Accès ouvert déclaré 2026 article

Dark Energy Survey Year 3: Blue shear

J. McCullough, A. Amon, Elisa Legnani, D Gruen, A Roodman, O Friedrich, N. MacCrann, M. R. Becker, J. Myles, Scott Dodelson, S Samuroff, J Blazek, J Prat, A Pieres, A. Ferté, A. Alarcon, A Drlica-Wagner, A Choi, A Navarro-Alsina, A. Campos, Ashley J. Ross, A. Carnero Rosell, B Yin, B Flaugher, B. Yanny, C. Sánchez, C. Chang, Christopher Davis, C. To, C. Doux, David J. Brooks, D. J. James, D Sanchez Cid, D.L Hollowood, Dragan Huterer, E. S. Rykoff, E Gaztanaga, Eric Huff, E. Suchyta, E. Sheldon, E. Sánchez, F. Tarsitano, F. Andrade-Oliveira, F. J. Castander, G. M. Bernstein, G Gutierrez, G Giannini, G. Tarlé, H. T. Diehl, Hung-Jin Huang, I Harrison, I. Sevilla-Noarbe, I. Tutusaus, I. Ferrero, J Elvin-Poole, J. L. Marshall, J. Muir, J Weller, J Zuntz, J. Carretero, Joseph DeRose, J. Cordero, J. De Vicente, J. García-Bellido, J. Mena-Fernández, K. Eckert, A. K. Romer, K. Bechtol, K Herner, K. Kuehn, L. F. Secco, L. N. da Costa, M. Paterno, M. Soares-Santos, M. Gatti, Marco Raveri, M. Yamamoto, M. Smith, M. Carrasco Kind, M. A. Troxel, Mike Jarvis, M. E. C. Swanson, N. Weaverdyck, O Lahav, P. Doel, P. Wiseman, R Miquel, R. A. Gruendl, R Cawthon, S. Allam, S. R. Hinton, S. L. Bridle, S. Bocquet, S Desai, S Pandey, S Everett, S Lee, T Shin, M Aguena, O. Alves, E. Buckley‐Geer, D. L. Burke, C Conselice, M. Crocce, M. E. S. Pereira, Arya Farahi, N Jeffrey, M. Lima, A Palmese, M Schubnell, V Vikram, M Vincenzi

11Citations signalées — pas une note de qualité

73Institutions déclarées

14Pays d’affiliation déclarés

Résumé fourni par la source

Modeling the intrinsic alignment (IA) of galaxies poses a challenge to weak lensing analyses. The Dark Energy Survey is expected to be less impacted by IA when limited to blue, star-forming galaxies. The cosmological parameter constraints from this blue cosmic shear sample are stable to IA model choice, unlike passive galaxies in the full DES Y3 sample, the goodness-of-fit is improved and the $Ω_{m}$ and $S_8$ better agree with the cosmic microwave background. Mitigating IA with sample selection, instead of flexible model choices, can reduce uncertainty in $S_8$ by a factor of 1.5.

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Contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref: Dark Energy Survey Year 3: Blue shear
Date Crossref: 06/05/2026
Éditeur: American Physical Society (APS)
Type: journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

Princeton University SLAC National Accelerator Laboratory Stanford University Barcelona Institute of Science and Technology Institute of Science and Technology Excellence Cluster Origins Ludwig-Maximilians-Universität München University of Cambridge Argonne National Laboratory Carnegie Mellon University Universidad del Noreste University of Chicago KTH Royal Institute of Technology National Observatory Laboratório Interinstitucional de e-Astronomia Institute of Space Sciences Fermi National Accelerator Laboratory Goddard Space Flight Center Universidade Estadual de Campinas (UNICAMP)Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas Ruhr University Bochum The Ohio State University Instituto de Astrofísica de Canarias California University of Pennsylvania Institut des langues et cultures d'Europe, Amérique, Afrique, Asie et Australie Université Grenoble Alpes University College London Center for Astrophysics Harvard & Smithsonian Laboratoire de Physique Subatomique et de Cosmologie Institute of Particle Physics University of Michigan Institut d'Estudis Espacials de Catalunya University of Portsmouth California Institute of Technology Oak Ridge National Laboratory Brookhaven National Laboratory ETH Zurich University of Arizona Cardiff University Université Fédérale de Toulouse Midi-Pyrénées Centre for Theoretical Physics and Astrophysics University of Waterloo West Coast University Institut de Recherche en Astrophysique et Planétologie Mitchell Institute Texas A&M University Perimeter Institute Max Planck Institute for Extraterrestrial Physics University of Edinburgh Lawrence Berkeley National Laboratory University of Manchester Universidad Autónoma de Madrid University of Sussex University of Wisconsin–Madison Lowell Observatory Macquarie University Istituto Nazionale di Fisica Nucleare, Sezione di Genova Duke University Lancaster University University of Illinois Urbana-Champaign University of California System University of Southampton Institució Catalana de Recerca i Estudis Avançats William Jewell College The University of Queensland Indian Institute of Technology Hyderabad Stony Brook University University of Nottingham Universität Hamburg The University of Texas at Austin Universidade de São Paulo University of Oxford NSF NOIRLab

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