dobbs, Emmanuel Bertin, Felipe Menanteau, Vinu Vikraman, Jochen Weller, Herman Diehl, Judit Prat, Gary Bernstein, and Eduardo Rozo

Subjects
Physics, 010308 nuclear & particles physics, Cosmic microwave background, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, 01 natural sciences, Galaxy, Cosmology, Redshift, symbols.namesake, South Pole Telescope, 0103 physical sciences, symbols, Dark energy, Planck, 010306 general physics, Weak gravitational lensing
Abstract

We cross-correlate galaxy weak lensing measurements from the Dark Energy Survey (DES) year-one data with a cosmic microwave background (CMB) weak lensing map derived from South Pole Telescope (SPT) and Planck data, with an effective overlapping area of 1289 deg2. With the combined measurements from four source galaxy redshift bins, we obtain a detection significance of 5.8σ. We fit the amplitude of the correlation functions while fixing the cosmological parameters to a fiducial ΛCDM model, finding A=0.99±0.17. We additionally use the correlation function measurements to constrain shear calibration bias, obtaining constraints that are consistent with previous DES analyses. Finally, when performing a cosmological analysis under the ΛCDM model, we obtain the marginalized constraints of ωm=0.261-0.051+0.070 and S8σ8ωm/0.3=0.660-0.100+0.085. These measurements are used in a companion work that presents cosmological constraints from the joint analysis of two-point functions among galaxies, galaxy shears, and CMB lensing using DES, SPT, and Planck data.

Published
2019

39. 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

40. Mass calibration of optically selected DES clusters using a measurement of CMB-cluster lensing with SPTpol data

Author

John E. Carlstrom, D. L. Burke, A. E. Evrard, Juan Garcia-Bellido, E. Bertin, T. L. Chou, J. Hubmayr, D. Rapetti, G. Gutierrez, Robert I. Citron, M. E.C. Swanson, Jeff McMahon, J. Gschwend, Flavia Sobreira, J. D. Hrubes, N. Huang, Jason W. Henning, S. Serrano, N. L. Harrington, S. Allam, Robert A. Gruendl, K. Honscheid, Joaquin Vieira, Adrian T. Lee, Lloyd Knox, Daniel Gruen, A. A. Plazas, I. Sevilla-Noarbe, Yanxi Zhang, Michael Schubnell, Peter Melchior, T. de Haan, Tianjun Li, J. Carretero, Peter A. R. Ade, Bradford Benson, Amy N. Bender, B. Flaugher, K. T. Story, C. L. Davis, V. Scarpine, L. E. Bleem, Srinivasan Raghunathan, H. C. Chiang, Keith Bechtol, Christian L. Reichardt, K. K. Schaffer, Felipe Menanteau, Valentine Novosad, Graeme Smecher, Ramon Miquel, P. Doel, Gregory Tarle, T. Jeltema, C. L. Chang, David J. James, J. P. Dietrich, Benjamin Saliwanchik, R. C. Smith, W. G. Hartley, Federico Bianchini, Gensheng Wang, Ben Hoyle, Gilbert Holder, Nathan Whitehorn, D. L. Hollowood, Pablo Fosalba, John P. Nibarger, Andrew Nadolski, Gene C. Hilton, K. Vanderlinde, David Brooks, Elizabeth George, M. A. G. Maia, C. J. Miller, A. K. Romer, Jason Gallicchio, T. Natoli, T. M. Crawford, E. J. Baxter, A. Carnero Rosell, J. E. Ruhl, Carole Tucker, Enrique Gaztanaga, Joshua Montgomery, H-M. Cho, N. W. Halverson, András Kovács, J. De Vicente, A. G. Kim, E. Suchyta, Antony A. Stark, M. A. Dobbs, Salcedo Romero de Ávila, C. Pryke, Stephen Padin, Marcos Lima, J. A. Beall, S. S. Meyer, M. Carrasco Kind, Nikhel Gupta, T. McClintock, N. Kuropatkin, J. T. Sayre, T. N. Varga, L. N. da Costa, E. Rozo, J. Annis, J. E. Austermann, Joshua A. Frieman, Z. Hou, Kyler Kuehn, Jennifer L. Marshall, Daniel Thomas, Marcelle Soares-Santos, W. B. Everett, S. Patil, Carlos E. Cunha, A. T. Crites, S. Desai, T. F. Eifler, T. M. C. Abbott, E. J. Sanchez, Kent D. Irwin, Lindsey Bleem, L. M. Mocanu, H. T. Diehl, W. L. K. Wu, W. L. Holzapfel, Gary Bernstein, A. J. Gilbert, Adam Anderson, 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), 010504 meteorology & atmospheric sciences, Cosmic microwave background, FOS: Physical sciences, Flux, Astrophysics, cosmic background radiation, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Measure (mathematics), gravitational lensing: weak, weak [gravitational lensing], 0103 physical sciences, Cluster (physics), clusters: general [galaxies], 010303 astronomy & astrophysics, STFC, Galaxy cluster, QC, 0105 earth and related environmental sciences, Physics, Astrophysics::Instrumentation and Methods for Astrophysics, RCUK, Estimator, Astronomy and Astrophysics, Galaxy, Space and Planetary Science, galaxies: clusters: general, astro-ph.CO, Dark energy, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We use cosmic microwave background (CMB) temperature maps from the 500 deg$^{2}$ SPTpol survey to measure the stacked lensing convergence of galaxy clusters from the Dark Energy Survey (DES) Year-3 redMaPPer (RM) cluster catalog. The lensing signal is extracted through a modified quadratic estimator designed to be unbiased by the thermal Sunyaev-Zel{'}dovich (tSZ) effect. The modified estimator uses a tSZ-free map, constructed from the SPTpol 95 and 150 GHz datasets, to estimate the background CMB gradient. For lensing reconstruction, we employ two versions of the RM catalog: a flux-limited sample containing 4003 clusters and a volume-limited sample with 1741 clusters. We detect lensing at a significance of 8.7$\sigma$(6.7$\sigma$) with the flux(volume)-limited sample. By modeling the reconstructed convergence using the Navarro-Frenk-White profile, we find the average lensing masses to be $M_{200m}$ = ($1.62^{+0.32}_{-0.25}$ [stat.] $\pm$ 0.04 [sys.]) and ($1.28^{+0.14}_{-0.18}$ [stat.] $\pm$ 0.03 [sys.]) $\times\ 10^{14}\ M_{\odot}$ for the volume- and flux-limited samples respectively. The systematic error budget is much smaller than the statistical uncertainty and is dominated by the uncertainties in the RM cluster centroids. We use the volume-limited sample to calibrate the normalization of the mass-richness scaling relation, and find a result consistent with the galaxy weak-lensing measurements from DES (Mcclintock et al. 2018)., Comment: 19 pages, 6 figures, published in ApJ

