10 results on '"Excellence Cluster Univ"'
Search Results
2. Testing the lognormality of the galaxy and weak lensing convergence distributions from Dark Energy Survey maps
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E. Bertin, M. Carrasco Kind, A. Hawken, A. Benoit-Lévy, A. A. Plazas, Marcos Lima, David Brooks, M. E. C. Swanson, Gregory Tarle, Michael Schubnell, T. M. C. Abbott, Gary Bernstein, Joshua A. Frieman, Martin Crocce, G. Gutierrez, E. J. Sanchez, B. Flaugher, R. C. Smith, A. Carnero Rosell, R. A. Bernstein, Nikolay Kuropatkin, Enrique Gaztanaga, Robert Armstrong, Peter Melchior, Marc Manera, L. Clerkin, Steve Kent, Kyler Kuehn, Brian Nord, Vinu Vikram, K. Honscheid, Ramon Miquel, C. B. D'Andrea, Donnacha Kirk, I. Sevilla-Noarbe, J. P. Dietrich, Tim Eifler, Alistair R. Walker, D. L. Burke, Chihway Chang, Marcelle Soares-Santos, Daniel Gruen, Carlos E. Cunha, L. N. da Costa, E. Suchyta, August E. Evrard, P. Fosalba, S. Allam, Robert A. Gruendl, D. W. Gerdes, H. T. Diehl, David Bacon, David J. James, Shantanu Desai, Filipe B. Abdalla, Bhuvnesh Jain, Ofer Lahav, Flavia Sobreira, Benjamin Joachimi, Adam Amara, A. Roodman, A. K. Romer, 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 ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), UCL, Rhodes Univ, Swiss Fed Inst Technol, Univ Portsmouth, Inst Ciencies IEspai ICE, Univ Penn, Cerro Tololo Interamer Observ, Fermilab Natl Accelerator Lab, Princeton Univ, CNRS, Sorbonne Univ, Carnegie Observ, Stanford Univ, SLAC Natl Accelerator Lab, Lab Interinst Astron LIneA, Observ Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, Univ Southampton, Excellence Cluster Univ, Ludwig Maximilians Univ Munchen, CALTECH, Univ Michigan, Univ Chicago, Ohio State Univ, Australian Astron Observ, Universidade de São Paulo (USP), Inst Catalana Recerca Estudis Avancats, Dept Phys & Astron, Ctr Invest Energet, and Universidade Estadual Paulista (Unesp)
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Cosmology and Gravitation ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Gaussian ,[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph] ,FOS: Physical sciences ,Probability density function ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,symbols.namesake ,gravitational lensing: weak ,Joint probability distribution ,weak [gravitational lensing] ,0103 physical sciences ,Statistical physics ,Density contrast ,010303 astronomy & astrophysics ,Weak gravitational lensing ,STFC ,QB ,Physics ,010308 nuclear & particles physics ,RCUK ,Astronomy and Astrophysics ,Galaxy ,observations [cosmology] ,Space and Planetary Science ,cosmology: observations ,Log-normal distribution ,Dark energy ,symbols ,astro-ph.CO ,large-scale structure of Universe ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
It is well known that the probability distribution function (PDF) of galaxy density contrast is approximately lognormal; whether the PDF of mass fluctuations derived from weak lensing convergence (kappa_WL) is lognormal is less well established. We derive PDFs of the galaxy and projected matter density distributions via the Counts in Cells (CiC) method. We use maps of galaxies and weak lensing convergence produced from the Dark Energy Survey (DES) Science Verification data over 139 deg^2. We test whether the underlying density contrast is well described by a lognormal distribution for the galaxies, the convergence and their joint PDF. We confirm that the galaxy density contrast distribution is well modeled by a lognormal PDF convolved with Poisson noise at angular scales from 10-40 arcmin (corresponding to physical scales of 3-10 Mpc). We note that as kappa_WL is a weighted sum of the mass fluctuations along the line of sight, its PDF is expected to be only approximately lognormal. We find that the kappa_WL distribution is well modeled by a lognormal PDF convolved with Gaussian shape noise at scales between 10 and 20 arcmin, with a best-fit chi^2/DOF of 1.11 compared to 1.84 for a Gaussian model, corresponding to p-values 0.35 and 0.07 respectively, at a scale of 10 arcmin. Above 20 arcmin a simple Gaussian model is sufficient. The joint PDF is also reasonably fitted by a bivariate lognormal. As a consistency check we compare the variances derived from the lognormal modelling with those directly measured via CiC. Our methods are validated against maps from the MICE Grand Challenge N-body simulation., Comment: 17 pages, 14 figures, submitted to MNRAS
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- 2017
3. Discovery of a z = 0.65 post-starburst BAL quasar in the DES supernova fields
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Samuel Hinton, G. Gutierrez, Nikolav Kuropatkin, M. J. Childress, David J. James, Tim Abbot, Edward Macaulay, Karl Glazebrook, Michael Schubnell, Nick Seymour, Brad E. Tucker, Shantanu Desai, Ramon Miquel, E. J. Sanchez, S. Allam, Robert A. Gruendl, Kyler Kuehn, A. Benoit-Lévy, Basillio Santiago, Daniel Thomas, Emmanuel Bertin, Kevin Riel, A. Camero Rosell, Alistair R. Walker, K. Honscheid, Geraint F. Lewis, Marcelle Soares-Santos, A. A. Plazas, Marcio A. G. Maia, Molly E. C. Swanson, D. Mudd, Daniel Gruen, Manda Banerji, Fang Yuan, Luiz N. da Costa, B. Flaugher, Flavia Sobreira, Matias Carrasco Kind, Gregory Tarle, E. Suchyta, Suk Sien Tie, Rob Sharp, David J. Brooks, Thomas Diehl, Bradley M. Peterson, Robert Connon Smith, Syed Uddin, Chris Lidman, Tim Eifler, I. Sevilla-Noarbe, D. A. Finley, Ricardo L. C. Ogando, J. Carretero, Tamara M. Davis, Filipe B. Abdalla, Richard G. McMahon, Bonnie Zhang, Paul Martini, 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, Ohio State Univ, Australian Astron Observ, Univ Cambridge, Univ Queensland, CAASTRO ARC Ctr Excellence All Sky Astrophys, Australian Natl Univ, Curtin Univ, Univ Southampton, Univ Sydney, Natl Optic Astron Observ, UCL, Rhodes Univ, Fermilab Natl Accelerator Lab, Inst Astrophys Paris, Sorbonne Univ, Lab Interinst Astron LIneA, Observ Nacl, Univ Illinois, Natl Ctr Supercomputing Applicat, IEEC CSIC, Barcelona Inst Sci & Technol, Excellence Cluster Univ, Ludwig Maximilians Univ Munchen, Univ Penn, CALTECH, Swinburne Univ Technol, Stanford Univ, SLAC Natl Accelerator Lab, Inst Catalana Recerca & Estudis Avancats, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Fed Rio Grande do Sul, Univ Michigan, Universidade Estadual Paulista (Unesp), Oak Ridge Natl Lab, Univ Portsmouth, 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 )
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Cosmology and Gravitation ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Active galactic nucleus ,absorption lines [Quasars] ,active [Galaxies] ,[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph] ,astro-ph.GA ,Astrophysics::High Energy Astrophysical Phenomena ,galaxies: active ,FOS: Physical sciences ,galaxies: starburst ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,symbols.namesake ,Populacoes estelares ,0103 physical sciences ,Astrophysics::Solar and Stellar Astrophysics ,OVV quasar ,Formacao de estrelas ,010303 astronomy & astrophysics ,Quasars ,STFC ,Astrophysics::Galaxy Astrophysics ,Physics ,Supermassive black hole ,010308 nuclear & particles physics ,Star formation ,Astronomy ,Balmer series ,RCUK ,Galaxias Starburst ,Astronomy and Astrophysics ,Quasar ,Astrophysics - Astrophysics of Galaxies ,Galaxy ,Galáxias ativas ,quasars: absorption lines ,Supernova ,starburst [Galaxies] ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,symbols ,astro-ph.CO ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present the discovery of a z=0.65 low-ionization broad absorption line (LoBAL) quasar in a post-starburst galaxy in data from the Dark Energy Survey (DES) and spectroscopy from the Australian Dark Energy Survey (OzDES). LoBAL quasars are a minority of all BALs, and rarer still is that this object also exhibits broad FeII (an FeLoBAL) and Balmer absorption. This is the first BAL quasar that has signatures of recently truncated star formation, which we estimate ended about 40 Myr ago. The characteristic signatures of an FeLoBAL require high column densities, which could be explained by the emergence of a young quasar from an early, dust-enshrouded phase, or by clouds compressed by a blast wave. The age of the starburst component is comparable to estimates of the lifetime of quasars, so if we assume the quasar activity is related to the truncation of the star formation, this object is better explained by the blast wave scenario., 7 pages, 4 figures, and 1 table; Submitted to MNRAS. For a brief video summarizing the paper, please see the Coffee Brief at this link: https://www.youtube.com/watch?v=jLhHSFU9u3g&feature=youtu.be Authors updated!
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- 2017
4. VDES J2325−5229 a z = 2.7 gravitationally lensed quasar discovered using morphology-independent supervised machine learning
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K. Romer, Paul Martini, K. Honscheid, V. Scarpine, Jennifer L. Marshall, C. Lidman, C. Lemon, Daniel Gruen, Alistair R. Walker, Aurelio Carnero Rosell, Shantanu Desai, Marcelle Soares-Santos, David Brooks, Huan Lin, H. Thomas Diehl, Josh Frieman, D. W. Gerdes, E. Suchyta, August E. Evrard, I. Sevilla-Noarbe, Douglas L. Tucker, Kyler Kuehn, David J. James, Carlos E. Cunha, Sergey E. Koposov, Kevin Reil, A. Benoit-Lévy, D. A. Finley, S. Allam, Robert A. Gruendl, Flavia Sobreira, Pablo Fosalba, Daniel Thomas, E. Buckley-Geer, S. L. Reed, Gregory Tarle, Peter Melchior, Marcio A. G. Maia, J. Carretero, B. Flaugher, Daniel A. Goldstein, J. P. Dietrich, Richard G. McMahon, Andrew J. Connolly, Johnathan Hung, Ricardo L. C. Ogando, Andres Plazas Malagon, E. J. Sanchez, G. Gutierrez, Matias Carrasco Kind, Basilio X. Santiago, Marcos Lima, Nikolay Kuropatkin, F. Ostrovski, Matthew W. Auger, Ramon Miquel, Luiz N. da Costa, Emmanuel Bertin, Manda Banerji, Institut d'Astrophysique de Paris (IAP), Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), DES, Univ Cambridge, Minist Educ Brazil, Univ Washington, Ctr Math Sci, Univ Wollongong, Australian Astron Observ, Fermilab Natl Accelerator Lab, CNRS, Univ London Univ Coll, UPMC Univ Paris 06, Lab Interinst Astron LIneA, Observ Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, Inst Ciencies Espai, Barcelona Inst Sci & Technol, Stanford Univ, Excellence Cluster Univ, Ludwig Maximilians Univ Munchen, Univ Michigan, Univ Chicago, Univ Calif Berkeley, Lawrence Berkeley Natl Lab, SLAC Natl Accelerator Lab, Ohio State Univ, Natl Optic Astron Observ, Universidade de São Paulo (USP), Texas A&M Univ, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, CALTECH, Univ Sussex, Ctr Invest Energet Medioambientales & Technol CIE, Univ Fed Rio Grande do Sul, Universidade Estadual Paulista (Unesp), Oak Ridge Natl Lab, Univ Portsmouth, 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 ), McMahon, Richard [0000-0001-8447-8869], Lemon, Cameron [0000-0003-2456-9317], Banerji, Manda [0000-0002-0639-5141], Koposov, Sergey [0000-0003-2644-135X], and Apollo - University of Cambridge Repository
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[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph] ,Strong gravitational lensing ,observational [methods] ,Astrophysics ,computer.software_genre ,Gravitational lensing strong ,01 natural sciences ,Einstein radius ,Astrophysics::Solar and Stellar Astrophysics ,Deslocamento para o vermelho ,010303 astronomy & astrophysics ,QB ,Physics ,Astrophysics::Instrumentation and Methods for Astrophysics ,gravitational lensing: strong ,Fotometria astronômica ,strong [gravitational lensing] ,Elliptical galaxy ,Methods observational ,Astrophysics::Earth and Planetary Astrophysics ,methods: observational ,Cosmology and Gravitation ,Lentes gravitacionais ,astro-ph.GA ,statistical [methods] ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Machine learning ,Photometry (optics) ,quasars: general ,0103 physical sciences ,Quasars ,STFC ,Astrophysics::Galaxy Astrophysics ,methods: statistical ,general [quasars] ,010308 nuclear & particles physics ,business.industry ,RCUK ,Astronomy ,Astronomy and Astrophysics ,Quasar ,Astrophysics - Astrophysics of Galaxies ,Quasars general ,Galaxy ,Redshift ,Space and Planetary Science ,Astrophysics of Galaxies (astro-ph.GA) ,Dark energy ,Artificial intelligence ,Methods statistical ,business ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,computer - Abstract
We present the discovery and preliminary characterization of a gravitationally lensed quasar with a source redshift $\textit{zs}$ = 2.74 and image separation of 2.9 arcsec lensed by a foreground $\textit{zl}$ = 0.40 elliptical galaxy. Since optical observations of gravitationally lensed quasars show the lens system as a superposition of multiple point sources and a foreground lensing galaxy, we have developed a morphology-independent multi-wavelength approach to the photometric selection of lensed quasar candidates based on Gaussian Mixture Models (GMM) supervised machine learning. Using this technique and $\textit{gi}$ multicolour photometric observations from the Dark Energy Survey (DES), near-IR $\textit{JK}$ photometry from the VISTA Hemisphere Survey (VHS) and WISE mid-IR photometry, we have identified a candidate system with two catalogue components with $\textit{iAB}$ = 18.61 and $\textit{iAB}$ = 20.44 comprising an elliptical galaxy and two blue point sources. Spectroscopic follow-up with NTT and the use of an archival AAT spectrum show that the point sources can be identified as a lensed quasar with an emission line redshift of $\textit{z}$ = 2.739 ± 0.003 and a foreground early-type galaxy with $\textit{z}$ = 0.400 ± 0.002. We model the system as a single isothermal ellipsoid and find the Einstein radius θE ∼ 1.47 arcsec, enclosed mass $\textit{M}$enc ∼ 4 × 10$^{11}$$\textit{M}$⊙ and a time delay of ∼52 d. The relatively wide separation, month scale time delay duration and high redshift make this an ideal system for constraining the expansion rate beyond a redshift of 1., FO is supported jointly by CAPES (the Science without Borders programme) and the Cambridge Commonwealth Trust. RGM, CAL, MWA, MB, SLR acknowledge the support of UK Science and Technology Research Council (STFC). AJC acknowledges the support of a Raymond and Beverly Sackler visiting fellowship at the Institute of Astronomy. For further information regarding funding please visit the publisher's website.
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- 2017
5. Cosmic Voids and Void Lensing in the Dark Energy Survey Science Verification Data
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C. B. D'Andrea, A. A. Plazas, P. Vielzeuf, A. Benoit-Lévy, Jennifer L. Marshall, W. G. Hartley, F. B. Abdalla, Martin Crocce, Peter Doel, M. Carrasco Kind, M. Jarvis, G. Gutierrez, H. T. Diehl, K. Honscheid, Jochen Weller, R. C. Smith, Erin Sheldon, David Brooks, Enrique Gaztanaga, Michael Schubnell, Dragan Huterer, T. M. C. Abbott, J. Carretero, Eli S. Rykoff, E. J. Sanchez, Peter Melchior, J. P. Dietrich, Risa H. Wechsler, Adam Amara, Kevin Reil, Joseph DeRose, A. Carnero Rosell, David J. James, Attila Kovács, J. Annis, Kyler Kuehn, M. A. G. Maia, Nico Hamaus, Gary Bernstein, Pablo Fosalba, Ofer Lahav, Carlos E. Cunha, B. Flaugher, Juan Garcia-Bellido, Joe Zuntz, Bhuvnesh Jain, Eduardo Rozo, Flavia Sobreira, Shantanu Desai, Gregory Tarle, Robert A. Gruendl, E. Bertin, R. A. Bernstein, Joshua A. Frieman, E. Suchyta, August E. Evrard, C. Bonnett, Elisabeth Krause, I. Sevilla-Noarbe, L. N. da Costa, Ramon Miquel, C. Sánchez, Seshadri Nadathur, A. K. Romer, A. Fausti Neto, Joseph Clampitt, Marcos Lima, Alistair R. Walker, Marcelle Soares-Santos, Daniel Thomas, E. Buckley-Geer, Daniel Gruen, 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 ), Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), Barcelona Inst Sci & Technol, Univ Penn, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Portsmouth, Stanford Univ, SLAC Natl Accelerator Lab, Univ Munich, Univ Michigan, ETH, UCL, Inst Catalana Rec & Estudis Avancats, Univ Arizona, Brookhaven Natl Lab, Univ Manchester, Natl Opt Astron Observ, Rhodes Univ, Fermilab Natl Accelerator Lab, CNRS, UPMC Univ Paris 06, Carnegie Observ, Lab Interinst Astron LIneA, Observ Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, CSIC, Univ Southampton, Excellence Cluster Univ, Univ Chicago, Ohio State Univ, Australian Astron Observ, Universidade de São Paulo (USP), Texas A&M Univ, Princeton Univ, CALTECH, Univ Sussex, Universidade Estadual Paulista (Unesp), Oak Ridge Natl Lab, and Max Planck Inst Extraterr Phys
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Cosmology and Gravitation ,Void (astronomy) ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph] ,Dark matter ,FOS: Physical sciences ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,gravitational lensing: weak ,weak [gravitational lensing] ,0103 physical sciences ,010303 astronomy & astrophysics ,STFC ,Weak gravitational lensing ,Astrophysics::Galaxy Astrophysics ,QB ,weak ,Cosmology: observations ,Large-scale structure of Universe [Gravitational lensing] ,Physics ,010308 nuclear & particles physics ,RCUK ,Astronomy ,Astronomy and Astrophysics ,Radius ,observations [cosmology] ,Galaxy ,Redshift ,Space and Planetary Science ,cosmology: observations ,astro-ph.CO ,Dark energy ,large-scale structure of Universe ,Giant Void ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