Published
2019

41. Astrometry and Occultation predictions to Trans-Neptunian and Centaur Objects observed within the Dark Energy Survey

Author

V. Scarpine, Juan de Vicente, Marcelo Assafin, J. Carretero, Flavia Sobreira, Alex Drlica Wagner, S. Serrano, Nikolay Kuropatkin, E. Suchyta, Tim Abbot, Mathew Smith, I. Sevilla, Aurelio Carnero Rossell, Rodney S. Gomes, Josh Frieman, A. A. Plazas, G. Gutierrez, Josselin Desmars, Julio Camargo, Enrique Gaztanaga, Roberto Vieira-Martins, M. A. G. Maia, Juan Garcia-Bellido, Matias Carrasco Kind, Ramon Miquel, E. Buckley-Geer, Luiz N. da Costa, Emmanuel Bertin, Ricardo L. C. Ogando, D. L. Burke, Michael Schubnell, David J. James, David J. Brooks, J. Gschwend, S. Avila, Gary Bernstein, S. Allam, Robert A. Gruendl, Matheus Gysi, Felipe Menanteau, Pablo Fosalba, Molly E. C. Swanson, Christopher J. Davis, Will G. Hartley, Marcelle Soares-Santos, Devon L. Hollowood, Martin Banda-Huarca, Filipe B. Abdalla, Gregory Tarle, Daniel Gruen, Felipe Braga Ribas, D. W. Gerdes, Peter Doel, Thomas Diehl, K. Honscheid, Christopher J. Miller, S. Hamilton, William Wester, Kyler Kuehn, Carlos E. Cunha, E. J. Sanchez, K. Romer, Laboratoire d'études spatiales et d'instrumentation en astrophysique (LESIA (UMR_8109)), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire de Paris, 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), 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 PSL Research University (PSL)-PSL Research University (PSL)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)

Subjects
Solar System, 010504 meteorology & atmospheric sciences, media_common.quotation_subject, FOS: Physical sciences, Large Synoptic Survey Telescope, 01 natural sciences, Occultation, surveys, 0103 physical sciences, occultations, ephemerides, 010303 astronomy & astrophysics, QC, STFC, 0105 earth and related environmental sciences, media_common, Earth and Planetary Astrophysics (astro-ph.EP), Astronomy, RCUK, Astronomy and Astrophysics, Centaur, Astrometry, Albedo, Photometry (astronomy), Space and Planetary Science, Sky, astro-ph.EP, astrometry, Kuiper belt: general, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Geology, Astrophysics - Earth and Planetary Astrophysics
Abstract

Transneptunian objects (TNOs) are a source of invaluable information to access the history and evolution of the outer solar system. However, observing these faint objects is a difficult task. As a consequence, important properties such as size and albedo are known for only a small fraction of them. Now, with the results from deep sky surveys and the Gaia space mission, a new exciting era is within reach as accurate predictions of stellar occultations by numerous distant small solar system bodies become available. From them, diameters with kilometer accuracies can be determined. Albedos, in turn, can be obtained from diameters and absolute magnitudes. We use observations from the Dark Energy Survey (DES) from November 2012 until February 2016, amounting to 4292847 CCD frames. We searched them for all known small solar system bodies and recovered a total of 202 TNOs and Centaurs, 63 of which have been discovered by the DES collaboration until the date of this writing. Their positions were determined using the Gaia Data Release 2 as reference and their orbits were refined. Stellar occultations were then predicted using these refined orbits plus stellar positions from Gaia. These predictions are maintained, and updated, in a dedicated web service. The techniques developed here are also part of an ambitious preparation to use the data from the Large Synoptic Survey Telescope (LSST), that expects to obtain accurate positions and multifilter photometry for tens of thousands of TNOs., 25 pages, submitted to Astronomical Journal

Published
2019

42. Probability of magnification in the Hubble frontier fields clusters

Author

Jesús Vega-Ferrero, Jose M. Diego, Gary Bernstein, Ministerio de Economía y Competitividad (España), Space Telescope Science Institute (US), University of Pennsylvania, and European Commission

Subjects
Physics, Gravitational lensing: strong, 010308 nuclear & particles physics, business.industry, Cosmology: observations, Magnification, Library science, Astronomy and Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, strong [Gravitational lensing], 01 natural sciences, Spitzer Space Telescope, Space and Planetary Science, Hospitality, Galaxy: clusters: individual, 0103 physical sciences, clusters: individual [Galaxy], business, observations [Cosmology], 010303 astronomy & astrophysics
Abstract