osmic voids are usually identified in spectroscopic galaxy surveys, where 3D information about the large-scale structure of the Universe is available. Although an increasing amount of photometric data is being produced, its potential for void studies is limited since photometric redshifts induce line-of-sight position errors of ≥50 Mpc h−1 which can render many voids undetectable. We present a new void finder designed for photometric surveys, validate it using simulations, and apply it to the high-quality photo-z redMaGiC galaxy sample of the DES Science Verification data. The algorithm works by projecting galaxies into 2D slices and finding voids in the smoothed 2D galaxy density field of the slice. Fixing the line-of-sight size of the slices to be at least twice the photo-z scatter, the number of voids found in simulated spectroscopic and photometric galaxy catalogues is within 20 per cent for all transverse void sizes, and indistinguishable for the largest voids (Rv ≥ 70 Mpc h−1). The positions, radii, and projected galaxy profiles of photometric voids also accurately match the spectroscopic void sample. Applying the algorithm to the DES-SV data in the redshift range 0.2 < z < 0.8, we identify 87 voids with comoving radii spanning the range 18–120 Mpc h−1, and carry out a stacked weak lensing measurement. With a significance of 4.4σ, the lensing measurement confirms that the voids are truly underdense in the matter field and hence not a product of Poisson noise, tracer density effects or systematics in the data. It also demonstrates, for the first time in real data, the viability of void lensing studies in photometric surveys., Monthly Notices of the Royal Astronomical Society, 465 (1), ISSN:0035-8711, ISSN:1365-2966, ISSN:1365-8711
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- 2017
6. The Evolution of Active Galactic Nuclei in Clusters of Galaxies from the Dark Energy Survey
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Eli S. Rykoff, M. Banerji, Joshua A. Frieman, David J. Brooks, Eduardo Rozo, A. Carnero Rosell, D. L. Tucker, L. N. da Costa, Ricardo L. C. Ogando, Shantanu Desai, V. Scarpine, Alistair R. Walker, H. T. Diehl, Joseph J. Mohr, Marcelle Soares-Santos, K. Honscheid, P. Rooney, T. M. C. Abbott, David J. James, Marcio A. G. Maia, E. J. Sanchez, Peter Melchior, A. A. Plazas, E. Bertin, J. Carretero, Carlos E. Cunha, Daniel Thomas, Daniel A. Goldstein, J. P. Dietrich, E. Suchyta, August E. Evrard, A. K. Romer, Kyler Kuehn, Paul Martini, Gregory Tarle, A. Fausti Neto, A. Benoit-Lévy, G. Gutierrez, Daniel Gruen, B. Flaugher, Nikolay Kuropatkin, D. W. Gerdes, S. Allam, Robert A. Gruendl, Tesla E. Jeltema, Ramon Miquel, D. L. Hollowood, Jennifer L. Marshall, F. B. Abdalla, Marcos Lima, R. C. Smith, I. Sevilla-Noarbe, M. Carrasco Kind, Flavia Sobreira, Basilio X. Santiago, E. Bufanda, Univ Calif Santa Cruz, Stanford Univ, SLAC Natl Accelerator Lab, Univ Arizona, Ohio State Univ, Natl Optic Astron Observ, UCL, Rhodes Univ, Fermilab Natl Accelerator Lab, Univ Cambridge, Inst Astrophys Paris, UPMC Univ Paris 06, Lab Interinst E Astron LlneA, Observ Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, IEEC CSIC, Barcelona Inst Sci & Technol, Ludwig Maximilians Univ Munchen, Excellence Cluster Univ, Univ Michigan, Univ Chicago, Univ Calif Berkeley, Lawrence Berkeley Natl Lab, Australian Astron Observ, Universidade de São Paulo (USP), Texas A&M Univ, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, Max Planck Inst Extraterr Phys, CALTECH, Univ Sussex, Ctr Invest Energet Medioambientales & Tecnol CIEM, Univ Fed Rio Grande do Sul, Universidade Estadual Paulista (Unesp), Univ Penn, Univ Portsmouth, 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 )
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Active galactic nucleus ,astro-ph.GA ,[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph] ,Astrophysics::High Energy Astrophysical Phenomena ,galaxies: active ,FOS: Physical sciences ,galaxies: clusters. [X-rays] ,Astrophysics ,X-rays galaxies clusters ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,X-rays galaxies ,0103 physical sciences ,Deslocamento para o vermelho ,Brightest cluster galaxy ,010303 astronomy & astrophysics ,STFC ,Galaxy cluster ,Astrophysics::Galaxy Astrophysics ,QB ,astro-ph.HE ,Physics ,Luminous infrared galaxy ,High Energy Astrophysical Phenomena (astro-ph.HE) ,Aglomerados de galaxias ,010308 nuclear & particles physics ,RCUK ,Astronomy ,Astronomy and Astrophysics ,Quasar ,Astrophysics - Astrophysics of Galaxies ,Galaxy ,galaxies [X-rays] ,Galáxias ativas ,X-rays: galaxies ,Space and Planetary Science ,Galaxies active ,X-rays: galaxies: clusters ,Astrophysics of Galaxies (astro-ph.GA) ,active [galaxies] ,Dark energy ,Elliptical galaxy ,galaxies: clusters [X-rays] ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - High Energy Astrophysical Phenomena ,Nucleo galatico - Abstract
The correlation between active galactic nuclei (AGN) and environment provides important clues to AGN fueling and the relationship of black hole growth to galaxy evolution. In this paper, we analyze the fraction of galaxies in clusters hosting AGN as a function of redshift and cluster richness for X-ray detected AGN associated with clusters of galaxies in Dark Energy Survey (DES) Science Verification data. The present sample includes 33 AGN with L_X > 10^43 ergs s^-1 in non-central, host galaxies with luminosity greater than 0.5 L* from a total sample of 432 clusters in the redshift range of 0.10.7. This result is in good agreement with previous work and parallels the increase in star formation in cluster galaxies over the same redshift range. However, the AGN fraction in clusters is observed to have no significant correlation with cluster mass. Future analyses with DES Year 1 through Year 3 data will be able to clarify whether AGN activity is correlated to cluster mass and will tightly constrain the relationship between cluster AGN populations and redshift., Comment: 9 pages, 3 figures, accepted to MNRAS, added Table 3 listing AGN fraction down to lower L_X and low redshifts, other changes minor
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- 2016
7. Imprint of DES superstructures on the cosmic microwave background
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Tommaso Giannantonio, Juan Garcia-Bellido, J. Carretero, Daniel A. Goldstein, E. J. Sanchez, B. Flaugher, Enrique Gaztanaga, Peter Melchior, Shantanu Desai, Jennifer L. Marshall, Tim Eifler, F. B. Abdalla, Scott Dodelson, Kyler Kuehn, Ricardo L. C. Ogando, Carlos E. Cunha, Joshua A. Frieman, G. Gutierrez, M. E. C. Swanson, Seshadri Nadathur, J. Annis, A. Benoit-Lévy, Joseph Clampitt, I. Sevilla-Noarbe, David J. James, Dragan Huterer, A. K. Romer, Daniel Gruen, N. Kuropatkin, Bhuvnesh Jain, L. N. da Costa, E. Bertin, D. A. Finley, M. Carrasco Kind, Robert Crittenden, V. Scarpine, Pablo Fosalba, B. Soergel, E. Suchyta, Daniel Thomas, Flavia Sobreira, Krishna Naidoo, E. Buckley-Geer, L. Whiteway, Joseph DeRose, Brian Nord, David Bacon, Ofer Lahav, D. Brooks, Donnacha Kirk, Alistair R. Walker, John A. Peacock, C. B. D'Andrea, A. A. Plazas, Felipe Menanteau, Gregory Tarle, A. Carnero Rosell, Attila Kovács, Ramon Miquel, C. Sánchez, Darren L. DePoy, S. Allam, 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, Barcelona Inst Sci & Technol, Univ Autonoma Madrid, Univ Portsmouth, Kavli Inst Particle Astrophys & Cosmol, SLAC Natl Accelerator Lab, Univ Michigan, Univ Pennsylvania, Stanford Univ, Fermilab Natl Accelerator Lab, Univ Chicago, Inst Ciencies Espai, UCL, Inst Catalana Recerca Estudis Avanc, Univ Edinburgh, Univ Cambridge, Rhodes Univ, Inst Astrophys Paris, Sorbonne Univ, Laboratorio Interinstituc Astron LIneA, Observatorio Nacl, Univ Illinois, Natl Ctr Supercomp Applicat, Univ Southampton, Texas A&M Univ, Excellence Cluster Univ, Ludwig Maximilians Univ Munchen, CALTECH, Univ Calif, Lawrence Berkeley Natl Lab, Cerro Tololo Interamer Observ, Australian Astron Observ, Carnegie Observatories, Princeton Univ, Univ Sussex, Centro Investigac Energeticas Medioambient Tecnol, Universidade Estadual Paulista (Unesp), 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 )
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Cosmology and Gravitation ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Cold dark matter ,[ PHYS.ASTR ] Physics [physics]/Astrophysics [astro-ph] ,media_common.quotation_subject ,Cosmic microwave background ,Cosmic background radiation ,FOS: Physical sciences ,Astrophysics ,cosmic background radiation ,01 natural sciences ,surveys ,0103 physical sciences ,Anisotropy ,010303 astronomy & astrophysics ,STFC ,QB ,media_common ,Physics ,Superstructure ,010308 nuclear & particles physics ,RCUK ,Astronomy and Astrophysics ,Redshift ,Space and Planetary Science ,Sky ,Dark energy ,astro-ph.CO ,large-scale structure of Universe ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
Small temperature anisotropies in the Cosmic Microwave Background can be sourced by density perturbations via the late-time integrated Sachs-Wolfe effect. Large voids and superclusters are excellent environments to make a localized measurement of this tiny imprint. In some cases excess signals have been reported. We probed these claims with an independent data set, using the first year data of the Dark Energy Survey in a different footprint, and using a different super-structure finding strategy. We identified 52 large voids and 102 superclusters at redshifts $0.2 < z < 0.65$. We used the Jubilee simulation to a priori evaluate the optimal ISW measurement configuration for our compensated top-hat filtering technique, and then performed a stacking measurement of the CMB temperature field based on the DES data. For optimal configurations, we detected a cumulative cold imprint of voids with $\Delta T_{f} \approx -5.0\pm3.7~\mu K$ and a hot imprint of superclusters $\Delta T_{f} \approx 5.1\pm3.2~\mu K$ ; this is $\sim1.2\sigma$ higher than the expected $|\Delta T_{f}| \approx 0.6~\mu K$ imprint of such super-structures in $\Lambda$CDM. If we instead use an a posteriori selected filter size ($R/R_{v}=0.6$), we can find a temperature decrement as large as $\Delta T_{f} \approx -9.8\pm4.7~\mu K$ for voids, which is $\sim2\sigma$ above $\Lambda$CDM expectations and is comparable to previous measurements made using SDSS super-structure data., Comment: 16 pages, 12 figures. Accepted for publication by MNRAS without further review. Author list updated
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- 2016
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8. Cross-correlation of gravitational lensing from DES Science Verification data with SPT and Planck lensing
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Martin Crocce, P. Martini, Daniel Gruen, Risa H. Wechsler, Joaquin Vieira, D. W. Gerdes, M. Sako, Andrina Nicola, David J. James, A. Benoit-Lévy, Gilbert Holder, Eli S. Rykoff, Pablo Fosalba, Gary Bernstein, C. J. Miller, Matthew R. Becker, Flavia Sobreira, A. Roodman, Marcos Lima, Tommaso Giannantonio, R. L. C. Ogando, V. Scarpine, Ramon Miquel, G. Simard, A. Carnero Rosell, M. March, Eduardo Rozo, David Brooks, M. E. C. Swanson, C. Bonnett, Adam Amara, K. Honscheid, Shantanu Desai, I. Sevilla-Noarbe, E. Suchyta, August E. Evrard, N. Kuropatkin, Alexandre Refregier, B. Flaugher, L. N. da Costa, E. Sheldon, Gregory Tarle, Peter Doel, Steve Kent, P. Larsen, Y. Omori, F. B. Abdalla, H. T. Diehl, David Bacon, Jochen Weller, Bhuvnesh Jain, Niall MacCrann, Vinu Vikram, Josh Frieman, T. M. Crawford, Michael Schubnell, M. Carrasco Kind, Robert C. Nichol, D. L. Burke, Ofer Lahav, Christian L. Reichardt, Robert A. Gruendl, Bradford Benson, R. C. Smith, Michael Troxel, K. T. Story, Tim Eifler, T. M. C. Abbott, C. B. D'Andrea, J. Carretero, T. Kacprzak, E. J. Sanchez, Daniel A. Goldstein, Kyler Kuehn, J. P. Dietrich, Sarah Bridle, Scott Dodelson, Chihway Chang, Carlos E. Cunha, R. Cawthon, Daniel Thomas, E. Buckley-Geer, Peter Melchior, R. A. Bernstein, Joe Zuntz, Donnacha Kirk, Lindsey Bleem, Marcelle Soares-Santos, M. Jarvis, A. A. Plazas, Diego Capozzi, John E. Carlstrom, UCL, McGill Univ, Univ Paris 06, CNRS, Fermilab Natl Accelerator Lab, Univ Chicago, ETH, Univ Cambridge, Univ Portsmouth, CSIC, Univ Penn, Univ Manchester, Stanford Univ, Univ Illinois, Argonne Natl Lab, Natl Opt Astron Observ, Rhodes Univ, Carnegie Observ, Barcelona Inst Sci & Technol, SLAC Natl Accelerator Lab, Lab Interinst & Astron LIneA, Observ Nacl, Natl Ctr Supercomputing Applicat, Univ Southampton, Excellence Cluster Univ, Univ Munich, CALTECH, Univ Michigan, Univ Calif Berkeley, Max Planck Inst Extraterr Phys, Ohio State Univ, Australian Astron Observ, Universidade de São Paulo (USP), Princeton Univ, Inst Catalana Rec & Estudis Avancats, Univ Melbourne, Univ Arizona, CIEMAT, and Universidade Estadual Paulista (Unesp)
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Cosmology and Gravitation ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Cosmic microwave background ,FOS: Physical sciences ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,cosmic background radiation ,01 natural sciences ,Cosmology ,symbols.namesake ,weak [gravitational lensing] ,0103 physical sciences ,data analysis [methods] ,Planck ,010303 astronomy & astrophysics ,Weak gravitational lensing ,STFC ,Physics ,010308 nuclear & particles physics ,RCUK ,Astronomy and Astrophysics ,Engineering physics ,Redshift ,South Pole Telescope ,Gravitational lens ,13. Climate action ,Space and Planetary Science ,symbols ,Dark energy ,astro-ph.CO ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We measure the cross-correlation between weak lensing of galaxy images and of the cosmic microwave background (CMB). The effects of gravitational lensing on different sources will be correlated if the lensing is caused by the same mass fluctuations. We use galaxy shape measurements from 139 deg$^{2}$ of the Dark Energy Survey (DES) Science Verification data and overlapping CMB lensing from the South Pole Telescope (SPT) and Planck. The DES source galaxies have a median redshift of $z_{\rm med} {\sim} 0.7$, while the CMB lensing kernel is broad and peaks at $z{\sim}2$. The resulting cross-correlation is maximally sensitive to mass fluctuations at $z{\sim}0.44$. Assuming the Planck 2015 best-fit cosmology, the amplitude of the DES$\times$SPT cross-power is found to be $A = 0.88 \pm 0.30$ and that from DES$\times$Planck to be $A = 0.86 \pm 0.39$, where $A=1$ corresponds to the theoretical prediction. These are consistent with the expected signal and correspond to significances of $2.9 \sigma$ and $2.2 \sigma$ respectively. We demonstrate that our results are robust to a number of important systematic effects including the shear measurement method, estimator choice, photometric redshift uncertainty and CMB lensing systematics. Significant intrinsic alignment of galaxy shapes would increase the cross-correlation signal inferred from the data; we calculate a value of $A = 1.08 \pm 0.36$ for DES$\times$SPT when we correct the observations with a simple IA model. With three measurements of this cross-correlation now existing in the literature, there is not yet reliable evidence for any deviation from the expected LCDM level of cross-correlation, given the size of the statistical uncertainties and the significant impact of systematic errors, particularly IAs. We provide forecasts for the expected signal-to-noise of the combination of the five-year DES survey and SPT-3G., Comment: 13 pages, 6 figures
9. SUPPLEMENT: 'lOCALIZATION and BROADBAND FOLLOW-UP of the GRAVITATIONAL-WAVE TRANSIENT GW150914' (2016, ApJL, 826, L13)
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Abbott, BP, Abbott, R, Abbott, TD, Abernathy, MR, Acernese, F, Ackley, K, Adams, C, Adams, T, Addesso, P, Adhikari, RX, Adya, VB, Affeldt, C, Agathos, M, Agatsuma, K, Aggarwal, N, Aguiar, OD, Aiello, L, Ain, A, Ajith, P, Allen, B, Allocca, A, Altin, PA, Anderson, SB, Anderson, WG, Arai, K, Araya, MC, Arceneaux, CC, Areeda, JS, Arnaud, N, Arun, KG, Ascenzi, S, Ashton, G, Ast, M, Aston, SM, Astone, P, Aufmuth, P, Aulbert, C, Babak, S, Bacon, P, Bader, MKM, Baker, PT, Baldaccini, F, Ballardin, G, Ballmer, SW, Barayoga, JC, Barclay, SE, Barish, BC, Barker, D, Barone, F, Barr, B, Barsotti, L, Barsuglia, M, Barta, D, Barthelmy, S, Bartlett, J, Bartos, I, Bassiri, R, Basti, A, Batch, JC, Baune, C, Bavigadda, V, Bazzan, M, Behnke, B, Bejger, M, Bell, AS, Bell, CJ, Berger, BK, Bergman, J, Bergmann, G, Berry, CPL, Bersanetti, D, Bertolini, A, Betzwieser, J, Bhagwat, S, Bhandare, R, Bilenko, IA, Billingsley, G, Birch, J, Birney, R, Biscans, S, Bisht, A, Bitossi, M, Biwer, C, Bizouard, MA, Blackburn, JK, Blair, CD, Blair, DG, Blair, RM, Bloemen, S, Bock, O, Bodiya, TP, Boer, M, Bogaert, G, Bogan, C, Bohe, A, Bojtos, P, Bond, C, Bondu, F, Bonnand, R, Boom, BA, Bork, R, Boschi, V, Bose, S, Bouffanais, Y, Bozzi, A, Bradaschia, C, Brady, PR, Braginsky, VB, Branchesi, M, Brau, JE, Briant, T, Brillet, A, Brinkmann, M, Brisson, V, Brockill, P, Brooks, AF, Brown, DA, Brown, DD, Brown, NM, Buchanan, CC, Buikema, A, Bulik, T, Bulten, HJ, Buonanno, A, Buskulic, D, Buy, C, Byer, RL, Cadonati, L, Cagnoli, G, Cahillane, C, Bustillo, JC, Callister, T, Calloni, E, Camp, JB, Cannon, KC, Cao, J, Capano, CD, Capocasa, E, Carbognani, F, Caride, S, Diaz, JC, Casentini, C, Caudill, S, Cavaglia, M, Cavalier, F, Cavalieri, R, Cella, G, Cepeda, CB, Baiardi, LC, Cerretani, G, Cesarini, E, Chakraborty, R, Chalermsongsak, T, Chamberlin, SJ, Chan, M, Chao, S, Charlton, P, Chassande-Mottin, E, Chen, HY, Chen, Y, Cheng, C, Chincarini, A, Chiummo, A, Cho, HS, Cho, M, Chow, JH, Christensen, N, Chu, Q, Chua, S, Chung, S, Ciani, G, Clara, F, Clark, JA, Cleva, F, Coccia, E, Cohadon, P-F, Colla, A, Collette, CG, Cominsky, L, Jr, Constancio M, Conte, A, Conti, L, Cook, D, Corbitt, TR, Cornish, N, Corsi, A, Cortese, S, Costa, CA, Coughlin, MW, Coughlin, SB, Coulon, J-P, Countryman, ST, Couvares, P, Cowan, EE, Coward, DM, Cowart, MJ, Coyne, DC, Coyne, R, Craig, K, Creighton, JDE, Cripe, J, Crowder, SG, Cumming, A, Cunningham, L, Cuoco, E, Dal Canton, T, Danilishin, SL, D'Antonio, S, Danzmann, K, Darman, NS, Dattilo, V, Dave, I, Daveloza, HP, Davier, M, Davies, GS, Daw, EJ, Day, R, DeBra, D, Debreczeni, G, Degallaix, J, De Laurentis, M, Deleglise, S, Del Pozzo, W, Denker, T, Dent, T, Dereli, H, Dergachev, V, DeRosa, RT, De Rosa, R, DeSalvo, R, Dhurandhar, S, Diaz, MC, Di Fiore, L, Di