We present free-form gravitational lensing models derived with the WSLAP+ code for the six Hubble Frontier Fields clusters using the latest data available from the Frontier Fields Lensing Models v.4 collaboration. We present magnification maps in the lens plane and caustic maps in the source plane. From these maps, we derive the probability of magnification using two different, but related, methods. We confirm MACS 0717 as the cluster with the most complex structure, and having the largest lensing efficiency and Einstein radius.When comparing these results with the ones obtained by previous observations of these clusters, we obtain an increase in the lensing efficiency between 1.4 and 2.3.We also find a good correlation with a relatively small dispersion between the lensing efficiency and Einstein radius as a function of the source redshift (z). Finally, we estimate the lensing effects produced by the six Hubble Frontier Fields clusters on the luminosity function of galaxies at high redshift (z = 9) for standard luminosity functions and an alternative luminosity function based on predictions from wave dark matter (φDM) models., JV-F and GMB acknowledge support from the Space Telescope Science Institute (contract number 49726). JMD acknowledges the support of projects AYA2015-64508-P funded by the Ministerio de Economia y Competitividad (MINECO/FEDER, UE). JV-F and JMD acknowledge the hospitality of the University of Pennsylvania.

Published
2019

43. Brown dwarf census with the Dark Energy Survey year 3 data and the thin disk scale height of early L types

Author

L. de Paris, M. A. G. Maia, Molly E. C. Swanson, Alistair R. Walker, Ben Burningham, A. Carnero Rosell, Rafe Schindler, J. Carretero, J. Gschwend, Keith Bechtol, Gary Bernstein, G. Gutierrez, A. Roodman, Richard G. McMahon, Vinu Vikram, S. Avila, Enrique Gaztanaga, Devon L. Hollowood, Josh Frieman, Felipe Menanteau, M. Carrasco-Kind, Jennifer L. Marshall, J. de Vicente, Pablo Fosalba, V. Scarpine, Tenglin Li, Gregory Tarle, Ramon Miquel, A. A. Plazas, E. Suchyta, T. M. C. Abbott, I. Sevilla-Noarbe, E. J. Sanchez, Alex Drlica-Wagner, L. N. da Costa, J. Annis, M. dal Ponte, Adriano Pieres, D. L. Burke, S. Serrano, Juan Garcia-Bellido, Robert A. Gruendl, Flavia Sobreira, and Basilio X. Santiago

Subjects
Physics, education.field_of_study, biology, 010308 nuclear & particles physics, Population, Brown dwarf, FOS: Physical sciences, Astronomy and Astrophysics, Scale height, Astrophysics, biology.organism_classification, Stellar classification, Table (information), 01 natural sciences, Astrophysics - Astrophysics of Galaxies, Galaxy, Galaxias, Astrophysics - Solar and Stellar Astrophysics, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), 0103 physical sciences, education, 010303 astronomy & astrophysics, Solar and Stellar Astrophysics (astro-ph.SR), Dwarf galaxy
Abstract

In this paper we present a catalogue of 11,745 brown dwarfs with spectral types ranging from L0 to T9, photometrically classified using data from the Dark Energy Survey (DES) year 3 release matched to the Vista Hemisphere Survey (VHS) DR3 and Wide-field Infrared Survey Explorer (WISE) data, covering approx 2,400 deg2 up to i_AB=22. The classification method follows the same photo-type method previously applied to SDSS-UKIDSS-WISE data. The most significant difference comes from the use of DES data instead of SDSS, which allow us to classify almost an order of magnitude more brown dwarfs than any previous search and reaching distances beyond 400 parsecs for the earliest types. Next, we also present and validate the GalmodBD simulation, which produces brown dwarf number counts as a function of structural parameters with realistic photometric properties of a given survey. We use this simulation to estimate the completeness and purity of our photometric LT catalogue down to i_AB=22, as well as to compare to the observed number of LT types. We put constraints on the thin disk scale height for the early L population to be around 450 parsecs, in agreement with previous findings. For completeness, we also publish in a separate table a catalogue of 20,863 M dwarfs that passed our colour cut with spectral types greater than M6. Both the LT and the late M catalogues are found at https://des.ncsa.illinois.edu/releases/other/y3-mlt, Comment: 27 pages, 18 figures. Submitted to MNRAS

Published
2019
Full Text
View/download PDF

44. First Cosmology Results Using SNe Ia from the Dark Energy Survey: Analysis, Systematic Uncertainties, and Validation

Author

Samuel Hinton, Antonella Palmese, K. Kuehn, G. Gutierrez, Vinu Vikram, M. A. G. Maia, Bonnie Zhang, Daniel B. Thomas, Felipe Menanteau, R. G. Sharp, Marcos Lima, B. Flaugher, Daniel Muthukrishna, Geraint F. Lewis, Alexei V. Filippenko, M. N. K. Smith, Alex Drlica-Wagner, P. Challis, J. Calcino, David J. James, Jacobo Asorey, R. C. Smith, A. G. Kim, A. Clocchiatti, A. Roodman, P. Fosalba, K. Honscheid, T. Jeltema, Michael Schubnell, C. B. D'Andrea, S. E. Kuhlmann, V. Scarpine, Daniel Scolnic, Per Kragh Andersen, Karl Glazebrook, Josh Frieman, E. S. Rykoff, J. Annis, P. E. Nugent, W. C. Wester, P. Martini, Douglas L. Tucker, Y.-H. Zhang, Lluís Galbany, David J. Brooks, Kaisey S. Mandel, Ben Hoyle, Carlos E. Cunha, Edward Macaulay, Vivian Miranda, Bruce A. Bassett, Elisabeth Krause, R. P. Kirshner, G. Tarle, Ryan J. Foley, Jennifer L. Marshall, C. L. Davis, O. Lahav, A. Carnero Rosell, S. Desai, E. Kasai, Ramon Miquel, D. J. Brout, Tianjun Li, D. L. Burke, J. Carretero, Daniel Gruen, H. T. Diehl, Tamara M. Davis, J. P. Marriner, Darren L. DePoy, Matt J. Jarvis, R. R. Gupta, Juan Garcia-Bellido, T. F. Eifler, W. G. Hartley, F. J. Castander, S. Allam, Robert A. Gruendl, A. A. Plazas, Daniela Carollo, T. M. C. Abbott, Gary Bernstein, E. Morganson, Arturo Avelino, E. Suchyta, N. E. Sommer, B. E. Tucker, Enrique J. Fernández, E. J. Sanchez, C. Lidman, P. Doel, M. Sako, C. J. Miller, E. Swann, D. L. Hollowood, S. Serrano, M. E. C. Swanson, M. J. Childress, Richard Kessler, Anais Möller, E. Bertin, Troxel, I. Sevilla-Noarbe, L. N. da Costa, Flavia Sobreira, Salcedo Romero de Ávila, Juan Estrada, Alistair R. Walker, R. C. Thomas, Marcelle Soares-Santos, M. March, Basilio X. Santiago, Mark Sullivan, J. De Vicente, M. Carrasco Kind, Robert C. Nichol, S. A. Uddin, J. Lasker, R. L. C. Ogando, Keith Bechtol, J. K. Hoormann, A. K. Romer, Peter Brown, and Yen-Chen Pan

Subjects
010504 meteorology & atmospheric sciences, Cosmic microwave background, Astrophysics::Cosmology and Extragalactic Astrophysics, Astrophysics, Astronomy & Astrophysics, 01 natural sciences, Cosmology, symbols.namesake, 0103 physical sciences, cosmological parameters, Planck, dark energy, 010303 astronomy & astrophysics, QC, STFC, 0105 earth and related environmental sciences, Physics, Organic Chemistry, RCUK, Astronomy and Astrophysics, Redshift, Galaxy, Supernova, 13. Climate action, Space and Planetary Science, astro-ph.CO, Dark energy, symbols, Supernova Legacy Survey, CLUSTERS, general [supernovae], Astronomical and Space Sciences, Physical Chemistry (incl. Structural)
Abstract

© 2019. The American Astronomical Society. All rights reserved.. We present the analysis underpinning the measurement of cosmological parameters from 207 spectroscopically classified SNe Ia from the first 3 years of the Dark Energy Survey Supernova Program (DES-SN), spanning a redshift range of 0.017 < z < 0.849. We combine the DES-SN sample with an external sample of 122 low-redshift (z < 0.1) SNe Ia, resulting in a "DES-SN3YR" sample of 329 SNe Ia. Our cosmological analyses are blinded: after combining our DES-SN3YR distances with constraints from the Cosmic Microwave Background, our uncertainties in the measurement of the dark energy equation-of-state parameter, w, are 0.042 (stat) and 0.059 (stat+syst) at 68% confidence. We provide a detailed systematic uncertainty budget, which has nearly equal contributions from photometric calibration, astrophysical bias corrections, and instrumental bias corrections. We also include several new sources of systematic uncertainty. While our sample is less than one-third the size of the Pantheon sample, our constraints on w are only larger by 1.4×, showing the impact of the DES-SN Ia light-curve quality. We find that the traditional stretch and color standardization parameters of the DES-SNe Ia are in agreement with earlier SN Ia samples such as Pan-STARRS1 and the Supernova Legacy Survey. However, we find smaller intrinsic scatter about the Hubble diagram (0.077 mag). Interestingly, we find no evidence for a Hubble residual step (0.007 ± 0.018 mag) as a function of host-galaxy mass for the DES subset, in 2.4σ tension with previous measurements. We also present novel validation methods of our sample using simulated SNe Ia inserted in DECam images and using large catalog-level simulations to test for biases in our analysis pipelines.