Giovanni, M, Di Lieto, A, Di Pace, S, Di Palma, I, Di Virgilio, A, Dojcinoski, G, Dolique, V, Donovan, F, Dooley, KL, Doravari, S, Douglas, R, Downes, TP, Drago, M, Drever, RWP, Driggers, JC, Du, Z, Ducrot, M, Dwyer, SE, Edo, TB, Edwards, MC, Effler, A, Eggenstein, H-B, Ehrens, P, Eichholz, J, Eikenberry, SS, Engels, W, Essick, RC, Etzel, T, Evans, M, Evans, TM, Everett, R, Factourovich, M, Fafone, V, Fair, H, Fairhurst, S, Fan, X, Fang, Q, Farinon, S, Farr, B, Farr, WM, Favata, M, Fays, M, Fehrmann, H, Fejer, MM, Ferrante, I, Ferreira, EC, Ferrini, F, Fidecaro, F, Fiori, I, Fiorucci, D, Fisher, RP, Flaminio, R, Fletcher, M, Fournier, J-D, Franco, S, Frasca, S, Frasconi, F, Frei, Z, Freise, A, Frey, R, Frey, V, Fricke, TT, Fritschel, P, Frolov, VV, Fulda, P, Fyffe, M, Gabbard, HAG, Gair, JR, Gammaitoni, L, Gaonkar, SG, Garufi, F, Gatto, A, Gaur, G, Gehrels, N, Gemme, G, Gendre, B, Genin, E, Gennai, A, George, J, Gergely, L, Germain, V, Ghosh, A, Ghosh, S, Giaime, JA, Giardina, KD, Giazotto, A, Gill, K, Glaefke, A, Goetz, E, Goetz, R, Gondan, L, Gonzalez, G, Castro, JMG, Gopakumar, A, Gordon, NA, Gorodetsky, ML, Gossan, SE, Gosselin, M, Gouaty, R, Graef, C, Graff, PB, Granata, M, Grant, A, Gras, S, Gray, C, Greco, G, Green, AC, Groot, P, Grote, H, Grunewald, S, Guidi, GM, Guo, X, Gupta, A, Gupta, MK, Gushwa, KE, Gustafson, EK, Gustafson, R, Hacker, JJ, Hall, BR, Hall, ED, Hammond, G, Haney, M, Hanke, MM, Hanks, J, Hanna, C, Hannam, MD, Hanson, J, Hardwick, T, Haris, K, Harms, J, Harry, GM, Harry, IW, Hart, MJ, Hartman, MT, Haster, C-J, Haughian, K, Heidmann, A, Heintze, MC, Heitmann, H, Hello, P, Hemming, G, Hendry, M, Heng, IS, Hennig, J, Heptonstall, AW, Heurs, M, Hild, S, Hoak, D, Hodge, KA, Hofman, D, Hollitt, SE, Holt, K, Holz, DE, Hopkins, P, Hosken, DJ, Hough, J, Houston, EA, Howell, EJ, Hu, YM, Huang, S, Huerta, EA, Huet, D, Hughey, B, Husa, S, Huttner, SH, Huynh-Dinh, T, Idrisy, A, Indik, N, Ingram, DR, Inta, R, Isa, HN, Isac, J-M, Isi, M, Islas, G, Isogai, T, Iyer, BR, Izumi, K, Jacqmin, T, Jang, H, Jani, K, Jaranowski, P, Jawahar, S, Jimenez-Forteza, F, Johnson, WW, Jones, DI, Jones, R, Jonker, RJG, Ju, L, Kalaghatgi, CV, Kalogera, V, Kandhasamy, S, Kang, G, Kanner, JB, Karki, S, Kasprzack, M, Katsavounidis, E, Katzman, W, Kaufer, S, Kaur, T, Kawabe, K, Kawazoe, F, Kefelian, F, Kehl, MS, Keitel, D, Kelley, DB, Kells, W, Kennedy, R, Key, JS, Khalaidovski, A, Khalili, FY, Khan, I, Khan, S, Khan, Z, Khazanov, EA, Kijbunchoo, N, Kim, C, Kim, J, Kim, K, Kim, N, Kim, Y-M, King, EJ, King, PJ, Kinzel, DL, Kissel, JS, Kleybolte, L, Klimenko, S, Koehlenbeck, SM, Kokeyama, K, Koley, S, Kondrashov, V, Kontos, A, Korobko, M, Korth, WZ, Kowalska, I, Kozak, DB, Kringel, V, Krolak, A, Krueger, C, Kuehn, G, Kumar, P, Kuo, L, Kutynia, A, Lackey, BD, Landry, M, Lange, J, Lantz, B, Lasky, PD, Lazzarini, A, Lazzaro, C, Leaci, P, Leavey, S, Lebigot, EO, Lee, CH, Lee, HK, Lee, HM, Lee, K, Lenon, A, Leonardi, M, Leong, JR, Leroy, N, Letendre, N, Levin, Y, Levine, BM, Li, TGF, Libson, A, Littenberg, TB, Lockerbie, NA, Logue, J, Lombardi, AL, Lord, JE, Lorenzini, M, Loriette, V, Lormand, M, Losurdo, G, Lough, JD, Lueck, H, Lundgren, P, Luo, J, Lynch, R, Ma, Y, MacDonald, T, Machenschalk, B, MacInnis, M, Macleod, DM, Magana-Sandoval, F, Magee, RM, Mageswaran, M, Majorana, E, Maksimovic, I, Malvezzi, V, Man, N, Mandel, I, Mandic, V, Mangano, V, Mansell, GL, Manske, M, Mantovani, M, Marchesoni, F, Marion, F, Marka, S, Marka, Z, Markosyan, AS, Maros, E, Martelli, F, Martellini, L, Martin, IW, Martin, RM, Martynov, DV, Marx, JN, Mason, K, Masserot, A, Massinger, TJ, Masso-Reid, M, Matichard, F, Matone, L, Mavalvala, N, Mazumder, N, Mazzolo, G, McCarthy, R, McClelland, DE, McCormick, S, McGuire, SC, McIntyre, G, McIver, J, McManus, DJ, McWilliams, ST, Meacher, D, Meadors, GD, Meidam, J, Melatos, A, Mendell, G, Mendoza-Gandara, D, Mercer, RA, Merilh, E, Merzougui, M, Meshkov, S, Messenger, C, Messick, C, Meyers, PM, Mezzani, F, Miao, H, Michel, C, Middleton, H, Mikhailov, EE, Milano, L, Miller, J, Millhouse, M, Minenkov, Y, Ming, J, Mirshekari, S, Mishra, C, Mitra, S, Mitrofanov, VP, Mitselmakher, G, Mittleman, R, Moggi, A, Mohan, M, Mohapatra, SRP, Montani, M, Moore, BC, Moore, CJ, Moraru, D, Moreno, G, Morriss, SR, Mossavi, K, Mours, B, Mow-Lowry, CM, Mueller, CL, Mueller, G, Muir, AW, Mukherjee, A, Mukherjee, D, Mukherjee, S, Mukund, N, Mullavey, A, Munch, J, Murphy, DJ, Murray, PG, Mytidis, A, Nardecchia, I, Naticchioni, L, Nayak, RK, Necula, V, Nedkova, K, Nelemans, G, Neri, M, Neunzert, A, Newton, G, Nguyen, TT, Nielsen, AB, Nissanke, S, Nitz, A, Nocera, F, Nolting, D, Normandin, MEN, Nuttall, LK, Oberling, J, Ochsner, E, O'Dell, J, Oelker, E, Ogin, GH, Oh, JJ, Oh, SH, Ohme, F, Oliver, M, Oppermann, P, Oram, RJ, O'Reilly, B, O'Shaughnessy, R, Ottaway, DJ, Ottens, RS, Overmier, H, Owen, BJ, Pai, A, Pai, SA, Palamos, JR, Palashov, O, Palliyaguru, N, Palomba, C, Pal-Singh, A, Pan, H, Pankow, C, Pannarale, F, Pant, BC, Paoletti, F, Paoli, A, Papa, MA, Paris, HR, Parker, W, Pascucci, D, Pasqualetti, A, Passaquieti, R, Passuello, D, Patricelli, B, Patrick, Z, Pearlstone, BL, Pedraza, M, Pedurand, R, Pekowsky, L, Pele, A, Penn, S, Perreca, A, Phelps, M, Piccinni, O, Pichot, M, Piergiovanni, F, Pierro, V, Pillant, G, Pinard, L, Pinto, IM, Pitkin, M, Poggiani, R, Popolizio, P, Post, A, Powell, J, Prasad, J, Predoi, V, Premachandra, SS, Prestegard, T, Price, LR, Prijatelj, M, Principe, M, Privitera, S, Prodi, GA, Prokhorov, L, Puncken, O, Punturo, M, Puppo, P, Puerrer, M, Qi, H, Qin, J, Quetschke, V, Quintero, EA, Quitzow-James, R, Raab, FJ, Rabeling, DS, Radkins, H, Raffai, P, Raja, S, Rakhmanov, M, Rapagnani, P, Raymond, V, Razzano, M, Re, V, Read, J, Reed, CM, Regimbau, T, Rei, L, Reid, S, Reitze, DH, Rew, H, Reyes, SD, Ricci, F, Riles, K, Robertson, NA, Robie, R, Robinet, F, Rocchi, A, Rolland, L, Rollins, JG, Roma, VJ, Romano, R, Romanov, G, Romie, JH, Rosinska, D, Rowan, S, Ruediger, A, Ruggi, P, Ryan, K, Sachdev, S, Sadecki, T, Sadeghian, L, Salconi, L, Saleem, M, Salemi, F, Samajdar, A, Sammut, L, Sanchez, EJ, Sandberg, V, Sandeen, B, Sanders, JR, Sassolas, B, Sathyaprakash, BS, Saulson, PR, Sauter, O, Savage, RL, Sawadsky, A, Schale, P, Schilling, R, Schmidt, J, Schmidt, P, Schnabel, R, Schofield, RMS, Schoenbeck, A, Schreiber, E, Schuette, D, Schutz, BF, Scott, J, Scott, SM, Sellers, D, Sentenac, D, Sequino, V, Sergeev, A, Serna, G, Setyawati, Y, Sevigny, A, Shaddock, DA, Shah, S, Shahriar, MS, Shaltev, M, Shao, Z, Shapiro, B, Shawhan, P, Sheperd, A, Shoemaker, DH, Shoemaker, DM, Siellez, K, Siemens, X, Sigg, D, Silva, AD, Simakov, D, Singer, A, Singh, A, Singh, R, Singhal, A, Sintes, AM, Slagmolen, BJJ, Smith, JR, Smith, ND, Smith, RJE, Son, EJ, Sorazu, B, Sorrentino, F, Souradeep, T, Srivastava, AK, Staley, A, Steinke, M, Steinlechner, J, Steinlechner, S, Steinmeyer, D, Stephens, BC, Stone, R, Strain, KA, Straniero, N, Stratta, G, Strauss, NA, Strigin, S, Sturani, R, Stuver, AL, Summerscales, TZ, Sun, L, Sutton, PJ, Swinkels, BL, SzczepaNczyk, MJ, Tacca, M, Talukder, D, Tanner, DB, Tpai, M, Tarabrin, SP, Taracchini, A, Taylor, R, Theeg, T, Thirugnanasambandam, P, Thomas, EG, Thomas, M, Thomas, P, Thorne, KA, Thorne, KS, Thrane, E, Tiwari, S, Tiwari, V, Tokmakov, KV, Tomlinson, C, Tonelli, M, Torres, CV, Torrie, CI, Tyr, D, Travasso, F, Traylor, G, Trifiro, D, Tringali, MC, Trozzo, L, Tse, M, Turconi, M, Tuyenbayev, D, Ugolini, D, Unnikrishnan, CS, Urban, AL, Usman, SA, Vahlbruch, H, Vajente, G, Valdes, G, van Bakel, N, van Beuzekom, M, van den Brand, JFJ, Van den Broeck, C, Vander-Hyde, DC, van der Schaaf, L, van Heijningen, JV, van Veggel, AA, Vardaro, M, Vass, S, Vasuth, M, Vaulin, R, Vecchio, A, Vedovato, G, Veitch, J, Veitch, PJ, Venkateswara, K, Verkindt, D, Vetrano, F, Vicere, A, Vinciguerra, S, Vine, DJ, Vinet, J-Y, Vitale, S, Vo, T, Vocca, H, Vorvick, C, Voss, D, Vousden, WD, Vyatchanin, SP, Wade, AR, Wade, LE, Wade, M, Walker, M, Wallace, L, Walsh, S, Wang, G, Wang, H, Wang, M, Wang, X, Wang, Y, Ward, RL, Warner, J, Was, M, Weaver, B, Wei, L-W, Weinert, M, Weinstein, AJ, Weiss, R, Welborn, T, Wen, L, Wessels, P, Westphal, T, Wette, K, 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F, Ballardin G, Ballmer SW, Barayoga JC, Barclay SE, Barish BC, Barker D, Barone F, Barr B, Barsotti L, Barsuglia M, Barta D, Barthelmy S, Bartlett J, Bartos I, Bassiri R, Basti A, Batch JC, Baune C, Bavigadda V, Bazzan M, Behnke B, Bejger M, Bell AS, Bell CJ, Berger BK, Bergman J, Bergmann G, Berry CPL, Bersanetti D, Bertolini A, Betzwieser J, Bhagwat S, Bhandare R, Bilenko IA, Billingsley G, Birch J, Birney R, Biscans S, Bisht A, Bitossi M, Biwer C, Bizouard MA, Blackburn JK, Blair CD, Blair DG, Blair RM, Bloemen S, Bock O, Bodiya TP, Boer M, Bogaert G, Bogan C, Bohe A, Bojtos P, Bond C, Bondu F, Bonnand R, Boom BA, Bork R, Boschi V, Bose S, Bouffanais Y, Bozzi A, Bradaschia C, Brady PR, Braginsky VB, Branchesi M, Brau JE, Briant T, Brillet A, Brinkmann M, Brisson V, Brockill P, Brooks AF, Brown DA, Brown DD, Brown NM, Buchanan CC, Buikema A, Bulik T, Bulten HJ, Buonanno A, Buskulic D, Buy C, Byer RL, Cadonati L, Cagnoli G, Cahillane C, Bustillo JC, Callister T, Calloni E, Camp JB, Cannon KC, Cao J, Capano CD, Capocasa E, Carbognani F, Caride S, Diaz JC, Casentini C, Caudill S, Cavaglia M, Cavalier F, Cavalieri R, Cella G, Cepeda CB, Baiardi LC, Cerretani G, Cesarini E, Chakraborty R, Chalermsongsak T, Chamberlin SJ, Chan M, Chao S, Charlton P, Chassande-Mottin E, Chen HY, Chen Y, Cheng C, Chincarini A, Chiummo A, Cho HS, Cho M, Chow JH, Christensen N, Chu Q, Chua S, Chung S, Ciani G, Clara F, Clark JA, Cleva F, Coccia E, Cohadon PF, Colla A, Collette CG, Cominsky L, Constancio M, Conte A, Conti L, Cook D, Corbitt TR, Cornish N, Corsi A, Cortese S, Costa CA, Coughlin MW, Coughlin SB, Coulon JP, Countryman ST, Couvares P, Cowan EE, Coward DM, Cowart MJ, Coyne DC, Coyne R, Craig K, Creighton JDE, Cripe J, Crowder SG, Cumming A, Cunningham L, Cuoco E, Dal Canton T, Danilishin SL, D'Antonio S, Danzmann K, Darman NS, Dattilo V, Dave I, Daveloza HP, Davier M, Davies GS, Daw EJ, Day R, DeBra D, Debreczeni G, Degallaix J, De Laurentis M, Deleglise S, Del Pozzo W, Denker T, Dent T, Dereli H, Dergachev V, DeRosa RT, De Rosa R, DeSalvo R, Dhurandhar S, Diaz MC, Di Fiore L, Di Giovanni M, Di Lieto A, Di Pace S, Di Palma I, Di Virgilio A, Dojcinoski G, Dolique V, Donovan F, Dooley KL, Doravari S, Douglas R, Downes TP, Drago M, Drever RWP, Driggers JC, Du Z, Ducrot M, Dwyer SE, Edo TB, Edwards MC, Effler A, Eggenstein HB, Ehrens P, Eichholz J, Eikenberry SS, Engels W, Essick RC, Etzel T, Evans M, Evans TM, Everett R, Factourovich M, Fafone V, Fair H, Fairhurst S, Fan X, Fang Q, Farinon S, Farr B, Farr WM, Favata M, Fays M, Fehrmann H, Fejer MM, Ferrante I, Ferreira EC, Ferrini F, Fidecaro F, Fiori I, Fiorucci D, Fisher RP, Flaminio R, Fletcher M, Fournier JD, Franco S, Frasca S, Frasconi F, Frei Z, Freise A, Frey R, Frey V, Fricke TT, Fritschel P, Frolov VV, Fulda P, Fyffe M, Gabbard HAG, Gair JR, Gammaitoni L, Gaonkar SG, Garufi F, Gatto A, Gaur G, Gehrels N, Gemme G, Gendre B, Genin E, Gennai A, George J, Gergely L, Germain V, Ghosh A, Ghosh S, Giaime JA, Giardina KD, Giazotto A, Gill K, Glaefke A, Goetz E, Goetz R, Gondan L, Gonzalez G, Castro JMG, Gopakumar A, Gordon NA, Gorodetsky ML, Gossan SE, Gosselin M, Gouaty R, Graef C, Graff PB, Granata M, Grant A, Gras S, Gray C, Greco G, Green AC, Groot P, Grote H, Grunewald S, Guidi GM, Guo X, Gupta A, Gupta MK, Gushwa KE, Gustafson EK, Gustafson R, Hacker JJ, Hall BR, Hall ED, Hammond G, Haney M, Hanke MM, Hanks J, Hanna C, Hannam MD, Hanson J, Hardwick T, Haris K, Harms J, Harry GM, Harry IW, Hart MJ, Hartman MT, Haster CJ, Haughian K, Heidmann A, Heintze MC, Heitmann H, Hello P, Hemming G, Hendry M, Heng IS, Hennig J, Heptonstall AW, Heurs M, Hild S, Hoak D, Hodge KA, Hofman D, Hollitt SE, Holt K, Holz DE, Hopkins P, Hosken DJ, Hough J, Houston EA, Howell EJ, Hu YM, Huang S, Huerta EA, Huet D, Hughey B, Husa S, Huttner SH, Huynh-Dinh T, Idrisy A, Indik N, Ingram DR, Inta R, Isa HN, Isac JM, Isi M, Islas G, Isogai T, Iyer BR, Izumi K, Jacqmin T, Jang H, Jani K, Jaranowski P, Jawahar S, Jimenez-Forteza F, Johnson WW, Jones DI, Jones R, Jonker RJG, Ju L, Kalaghatgi CV, Kalogera V, Kandhasamy S, Kang G, Kanner JB, Karki S, Kasprzack M, Katsavounidis E, Katzman W, Kaufer S, Kaur T, Kawabe K, Kawazoe F, Kefelian F, Kehl MS, Keitel D, Kelley DB, Kells W, Kennedy R, Key JS, Khalaidovski A, Khalili FY, Khan I, Khan S, Khan Z, Khazanov EA, Kijbunchoo N, Kim C, Kim J, Kim K, Kim N, Kim YM, King EJ, King PJ, Kinzel DL, Kissel JS, Kleybolte L, Klimenko S, Koehlenbeck SM, Kokeyama K, Koley S, Kondrashov V, Kontos A, Korobko M, Korth WZ, Kowalska I, Kozak DB, Kringel V, Krolak A, Krueger C, Kuehn G, Kumar P, Kuo L, Kutynia A, Lackey BD, Landry M, Lange J, Lantz B, Lasky PD, Lazzarini A, Lazzaro C, Leaci P, Leavey S, Lebigot EO, Lee CH, Lee HK, Lee HM, Lee K, Lenon A, Leonardi M, Leong JR, Leroy N, Letendre N, Levin Y, Levine BM, Li TGF, Libson A, Littenberg TB, Lockerbie NA, Logue J, Lombardi AL, Lord JE, Lorenzini M, Loriette V, Lormand M, Losurdo G, Lough JD, Luck H, Lundgren P, Luo J, Lynch R, Ma Y, MacDonald T, Machenschalk B, MacInnis M, Macleod DM, Magana-Sandoval F, Magee RM, Mageswaran M, Majorana E, Maksimovic I, Malvezzi V, Man N, Mandel I, Mandic V, Mangano V, Mansell GL, Manske M, Mantovani M, Marchesoni F, Marion F, Marka S, Marka Z, Markosyan AS, Maros E, Martelli F, Martellini L, Martin IW, Martin RM, Martynov DV, Marx JN, Mason K, Masserot A, Massinger TJ, Masso-Reid M, Matichard F, Matone L, Mavalvala N, Mazumder N, Mazzolo G, McCarthy R, McClelland DE, McCormick S, McGuire SC, McIntyre G, McIver J, McManus DJ, McWilliams ST, Meacher D, Meadors GD, Meidam J, Melatos A, Mendell G, Mendoza-Gandara D, Mercer RA, Merilh E, Merzougui M, Meshkov S, Messenger C, Messick C, Meyers PM, Mezzani F, Miao H, Michel C, Middleton H, Mikhailov EE, Milano L, Miller J, Millhouse M, Minenkov Y, Ming J, Mirshekari S, Mishra C, Mitra S, Mitrofanov VP, Mitselmakher G, Mittleman R, Moggi A, Mohan M, Mohapatra SRP, Montani M, Moore BC, Moore CJ, Moraru D, Moreno G, Morriss SR, Mossavi K, Mours B, Mow-Lowry CM, Mueller CL, Mueller G, Muir AW, Mukherjee A, Mukherjee D, Mukherjee S, Mukund N, Mullavey A, Munch J, Murphy DJ, Murray PG, Mytidis A, Nardecchia I, Naticchioni L, Nayak RK, Necula V, Nedkova K, Nelemans G, Neri M, Neunzert A, Newton G, Nguyen TT, Nielsen AB, Nissanke S, Nitz A, Nocera F, Nolting D, Normandin MEN, Nuttall LK, Oberling J, Ochsner E, O'Dell J, Oelker E, Ogin GH, Oh JJ, Oh SH, Ohme F, Oliver M, Oppermann P, Oram RJ, O'Reilly B, O'Shaughnessy R, Ottaway DJ, Ottens RS, Overmier H, Owen BJ, Pai A, Pai SA, Palamos JR, Palashov O, Palliyaguru N, Palomba C, Pal-Singh A, Pan H, Pankow C, Pannarale F, Pant BC, Paoletti F, Paoli A, Papa MA, Paris HR, Parker W, Pascucci D, Pasqualetti A, Passaquieti R, Passuello D, Patricelli B, Patrick Z, Pearlstone BL, Pedraza M, Pedurand R, Pekowsky L, Pele A, Penn S, Perreca A, Phelps M, Piccinni O, Pichot M, Piergiovanni F, Pierro V, Pillant G, Pinard L, Pinto IM, Pitkin M, Poggiani R, Popolizio P, Post A, Powell J, Prasad J, Predoi V, Premachandra SS, Prestegard T, Price LR, Prijatelj M, Principe M, Privitera S, Prodi GA, Prokhorov L, Puncken O, Punturo M, Puppo P, Purrer M, Qi H, Qin J, Quetschke V, Quintero EA, Quitzow-James R, Raab FJ, Rabeling DS, Radkins H, Raffai P, Raja S, Rakhmanov M, Rapagnani P, Raymond V, Razzano M, Re V, Read J, Reed CM, Regimbau T, Rei L, Reid S, Reitze DH, Rew H, Reyes SD, Ricci F, Riles K, Robertson NA, Robie R, Robinet F, Rocchi A, Rolland L, Rollins JG, Roma VJ, Romano R, Romanov G, Romie JH, Rosinska D, Rowan S, Rudiger A, Ruggi P, Ryan K, Sachdev S, Sadecki T, Sadeghian L, Salconi L, Saleem M, Salemi F, Samajdar A, Sammut L, Sanchez EJ, Sandberg V, Sandeen B, Sanders JR, Sassolas B, Sathyaprakash BS, Saulson PR, Sauter O, Savage RL, Sawadsky A, Schale P, Schilling R, Schmidt J, Schmidt P, Schnabel R, Schofield RMS, Schonbeck A, Schreiber E, Schuette D, Schutz BF, Scott J, Scott SM, Sellers D, Sentenac D, Sequino V, Sergeev A, Serna G, Setyawati Y, Sevigny A, Shaddock DA, Shah S, Shahriar MS, Shaltev M, Shao Z, Shapiro B, Shawhan P, Sheperd A, Shoemaker DH, Shoemaker DM, Siellez K, Siemens X, Sigg D, Silva AD, Simakov D, Singer A, Singh A, Singh R, Singhal A, Sintes AM, Slagmolen BJJ, Smith JR, Smith ND, Smith RJE, Son EJ, Sorazu B, Sorrentino F, Souradeep T, Srivastava AK, Staley A, Steinke M, Steinlechner J, Steinlechner S, Steinmeyer D, Stephens BC, Stone R, Strain KA, Straniero N, Stratta G, Strauss NA, Strigin S, Sturani R, Stuver AL, Summerscales TZ, Sun L, Sutton PJ, Swinkels BL, SzczepaNczyk MJ, Tacca M, Talukder D, Tanner DB, Tpai M, Tarabrin SP, Taracchini A, Taylor R, Theeg T, Thirugnanasambandam P, Thomas EG, Thomas M, Thomas P, Thorne KA, Thorne KS, Thrane E, Tiwari S, Tiwari V, Tokmakov KV, Tomlinson C, Tonelli M, Torres CV, Torrie CI, Tyr D, Travasso F, Traylor G, Trifiro D, Tringali MC, Trozzo L, Tse M, Turconi M, Tuyenbayev D, Ugolini D, Unnikrishnan CS, Urban AL, Usman SA, Vahlbruch H, Vajente G, Valdes G, van Bakel N, van Beuzekom M, van den Brand JFJ, Van den Broeck C, Vander-Hyde DC, van der Schaaf L, van Heijningen JV, van Veggel AA, Vardaro M, Vass S, Vasuth M, Vaulin R, Vecchio A, Vedovato G, Veitch J, Veitch PJ, Venkateswara K, Verkindt D, Vetrano F, Vicere A, Vinciguerra S, Vine DJ, Vinet JY, Vitale S, Vo T, Vocca H, Vorvick C, Voss D, Vousden WD, Vyatchanin SP, Wade AR, Wade LE, Wade M, Walker M, Wallace L, Walsh S, Wang G, Wang H, Wang M, Wang X, Wang Y, Ward RL, Warner J, Was M, Weaver B, Wei LW, Weinert M, Weinstein AJ, Weiss R, Welborn T, Wen L, Wessels P, Westphal T, Wette K, Whelan JT, White DJ, Whiting BF, Williams RD, Williamson AR, Willis JL, Willke B, Wimmer MH, Winkler W, Wipf CC, Wittel H, Woan G, Worden J, Wright JL, Wu G, Yablon J, Yam W, Yamamoto H, Yancey CC, Yap MJ, Yu H, Yvert M, Zadrozny A, Zangrando L, Zanolin M, Zendri JP, Zevin M, Zhang F, Zhang L, Zhang M, Zhang Y, Zhao C, Zhou M, Zhou Z, Zhu XJ, Zucker ME, Zuraw SE, Zweizig J, Allison J, Bannister K, Bell ME, Chatterjee