Published
2019

45. 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

46. Dark Energy Survey Year 1 Results: Galaxy Sample for BAO Measurement

Author

F. J. Castander, Filipe B. Abdalla, T. M. C. Abbott, A. Benoit-Lévy, M. Smith, Alex Drlica-Wagner, Daniel Gruen, E. J. Sanchez, R. A. Bernstein, C. B. D'Andrea, K. Honscheid, Ofer Lahav, D. W. Gerdes, Elisabeth Krause, M. Garcia-Fernandez, Flavia Sobreira, Daniel Scolnic, Santiago Avila, S. E. Kuhlmann, Carlos E. Cunha, J. Carretero, Douglas L. Tucker, Kyler Kuehn, Jack Elvin-Poole, G. Gutierrez, B. Jain, Vinu Vikram, Peter Doel, M. E. C. Swanson, R. Cawthon, Marcos Lima, Martin Crocce, Jennifer L. Marshall, R. C. Smith, Yanxi Zhang, Tim Eifler, H. T. Diehl, Felipe Menanteau, Daniel Thomas, J. Annis, V. Scarpine, Kwan Chuen Chan, Masao Sako, W. G. Hartley, Ramon Miquel, C. Sánchez, Paul Martini, E. Buckley-Geer, Will J. Percival, Brian Yanny, Shantanu Desai, Enrique Gaztanaga, K. Bechtol, C. J. Miller, M. A. G. Maia, Alistair R. Walker, Joshua A. Frieman, A. Alarcon, Tommaso Giannantonio, A. Carnero Rosell, David J. James, N. Banik, I. Sevilla-Noarbe, Marcelle Soares-Santos, Rafe Schindler, Pablo Fosalba, J. De Vicente, N. Kuropatkin, E. Suchyta, D. L. Hollowood, L. N. da Costa, Erin Sheldon, David Brooks, Rogerio Rosenfeld, E. Bertin, A. A. Plazas, C. Davis, Ana Salvador, J. Gschwend, Gary Bernstein, Ashley J. Ross, G. Tarle, S. Allam, Robert A. Gruendl, M. Carrasco Kind, Robert C. Nichol, Juan Garcia-Bellido, 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, CSIC, Ohio State Univ, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Manchester, Univ Portsmouth, Univ Autonoma Madrid, Sun Yat Sen Univ, Fermilab Natl Accelerator Lab, Barcelona Inst Sci & Technol, Swiss Fed Inst Technol, UCL, Univ Cambridge, Ludwig Maximilians Univ Munchen, Universidade Estadual Paulista (Unesp), Lab Interinst E Astron LIneA, Natl Opt Astron Observ, Rhodes Univ, LSST, CNRS, UPMC Univ Paris 06, Univ Penn, Observ Carnegie Inst Washington, Observ Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, Univ Chicago, Stanford Univ, IIT Hyderabad, CALTECH, Steward Observ, Univ Michigan, SLAC Natl Accelerator Lab, Santa Cruz Inst Particle Phys, Harvard Smithsonian Ctr Astrophys, Australian Astron Observ, Argonne Natl Lab, Universidade de São Paulo (USP), Texas A&M Univ, Inst Catalana Recerca & Estudis Avancats, Brookhaven Natl Lab, Univ Southampton, Brandeis Univ, Universidade Estadual de Campinas (UNICAMP), and Oak Ridge Natl Lab

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), FOS: Physical sciences, Magnitude (mathematics), Astrophysics, Astrophysics::Cosmology and Extragalactic Astrophysics, 01 natural sciences, Measure (mathematics), 0103 physical sciences, Cluster analysis, 010303 astronomy & astrophysics, STFC, Astrophysics::Galaxy Astrophysics, Photometric redshift, Physics, 010308 nuclear & particles physics, RCUK, Astronomy and Astrophysics, Galaxy, Redshift, observations [cosmology], Space and Planetary Science, cosmology: observations, astro-ph.CO, Dark energy, ESTRUTURA DO UNIVERSO, Baryon acoustic oscillations, large-scale structure of Universe, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We define and characterise a sample of 1.3 million galaxies extracted from the first year of Dark Energy Survey data, optimised to measure Baryon Acoustic Oscillations in the presence of significant redshift uncertainties. The sample is dominated by luminous red galaxies located at redshifts $z \gtrsim 0.6$. We define the exact selection using color and magnitude cuts that balance the need of high number densities and small photometric redshift uncertainties, using the corresponding forecasted BAO distance error as a figure-of-merit in the process. The typical photo-$z$ uncertainty varies from $2.3\%$ to $3.6\%$ (in units of 1+$z$) from $z=0.6$ to $1$, with number densities from $200$ to $130$ galaxies per deg$^2$ in tomographic bins of width $\Delta z = 0.1$. Next we summarise the validation of the photometric redshift estimation. We characterise and mitigate observational systematics including stellar contamination, and show that the clustering on large scales is robust in front of those contaminants. We show that the clustering signal in the auto-correlations and cross-correlations is generally consistent with theoretical models, which serves as an additional test of the redshift distributions., Comment: 15 pages, 12 figures. Added discussion on photo-z validation and other tests added based on referee's comments. Matches published version in MNRAS

Published
2019

47. First Cosmology Results using Type Ia Supernovae from the Dark Energy Survey: Constraints on Cosmological Parameters

Author

M. A. G. Maia, Brian Yanny, S. Serrano, Shantanu Desai, T. M. C. Abbott, Lluís Galbany, E. Kasai, Mathew Smith, Kaisey S. Mandel, R. J. Foley, Alexei V. Filippenko, P. Martini, N. Kuropatkin, Daniel Scolnic, Edward Macaulay, E. J. Sanchez, Per Kragh Andersen, Peter de Nully Brown, Brian Nord, N. E. Sommer, Tenglin Li, J. Carretero, H. Spinka, Tamara M. Davis, Robert P. Kirshner, Huan Lin, Carlos Cunha, J. Calcino, David J. James, Santiago Avila, M. Pursiainen, Bruce A. Bassett, Antonella Palmese, Eric H. Neilsen, Daniel A. Goldstein, H. T. Diehl, Ofer Lahav, Pablo Fosalba, E. Swann, R. Cawthon, J. Lasker, V. Scarpine, Peter Nugent, Enrique Fernández, Geraint F. Lewis, Stephen M. Kent, Juan Garcia-Bellido, Eduardo Rozo, A. Roodman, Tommaso Giannantonio, C. Davis, Alex Drlica-Wagner, Daniel Thomas, Karl Glazebrook, Emmanuel Bertin, Alejandro Clocchiatti, D. Brout, Yanxi Zhang, Flavia Sobreira, J. K. Hoormann, W. G. Hartley, Michael D. Johnson, Ricardo L. C. Ogando, Syed Uddin, Daniela Carollo, Tim Eifler, Ben Hoyle, Elisabeth Krause, M. W. G. Johnson, I. Sevilla-Noarbe, A. K. Romer, Mark Sullivan, F. J. Castander, Anais Möller, Alistair R. Walker, Marcelle Soares-Santos, A. Carnero Rosell, David Brooks, Rafe Schindler, M. March, J. Gschwend, M. S. Schubnell, B. Flaugher, Steve Kuhlmann, Yen-Chen Pan, D. A. Finley, Gary Bernstein, R. C. Wolf, Jennifer L. Marshall, Keith Bechtol, Ramon Miquel, Ravi R. Gupta, P. Doel, J. De Vicente, Peter M. Challis, Brad E. Tucker, A. A. Plazas, A. E. Evrard, Daniel Gruen, Eli S. Rykoff, V. Miranda, D. L. Burke, Felipe Menanteau, Gregory Tarle, Daniel Muthukrishna, L. N. da Costa, K. Honscheid, Ricard Casas, Christopher J. Miller, M. Carrasco Kind, Robert C. Nichol, Arturo Avelino, Tesla E. Jeltema, Joshua A. Frieman, Eve Kovacs, R. C. Thomas, Eric Morganson, Jacobo Asorey, C. B. D'Andrea, Alex G. Kim, Bin-Bin Zhang, Santiago González-Gaitán, Enrique Gaztanaga, William Wester, Kyler Kuehn, Michael Troxel, S. Allam, Robert A. Gruendl, Marcos Lima, M. Childress, C. Lidman, D. L. DePoy, Joseph J. Mohr, Rob Sharp, C. Angus, D. L. Hollowood, Samuel Hinton, G. Gutierrez, Richard Kessler, J. Marriner, P. Wiseman, Richard G. Kron, E. Suchyta, Masao Sako, 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), 010504 meteorology & atmospheric sciences, MATÉRIA ESCURA, Cosmic microwave background, FOS: Physical sciences, Astrophysics, Cosmological constant, Astrophysics::Cosmology and Extragalactic Astrophysics, Astronomy & Astrophysics, 01 natural sciences, Omega, Cosmology, dark matter, Photometry (optics), 0103 physical sciences, Astrophysics::Solar and Stellar Astrophysics, Astronomical And Space Sciences, dark energy, 010303 astronomy & astrophysics, QC, STFC, Astrophysics::Galaxy Astrophysics, 0105 earth and related environmental sciences, Physics, RCUK, Astronomy and Astrophysics, Supernova, 13. Climate action, Space and Planetary Science, Dark energy, astro-ph.CO, Baryon acoustic oscillations, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

We present the first cosmological parameter constraints using measurements of type Ia supernovae (SNe Ia) from the Dark Energy Survey Supernova Program (DES-SN). The analysis uses a subsample of 207 spectroscopically confirmed SNe Ia from the first three years of DES-SN, combined with a low-redshift sample of 122 SNe from the literature. Our "DES-SN3YR" result from these 329 SNe Ia is based on a series of companion analyses and improvements covering SN Ia discovery, spectroscopic selection, photometry, calibration, distance bias corrections, and evaluation of systematic uncertainties. For a flat LCDM model we find a matter density Ωm = 0.331 +_ 0.038. For a flat wCDM model, and combining our SN Ia constraints with those from the cosmic microwave background (CMB), we find a dark energy equation of state w = -0.978 +_ 0.059, and Ωm = 0.321 +_ 0.018. For a flat w0 w aCDM model, and combining probes from SN Ia, CMB and baryon acoustic oscillations, we find w0 = -0.885 +_ 0.114 and wa = -0.387 +_ 0.430. These results are in agreement with a cosmological constant and with previous constraints using SNe Ia (Pantheon, JLA).

Published
2019

48. 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

49. Redshift inference from the combination of galaxy colors and clustering in a hierarchical Bayesian model

Author

C. Sánchez and Gary Bernstein

Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO), Population, FOS: Physical sciences, Astrophysics::Cosmology and Extragalactic Astrophysics, Bayesian inference, 01 natural sciences, symbols.namesake, 0103 physical sciences, Statistical physics, Cluster analysis, education, 010303 astronomy & astrophysics, Instrumentation and Methods for Astrophysics (astro-ph.IM), Weak gravitational lensing, Physics, education.field_of_study, 010308 nuclear & particles physics, Astronomy and Astrophysics, Galaxy, Redshift, Space and Planetary Science, symbols, Probability distribution, Astrophysics - Instrumentation and Methods for Astrophysics, Gibbs sampling, Astrophysics - Cosmology and Nongalactic Astrophysics
Abstract

Powerful current and future cosmological constraints using high precision measurements of the large-scale structure of galaxies and its weak gravitational lensing effects rely on accurate characterization of the redshift distributions of the galaxy samples using only broadband imaging. We present a framework for constraining both the redshift probability distributions of galaxy populations and the redshifts of their individual members. We use a hierarchical Bayesian model (HBM) which provides full posterior distributions on those redshift probability distributions, and, for the first time, we show how to combine survey photometry of single galaxies and the information contained in the galaxy clustering against a well-characterized tracer population in a robust way. One critical approximation turns the HBM into a system amenable to efficient Gibbs sampling. We show that in the absence of photometric information, this method reduces to commonly used clustering redshift estimators. Using a simple model system, we show how the incorporation of clustering information with photo-$z$'s tightens redshift posteriors, and can overcome biases or gaps in the coverage of a spectroscopic prior. The method enables the full propagation of redshift uncertainties into cosmological analyses, and uses all the information at hand to reduce those uncertainties and associated potential biases., 14 pages, 7 figures. Addressing comments by MNRAS referee