S, Chippendale AP, Edwards PG, Harvey-Smith L, Heywood I, Hotan A, Indermuehle B, Marvil J, McConnell D, Murphy T, Popping A, Reynolds J, Sault RJ, Voronkov MA, Whiting MT, Castro-Tirado AJ, Cunniffe R, Jelinek M, Tello JC, Oates SR, Hu YD, Kubanek P, Guziy S, Castellon A, Garcia-Cerezo A, Munoz VF, del Pulgar CP, Castillo-Carrion S, Ceron JMC, Hudec R, Caballero-Garcia MD, Pata P, Vitek S, Adame JA, Konig S, Rendon F, Sanguino TDM, Fernandez-Munoz R, Yock PC, Rattenbury N, Allen WH, Querel R, Jeong S, Park IH, Bai J, Cui C, Fan Y, Wang C, Hiriart D, Lee WH, Claret A, Sanchez-Ramirez R, Pandey SB, Mediavilla T, Sabau-Graziati L, Abbott TMC, Abdalla FB, Allam S, Annis J, Armstrong R, Benoit-Levy A, Berger E, Bernstein RA, Bertin E, Brout D, Buckley-Geer E, Burke DL, Capozzi D, Carretero J, Castander FJ, Chornock R, Cowperthwaite PS, Crocce M, Cunha CE, D'Andrea CB, da Costa LN, Desai S, Diehl HT, Dietrich JP, Doctor Z, Drlica-Wagner A, Drout MR, Eifler TF, Estrada J, Evrard AE, Fernandez E, Finley DA, Flaugher B, Foley RJ, Fong WF, Fosalba P, Fox DB, Frieman J, Fryer CL, Gaztanaga E, Gerdes DW, Goldstein DA, Gruen D, Gruendl RA, Gutierrez G, Herner K, Honscheid K, James DJ, Johnson MD, Johnson MWG, Karliner I, Kasen D, Kent S, Kessler R, Kim AG, Kind MC, Kuehn K, Kuropatkin N, Lahav O, Li TS, Lima M, Lin H, Maia MAG, Margutti R, Marriner J, Martini P, Matheson T, Melchior P, Metzger BD, Miller CJ, Miquel R, Neilsen E, Nichol RC, Nord B, Nugent P, Ogando R, Petravick D, Plazas AA, Quataert E, Roe N, Romer AK, Roodman A, Rosell AC, Rykoff ES, Sako M, Sanchez E, Scarpine V, Schindler R, Schubnell M, Scolnic D, Sevilla-Noarbe I, Sheldon E, Smith N, Smith RC, Soares-Santos M, Sobreira F, Stebbins A, Suchyta E, Swanson MEC, Tarle G, Thaler J, Thomas D, Thomas RC, Tucker DL, Vikram V, Walker AR, Wechsler RH, Wester W, Yanny B, Zuntz J, Connaughton V, Burns E, Goldstein A, Briggs MS, Zhang BB, Hui CM, Jenke P, Wilson-Hodge CA, Bhat PN, Bissaldi E, Cleveland W, Fitzpatrick G, Giles MM, Gibby MH, Greiner J, von Kienlin A, Kippen RM, McBreen S, Mailyan B, Meegan CA, Paciesas WS, Preece RD, Roberts O, Sparke L, Stanbro M, Toelge K, Veres P, Yu HF, Blackburn L, Ackermann M, Ajello M, Albert A, Anderson B, Atwood WB, Axelsson M, Baldini L, Barbiellini G, Bastieri D, Bellazzini R, Blandford RD, Bloom ED, Bonino R, Bottacini E, Brandt TJ, Bruel P, Buson S, Caliandro GA, Cameron RA, Caragiulo M, Caraveo PA, Cavazzuti E, Charles E, Chekhtman A, Chiang J, Chiaro G, Ciprini S, Cohen-Tanugi J, Cominsky LR, Costanza F, Cuoco A, DAmmando F, de Palma F, Desiante R, Digel SW, Di Lalla N, Di Mauro M, Di Venere L, Dominguez A, Drell PS, Dubois R, Favuzzi C, Ferrara EC, Franckowiak A, Fukazawa Y, Funk S, Fusco P, Gargano F, Gasparrini D, Giglietto N, Giommi P, Giordano F, Giroletti M, Glanzman T, Godfrey G, Gomez-Vargas GA, Green D, Grenier IA, Grove JE, Guiriec S, Hadasch D, Harding AK, Hays E, Hewitt JW, Hill AB, Horan D, Jogler T, Johannesson G, Johnson AS, Kensei S, Kocevski D, Kuss M, La Mura G, Larsson S, Latronico L, Li J, Li L, Longo F, Loparco F, Lovellette MN, Lubrano P, Magill J, Maldera S, Manfreda A, Marelli M, Mayer M, Mazziotta MN, McEnery JE, Meyer M, Michelson PF, Mirabal N, Mizuno T, Moiseev AA, Monzani ME, Moretti E, Morselli A, Moskalenko IV, Negro M, Nuss E, Ohsugi T, Omodei N, Orienti M, Orlando E, Ormes JF, Paneque D, Perkins JS, Pesce-Rollins M, Piron F, Pivato G, Porter TA, Racusin JL, Raino S, Rando R, Razzaque S, Reimer A, Reimer O, Salvetti D, Parkinson PMS, Sgro C, Simone D, Siskind EJ, Spada F, Spandre G, Spinelli P, Suson DJ, Tajima H, Thayer JB, Thompson DJ, Tibaldo L, Torres DF, Troja E, Uchiyama Y, Venters TM, Vianello G, Wood KS, Wood M, Zhu S, Zimmer S, Brocato E, Cappellaro E, Covino S, Grado A, Nicastro L, Palazzi E, Pian E, Amati L, Antonelli LA, Capaccioli M, D'Avanzo P, D'Elia V, Getman F, Giuffrida G, Iannicola G, Limatola L, Lisi M, Marinoni S, Marrese P, Melandri A, Piranomonte S, Possenti A, Pulone L, Rossi A, Stamerra A, Stella L, Testa V, Tomasella L, Yang S, Bazzano A, Bozzo E, Brandt S, Courvoisier TJL, Ferrigno C, Hanlon L, Kuulkers E, Laurent P, Mereghetti S, Roques JP, Savchenko V, Ubertini P, Kasliwal MM, Singer LP, Cao Y, Duggan G, Kulkarni SR, Bhalerao V, Miller AA, Barlow T, Bellm E, Manulis I, Rana J, Laher R, Masci F, Surace J, Rebbapragada U, Van Sistine A, Sesar B, Perley D, Ferreti R, Prince T, Kendrick R, Horesh A, Hurley K, Golenetskii SV, Aptekar RL, Frederiks DD, Svinkin DS, Rau A, Zhang X, Smith DM, Cline T, Krimm H, Abe F, Doi M, Fujisawa K, Kawabata KS, Morokuma T, Motohara K, Tanaka M, Ohta K, Yanagisawa K, Yoshida M, Baltay C, Rabinowitz D, Ellman N, Rostami S, Bersier DF, Bode MF, Collins CA, Copperwheat CM, Darnley MJ, Galloway DK, Gomboc A, Kobayashi S, Mazzali P, Mundell CG, Piascik AS, Pollacco D, Steele IA, Ulaczyk K, Broderick JW, Fender RP, Jonker PG, Rowlinson A, Stappers BW, Wijers RAMJ, Lipunov V, Gorbovskoy E, Tyurina N, Kornilov V, Balanutsa P, Kuznetsov A, Buckley D, Rebolo R, Serra-Ricart M, Israelian G, Budnev NM, Gress O, Ivanov K, Poleshuk V, Tlatov A, Yurkov V, Kawai N, Serino M, Negoro H, Nakahira S, Mihara T, Tomida H, Ueno S, Tsunemi H, Matsuoka M, Croft S, Feng L, Franzen TMO, Gaensler BM, Johnston-Hollitt M, Kaplan DL, Morales MF, Tingay SJ, Wayth RB, Williams A, Smartt SJ, Chambers KC, Smith KW, Huber ME, Young DR, Wright DE, Schultz A, Denneau L, Flewelling H, Magnier EA, Primak N, Rest A, Sherstyuk A, Stalder B, Stubbs CW, Tonry J, Waters C, Willman M, Olivares F, Campbell H, Kotak R, Sollerman J, Smith M, Dennefeld M, Anderson JP, Botticella MT, Chen TW, Valle MD, Elias-Rosa N, Fraser M, Inserra C, Kankare E, Kupfer T, Harmanen J, Galbany L, Le Guillou L, Lyman JD, Maguire K, Mitra A, Nicholl M, Razza A, Terreran G, Valenti S, Gal-Yam A, Cwiek A, Cwiok M, Mankiewicz L, Opiela R, Zaremba M, Zarnecki AF, Onken CA, Scalzo RA, Schmidt BP, Wolf C, Yuan F, Evans PA, Kennea JA, Burrows DN, Campana S, Cenko SB, Marshall FE, Nousek J, O'Brien P, Osborne JP, Palmer D, Perri M, Siegel M, Tagliaferri G, Klotz A, Turpin D, Laugier R, Beroiz M, Penuela T, Macri LM, Oelkers RJ, Lambas DG, Vrech R, Cabral J, Colazo C, Dominguez M, Sanchez B, Gurovich S, Lares M, Marshall JL, Depoy DL, Padilla N, Pereyra NA, Benacquista M, Tanvir NR, Wiersema K, Levan AJ, Steeghs D, Hjorth J, Fynbo JPU, Malesani D, Milvang-Jensen B, Watson D, Irwin M, Fernandez CG, McMahon RG, Banerji M, Gonzalez-Solares E, Schulze S, Postigo AD, Thoene CC, Cano Z, and Rosswog S
- Subjects
TELESCOPE ,gravitational waves – methods: observational ,Astronomy ,media_common.quotation_subject ,observational [methods] ,GW150914 ,ADVANCED LIGO ,supplement ,01 natural sciences ,localization ,SEARCH ,Computer Science::Multimedia ,0103 physical sciences ,Broadband ,EM follow-up ,010303 astronomy & astrophysics ,gravitational wave ,QC ,media_common ,QB ,Physics ,010308 nuclear & particles physics ,Gravitational wave ,Astronomy and Astrophysics ,Gravitational waves ,methods: observational ,Space and Planetary Science ,Astronomy and Astrophysic ,Computational physics ,GW150914, localization, EM follow-up, supplement ,gravitational waves ,Sky ,ComputingMethodologies_DOCUMENTANDTEXTPROCESSING ,DARK ENERGY ,Transient (oscillation) ,Current (fluid) ,SYSTEM - Abstract
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No. of bitstreams: 0 Previous issue date: 2016-07-01 United States National Science Foundation (NSF) Science and Technology Facilities Council (STFC) of the United Kingdom Max-Planck Society State of Niedersachsen/Germany Australian Research Council Netherlands Organisation for Scientific Research EGO consortium Council of Scientific and Industrial Research of India Department of Science and Technology, India Science & Engineering Research Board (SERB), India Ministry of Human Resource Development, India Spanish Ministerio de Economia y Competitividad Conselleria d'Economia i Competitivitat and Conselleria d'Educacio Cultura i Universitats of the Govern de les Illes Balears National Science Centre of Poland European Commission Royal Society Scottish Funding Council Scottish Universities Physics Alliance Hungarian Scientific Research Fund (OTKA) Lyon Institute of Origins (LIO) National Research Foundation of Korea Industry Canada Province of Ontario through Ministry of Economic Development and Innovation National Science and Engineering Research Council Canada Canadian Institute for Advanced Research Brazilian Ministry of Science, Technology, and Innovation Russian Foundation for Basic Research Leverhulme Trust Research Corporation Ministry of Science and Technology (MOST), Taiwan Kavli Foundation Australian Government National Collaborative Research Infrastructure Strategy Government of Western Australia United States Department of Energy United States National Science Foundation Ministry of Science and Education of Spain Science and Technology Facilities Council of the United Kingdom Higher Education Funding Council for England National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign Kavli Institute of Cosmological Physics at the University of Chicago Center for Cosmology and Astro-Particle Physics at the Ohio State University Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University Financiadora de Estudos e Projetos Fundação de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Ministerio da Ciencia, Tecnologia e Inovacao Deutsche Forschungsgemeinschaft Collaborating Institutions in the Dark Energy Survey National Science Foundation MINECO Centro de Excelencia Severo Ochoa European Research Council under European Union's Seventh Framework Programme ERC NASA (United States) DOE (United States) IN2P3/CNRS (France) CEA/Irfu (France) ASI (Italy) INFN (Italy) MEXT (Japan) KEK (Japan) JAXA (Japan) Wallenberg Foundation Swedish Research Council National Space Board (Sweden) NASA in the United States DRL in Germany INAF for the project Gravitational Wave Astronomy with the first detections of adLIGO and adVIRGO experiments ESA (Denmark) ESA (France) ESA (Germany) ESA (Italy) ESA (Switzerland) ESA (Spain) German INTEGRAL through DLR grant US under NASA Grant National Science Foundation PIRE program grant Hubble Fellowship KAKENHI of MEXT Japan JSPS Optical and Near-Infrared Astronomy Inter-University Cooperation Program - MEXT UK Science and Technology Facilities Council ERC Advanced Investigator Grant Lomonosov Moscow State University Development programm Moscow Union OPTICA Russian Science Foundation National Research Foundation of South Africa Australian Government Department of Industry and Science and Department of Education (National Collaborative Research Infrastructure Strategy: NCRIS) NVIDIA at Harvard University University of Hawaii National Aeronautics and Space Administration's Planetary Defense Office Queen's University Belfast National Aeronautics and Space Administration through Planetary Science Division of the NASA Science Mission Directorate European Research Council under European Union's Seventh Framework Programme/ERC STFC grants European Union FP7 programme through ERC STFC through an Ernest Rutherford Fellowship FONDECYT Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO) NASA in the US This Supplement provides supporting material for Abbott et al. (2016a). We briefly summarize past electromagnetic (EM) follow-up efforts as well as the organization and policy of the current EM follow-up program. We compare the four probability sky maps produced for the gravitational-wave transient GW150914, and provide additional details of the EM follow-up observations that were performed in the different bands. UK Space Agency in the UK Agenzia Spaziale Italiana (ASI) in Italy Ministerio de Ciencia y Tecnologia (MinCyT) Consejo Nacional de Investigaciones Cientificas y Tecnologicas (CONICET) from Argentina USA NSF PHYS NSF ICREA Science and Technology Facilities Council UK Space Agency CALTECH, LIGO, Pasadena, CA 91125 USA Louisiana State Univ, Baton Rouge, LA 70803 USA Univ Salerno, I-84084 Salerno, Italy Ist Nazl Fis Nucl, Sez Napoli, Complesso Univ Monte S Angelo, I-80126 Naples, Italy Univ Florida, Gainesville, FL 32611 USA LIGO Livingston Observ, Livingston, LA 70754 USA Univ Savoie Mt Blanc, CNRS IN2P3, Lab Annecy le Vieux Phys Particules LAPP, F-74941 Annecy Le Vieux, France Max Planck Inst Gravitat Phys, Albert Einstein Inst, D-30167 Hannover, Germany Nikhef, Sci Pk, NL-1098 XG Amsterdam, Netherlands MIT, LIGO, 77 Massachusetts Ave, Cambridge, MA 02139 USA Inst Nacl Pesquisas Espaciais, BR-12227010 Sao Jose Dos Campos, SP, Brazil Ist Nazl Fis Nucl, Gran Sasso Sci Inst, I-67100 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10. Dark Energy Survey Year 1 Results: Measurement of the Baryon Acoustic Oscillation scale in the distribution of galaxies to redshift 1
- Author
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Erin Sheldon, David Brooks, M. E. C. Swanson, C. B. D'Andrea, I. Sevilla-Noarbe, Marcos Lima, Kwan Chuen Chan, Joseph J. Mohr, B. Flaugher, S. E. Kuhlmann, N. Kuropatkin, Tesla E. Jeltema, Santiago Avila, Carlos E. Cunha, L. N. da Costa, Juan Estrada, Ashley J. Ross, E. Suchyta, Daniel Gruen, August E. Evrard, Alistair R. Walker, Alex Drlica-Wagner, Michael Schubnell, H. Camacho, M. Sako, M. Carrasco Kind, D. L. Hollowood, S. Serrano, M. D. Johnson, Jochen Weller, F. J. Castander, Eric H. Neilsen, Martin Crocce, D. W. Gerdes, M. Banerji, Joshua A. Frieman, Ben Hoyle, A. Alarcon, Vinu Vikram, P. Fosalba, R. C. Smith, F. Lacasa, A. A. Plazas, Flavia Sobreira, Jack Elvin-Poole, E. Bertin, T. M. C. Abbott, D. L. Burke, A. Porredon, A. Roodman, Tommaso Giannantonio, Ramon Miquel, Peter Melchior, J. Annis, Marc Manera, Peter Doel, Nilanjan Banik, E. J. Sanchez, C. J. Miller, Brian Yanny, R. Cawthon, Jennifer L. Marshall, Ofer Lahav, N. Kokron, R. A. Bernstein, Shantanu Desai, H. T. Diehl, Darren L. DePoy, Basilio X. Santiago, Will J. Percival, V. Scarpine, M. A. G. Maia, Daniel Thomas, E. Buckley-Geer, S. Allam, Robert A. Gruendl, W. G. Hartley, J. P. Marriner, Enrique Gaztanaga, Juan Garcia-Bellido, Mathew Smith, Eduardo Rozo, C. Davis, Filipe B. Abdalla, Huan Lin, J. Gschwend, R. H. Schindler, Bhuvnesh Jain, Douglas L. Tucker, Gary Bernstein, Kyler Kuehn, Steve Kent, David J. James, Elisabeth Krause, G. Gutierrez, J. De Vicente, Yanxi Zhang, Tim Eifler, Michael Troxel, Risa H. Wechsler, A. K. Romer, Paul Martini, Rogerio Rosenfeld, J. Carretero, K. Bechtol, Eli S. Rykoff, A. Carnero Rosell, F. Andrade-Oliveira, Felipe Menanteau, Gregory Tarle, K. Honscheid, 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, Natl Optic Astron Observ, Univ London Univ Coll, Rhodes Univ, CSIC, IEEC, Fermilab Natl Accelerator Lab, LIneA, Universidade Estadual Paulista (Unesp), Univ Portsmouth, UAM, Univ Cambridge, Univ Florida, Univ Amsterdam, Leiden Univ, LSST, Observ Carnegie Inst Washington, Univ Penn, CNRS, UPMC Univ Paris 06, SLAC Natl Accelerator Lab, Stanford Univ, Universidade de São Paulo (USP), Observ Nacl, Natl Ctr Supercomp Applicat, Univ Illinois, Barcelona Inst Sci & Technol, Univ Chicago, Sun Yat Sen Univ, Ctr Invest Energet Med Medioambient & Tecnol CIEM, Texas A&M Univ, IIT Hyderabad, CALTECH, Steward Observ, Univ Manchester, Univ Michigan, Ludwig Maximilians Uni Munchen, Swiss Fed Inst Technol, Santa Cruz Inst Particle Phys, Ohio State Univ, Max Planck Inst Extraterrestrial Phys, Harvard Smithsonian Ctr Astrophys, Australian Astron Observ, Argonne Natl Lab, Univ Geneva, Princeton Univ, Inst Catalana Recerca & Estudis Avancats, Ludwig Maximilians Univ Munchen, Excellence Cluster Univ, Univ Sussex, Univ Arizona, Univ Fed Rio Grande do Sul, Brookhaven Natl Lab, Univ Southampton, Universidade Estadual de Campinas (UNICAMP), and Oak Ridge Natl Lab
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Library science ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,01 natural sciences ,0103 physical sciences ,media_common.cataloged_instance ,European union ,Astronomy observatory ,010303 astronomy & astrophysics ,STFC ,media_common ,Physics ,010308 nuclear & particles physics ,European research ,RCUK ,Astronomy and Astrophysics ,observations [cosmology] ,Space and Planetary Science ,Research council ,cosmology: observations ,Fundamental physics ,astro-ph.CO ,ESTRUTURA DO UNIVERSO ,Christian ministry ,large-scale structure of Universe ,National laboratory ,[PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present angular diameter distance measurements obtained by locating the BAO scale in the distribution of galaxies selected from the first year of Dark Energy Survey data. We consider a sample of over 1.3 million galaxies distributed over a footprint of 1318 deg$^2$ with $0.6 < z_{\rm photo} < 1$ and a typical redshift uncertainty of $0.03(1+z)$. This sample was selected, as fully described in a companion paper, using a color/magnitude selection that optimizes trade-offs between number density and redshift uncertainty. We investigate the BAO signal in the projected clustering using three conventions, the angular separation, the co-moving transverse separation, and spherical harmonics. Further, we compare results obtained from template based and machine learning photometric redshift determinations. We use 1800 simulations that approximate our sample in order to produce covariance matrices and allow us to validate our distance scale measurement methodology. We measure the angular diameter distance, $D_A$, at the effective redshift of our sample divided by the true physical scale of the BAO feature, $r_{\rm d}$. We obtain close to a 4 per cent distance measurement of $D_A(z_{\rm eff}=0.81)/r_{\rm d} = 10.75\pm 0.43 $. These results are consistent with the flat $��$CDM concordance cosmological model supported by numerous other recent experimental results. All data products are publicly available here: https://des.ncsa.illinois.edu/releases/y1a1/bao, accepted by MNRAS; main results unchanged, some restructuring, clarifications, and robustness tests added based on referee's comments; all data products are publicly available here: https://des.ncsa.illinois.edu/releases/y1a1/bao
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