Published
2018

50. The Dark Energy Survey Data Release 1

Author

M. W. G. Johnson, M. Baumer, Tesla E. Jeltema, Eric H. Neilsen, Peter Nugent, Martin Crocce, S. Hamilton, M. Smith, Antonella Palmese, Nora Shipp, Eli S. Rykoff, F. Nogueira, L. Baruah, Daniel Gruen, Daniel Scolnic, Brian Nord, M. A. G. Maia, Brian Yanny, Matthias Klein, J. Song, R. R. Gupta, Yanxi Zhang, Arya Farahi, J. Carretero, M. March, Basilio X. Santiago, Tamara M. Davis, Shantanu Desai, Gary S. Da Costa, Jochen Weller, T. F. Eifler, Daniel A. Goldstein, J. M. Hislop, Joseph J. Mohr, R. C. Thomas, Erin Sheldon, David Brooks, M. E. C. Swanson, A. Porredon, A. Carnero Rosell, A. Saro, D. W. Gerdes, Xi Chen, Attila Kovács, Eric Morganson, R. C. Wolf, J. P. Dietrich, A. Kremin, T. M. C. Abbott, Richard G. McMahon, Jeremy Mould, J. D. Maloney, Jacobo Asorey, A. Benoit-Lévy, Hiranya V. Peiris, Ofer Lahav, Vinu Vikram, J. Lasker, E. J. Sanchez, B. Flaugher, S. Juneau, Risa H. Wechsler, Ricardo L. C. Ogando, Alistair R. Walker, A. A. Plazas, Ryan J. Foley, M. Carrasco Kind, W. C. Wester, Jennifer L. Marshall, D. L. Burke, Adam Amara, A. Scott, M.L. Sánchez, Jonathan Blazek, C. B. D'Andrea, Marcelle Soares-Santos, R. C. Smith, S. E. Kuhlmann, Ashley J. Ross, Robert C. Nichol, Ben Hoyle, G. Daues, M. Gower, C. J. Miller, M. D. Johnson, Wayne A. Barkhouse, Samuel Hinton, Felipe Menanteau, Kevin Reil, L. Nunes, F. Paz-Chinchón, David J. James, Tenglin Li, Scott Dodelson, Santiago Avila, Ann Elliott, Chihway Chang, T. Kacprzak, G. Tarle, Knut Olsen, R. Das, Ramon Miquel, Lyndsay Old, Juan Garcia-Bellido, E. Bertin, A. Roodman, Tommaso Giannantonio, Carlos E. Cunha, J. Poh, Pablo Fosalba, Enrique Gaztanaga, G. Gutierrez, J. DeRose, J. J. Thaler, Enrique Fernández, Will J. Percival, S. Allam, Paul M. Ricker, A. Pujol, Robert A. Gruendl, V. Scarpine, Andrew B. Pace, R. P. Rollins, K. Honscheid, Timothy A. McKay, Darren L. DePoy, G. Khullar, R. T. Li, Joe Zuntz, Alex Drlica-Wagner, R. Nikutta, Francisco J. Castander, C. Pond, Douglas L. Tucker, Don Petravick, W. G. Hartley, A. K. Vivas, R. Cawthon, Riccardo Campisano, D. A. Finley, D. Brout, Karl Glazebrook, Dragan Huterer, Peter Melchior, Elisabeth Krause, Mark Sullivan, Kyler Kuehn, V. C. Busti, P. Rooney, C. J. Conselice, Huan Lin, Marc Manera, J. Annis, Sebastian Bocquet, A. M. G. Koziol, M. L. Silveira, M. Fitzpatrick, Andrew R. Liddle, Alfredo Zenteno, O. Ballester, Steve Kent, Daniel Thomas, E. Buckley-Geer, Michael Troxel, A. K. Romer, Paul Martini, A. Fausti Neto, Keith Bechtol, C. Davis, J. Gschwend, Gary Bernstein, Hao-Yi Wu, Peter Doel, H. T. Diehl, J. De Vicente, J. P. Marriner, M. S. S. Gill, E. Suchyta, Niall MacCrann, August E. Evrard, Alexandre Refregier, Douglas N. Friedel, Albert Stebbins, M. Banerji, Joshua A. Frieman, I. Sevilla-Noarbe, J. A. Smith, T. McClintock, N. Kuropatkin, L. N. da Costa, Laia Cardiel-Sas, M. Sako, D. L. Hollowood, S. Serrano, David L. Nidever, Marcos Lima, Richard G. Kron, P. Lopez-Reyes, Filipe B. Abdalla, Bhuvnesh Jain, Matthew R. Becker, Flavia Sobreira, Institut d'Astrophysique de Paris ( IAP ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), DES, 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), NOAO Data Lab, Abbott, T. M. C., Abdalla, F. B., Allam, S., Amara, A., Annis, J., Asorey, J., Avila, S., Ballester, O., Banerji, M., Barkhouse, W., Baruah, L., Baumer, M., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Bernstein, G. M., Bertin, E., Blazek, J., Bocquet, S., Brooks, D., Brout, Buckley-Geer, E., Burke, D. L., Busti, V., Campisano, R., Cardiel-Sas, L., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, X., Conselice, C., Costa, G., Crocce, M., Cunha, C. E., D'Andrea, C. B., da Costa, L. N., Das, R., Daues, G., Davis, T. M., Davis, C., De Vicente, J., Depoy, D. L., Derose, J., Desai, S., Diehl, H. T., Dietrich, J. P., Dodelson, S., Doel, P., Drlica-Wagner, A., Eifler, T. F., Elliott, A. E., Evrard, A. E., Farahi, A., Fausti Neto, A., Fernandez, E., Finley, D. A., Flaugher, B., Foley, R. J., Fosalba, P., Friedel, D. N., Frieman, J., García-Bellido, J., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gill, M. S. S., Glazebrook, K., Goldstein, D. A., Gower, M., Gruen, D., Gruendl, R. A., Gschwend, J., Gupta, R. R., Gutierrez, G., Hamilton, S., Hartley, W. G., Hinton, S. R., Hislop, J. M., Hollowood, D., Honscheid, K., Hoyle, B., Huterer, D., Jain, B., James, D. J., Jeltema, T., Johnson, M. W. G., Johnson, M. D., Kacprzak, T., Kent, S., Khullar, G., Klein, M., Kovacs, A., Koziol, A. M. G., Krause, E., Kremin, A., Kron, R., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lahav, O., Lasker, J., Li, T. S., Li, R. T., Liddle, A. R., Lima, M., Lin, H., López-Reyes, P., Maccrann, N., Maia, M. A. G., Maloney, J. D., Manera, M., March, M., Marriner, J., Marshall, J. L., Martini, P., Mcclintock, T., Mckay, T., Mcmahon, R. G., Melchior, P., Menanteau, F., Miller, C. J., Miquel, R., Mohr, J. J., Morganson, E., Mould, J., Neilsen, E., Nichol, R. C., Nogueira, F., Nord, B., Nugent, P., Nunes, L., Ogando, R. L. C., Old, L., Pace, A. B., Palmese, A., Paz-Chinchón, F., Peiris, H. V., Percival, W. J., Petravick, D., Plazas, A. A., Poh, J., Pond, C., Porredon, A., Pujol, A., Refregier, A., Reil, K., Ricker, P. M., Rollins, R. P., Romer, A. K., Roodman, A., Rooney, P., Ross, A. J., Rykoff, E. S., Sako, M., Sanchez, M. L., Sanchez, E., Santiago, B., Saro, A., Scarpine, V., Scolnic, D., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Shipp, N., Silveira, M. L., Smith, M., Smith, R. C., Smith, J. A., Soares-Santos, M., Sobreira, F., Song, J., Stebbins, A., Suchyta, E., Sullivan, M., Swanson, M. E. C., Tarle, G., Thaler, J., Thomas, D., Thomas, R. C., Troxel, M. A., Tucker, D. L., Vikram, V., Vivas, A. K., Walker, A. R., Wechsler, R. H., Weller, J., Wester, W., Wolf, R. C., Wu, H., Yanny, B., Zenteno, A., Zhang, Y., Zuntz, J., Des, Collaboration, Juneau, S., Fitzpatrick, M., Nikutta, R., Nidever, D., Olsen, K., Scott, A., and NOAO Data, Lab

Subjects
Astronomical Objects, catalog, [ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph], techniques: image processing, Astrophysics, astronomical databases: miscellaneous, 01 natural sciences, law.invention, photometric [techniques], techniques: photometric, law, Observatory, Astrophysics - Cosmology and Nongalactic Astrophysic, 010303 astronomy & astrophysics, [ PHYS.PHYS.PHYS-INS-DET ] Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Physics, image processing [techniques], observations [cosmology], sky survey, Astrophysics - Solar and Stellar Astrophysics, astro-ph.CO, Astrophysics - Instrumentation and Methods for Astrophysics, sextractor, Data release, observation [cosmology], Astrophysics - Cosmology and Nongalactic Astrophysics, astro-ph.SR, Cosmology and Nongalactic Astrophysics (astro-ph.CO), Aperture, astro-ph.GA, FOS: Physical sciences, Astronomy & Astrophysics, miscellaneou [astronomical databases], Telescope, surveys, Astrophysics - Astrophysics of Galaxie, 0103 physical sciences, survey, Astronomical And Space Sciences, [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det], Instrumentation and Methods for Astrophysics (astro-ph.IM), Solar and Stellar Astrophysics (astro-ph.SR), Physical Chemistry (Incl. Structural), 010308 nuclear & particles physics, Organic Chemistry, representations, Astronomy and Astrophysics, miscellaneous [astronomical databases], angular masks, Astrophysics - Astrophysics of Galaxies, Galaxy, Data set, catalogs, cosmology: observations, Space and Planetary Science, Astrophysics of Galaxies (astro-ph.GA), Dark energy, Astrophysics - Instrumentation and Methods for Astrophysic, [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph], astro-ph.IM
Abstract

We describe the first public data release of the Dark Energy Survey, DES DR1, consisting of reduced single epoch images, coadded images, coadded source catalogs, and associated products and services assembled over the first three years of DES science operations. DES DR1 is based on optical/near-infrared imaging from 345 distinct nights (August 2013 to February 2016) by the Dark Energy Camera mounted on the 4-m Blanco telescope at Cerro Tololo Inter-American Observatory in Chile. We release data from the DES wide-area survey covering ~5,000 sq. deg. of the southern Galactic cap in five broad photometric bands, grizY. DES DR1 has a median delivered point-spread function of g = 1.12, r = 0.96, i = 0.88, z = 0.84, and Y = 0.90 arcsec FWHM, a photometric precision of < 1% in all bands, and an astrometric precision of 151 mas. The median coadded catalog depth for a 1.95" diameter aperture at S/N = 10 is g = 24.33, r = 24.08, i = 23.44, z = 22.69, and Y = 21.44 mag. DES DR1 includes nearly 400M distinct astronomical objects detected in ~10,000 coadd tiles of size 0.534 sq. deg. produced from ~39,000 individual exposures. Benchmark galaxy and stellar samples contain ~310M and ~ 80M objects, respectively, following a basic object quality selection. These data are accessible through a range of interfaces, including query web clients, image cutout servers, jupyter notebooks, and an interactive coadd image visualization tool. DES DR1 constitutes the largest photometric data set to date at the achieved depth and photometric precision., 30 pages, 20 Figures. Release page found at this url https://des.ncsa.illinois.edu/releases/dr1

Published
2018

Catalog

Books, media, physical & digital resources
See catalog results