Dark Energy Survey year 1 results: Cosmological constraints from galaxy clustering and weak lensing
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We present cosmological results from a combined analysis of galaxy clustering and weak gravitational lensing, using 1321 deg$^2$ of $griz$ imaging data from the first year of the Dark Energy Survey (DES Y1). We combine three two-point functions: (i) the cosmic shear correlation function of 26 million source galaxies in four redshift bins, (ii) the galaxy angular autocorrelation function of 650,000 luminous red galaxies in five redshift bins, and (iii) the galaxy-shear cross-correlation of luminous red galaxy positions and source galaxy shears. To demonstrate the robustness of these results, we use independent pairs of galaxy shape, photometric redshift estimation and validation, and likelihood analysis pipelines. To prevent confirmation bias, the bulk of the analysis was carried out while blind to the true results; we describe an extensive suite of systematics checks performed and passed during this blinded phase. The data are modeled in flat $Λ$CDM and $w$CDM cosmologies, marginalizing over 20 nuisance parameters, varying 6 (for $Λ$CDM) or 7 (for $w$CDM) cosmological parameters including the neutrino mass density and including the 457 $\times$ 457 element analytic covariance matrix. We find consistent cosmological results from these three two-point functions, and from their combination obtain $S_8 \equiv σ_8 (Ω_m/0.3)^{0.5} = 0.783^{+0.021}_{-0.025}$ and $Ω_m = 0.264^{+0.032}_{-0.019}$ for $Λ$CDM for $w$CDM, we find $S_8 = 0.794^{+0.029}_{-0.027}$, $Ω_m = 0.279^{+0.043}_{-0.022}$, and $w=-0.80^{+0.20}_{-0.22}$ at 68% CL. The precision of these DES Y1 results rivals that from the Planck cosmic microwave background measurements, allowing a comparison of structure in the very early and late Universe on equal terms. Although the DES Y1 best-fit values for $S_8$ and $Ω_m$ are lower than the central values from Planck ...
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Joint analysis of shear-shear, galaxy-shear, and galaxy-galaxy correlation functions has become standard in analyses of precursor data sets.
“The joint analysis of shear -shear, galaxy -shear, and galaxy -galaxy correlation functions has become standard in analyses of precursor data sets ( e.g., DES Collaboration et al. 2018; Joudaki et al. 2018 ) .”
From LSST: From Science Drivers to Reference Design and Anticipated Data Products (2019) · cites this paper as DES Collaboration et al. 2018
DES provides a compelling proof of concept for the LSST dark energy program.
“The DES ( see, e.g., DES Collaboration et al. 2018, and references therein ) provides a compelling proof of concept for this program.”
From LSST: From Science Drivers to Reference Design and Anticipated Data Products (2019) · cites this paper as DES Collaboration et al. 2018
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Methods for cluster cosmology and application to the SDSS in preparation for DES Year 1 release
Costanzi, M., Rozo, E., Simet, M., Zhang, Y., EVRARD, A. E., Mantz, A. B., Rykoff, E. S., Jeltema, T., Gruen, D., Allen, S. W., et al. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz1949 · Cited by 144 · see citing works
Self-citationThe Aemulus Project. I. Numerical Simulations for Precision Cosmology
DeRose, J., Wechsler, R. H., Tinker, J. L., Becker, M. R., Mao, Y.-Y., McClintock, T., McLaughlin, S., Rozo, E., & Zhai, Z. (2019) · The Astrophysical Journal · doi:10.3847/1538-4357/ab1085 · Cited by 143 · see citing works
Self-citationAlleviating the H 0 and σ 8 anomalies with a decaying dark matter model
Pandey, K. L., Karwal, T., & Das, S. (2020) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2020/07/026 · Cited by 151 · see citing works
Chudaykin, A., & Ivanov, M. M. (2019) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2019/11/034 · Cited by 142 · see citing works
Can f(Q) gravity challenge ΛCDM ?
Atayde, L., & Frusciante, N. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.104.064052 · Cited by 141 · see citing works
Early modified gravity in light of the H0 tension and LSS data
Braglia, M., Ballardini, M., Finelli, F., & Koyama, K. (2021) · Physical review. D/Physical review. D. · doi:10.1103/physrevd.103.043528 · Cited by 138 · see citing works
CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST
Korytov, D., Hearin, A. P., Kovacs, E. V., Larsen, P., Rangel, E., Hollowed, J., Benson, A., Heitmann, K., Mao, Y.-Y., Bahmanyar, A., et al. (2019) · The Astrophysical Journal Supplement Series · doi:10.3847/1538-4365/ab510c · Cited by 135 · see citing works
Self-citationMassiveNuS: cosmological massive neutrino simulations
Liu, J., Bird, S., Matilla, J. M. Z., Hill, J. C., Haiman, Z., Madhavacheril, M. S., Petri, A., & Spergel, D. N. (2018) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2018/03/049 · Cited by 133 · see citing works
CosmoFlow: Using Deep Learning to Learn the Universe at Scale
Mathuriya, A., Bard, D., Mendygral, P., Meadows, L., Arnemann, J., Shao, L., He, S., Karna, T., Moise, D., Pennycook, S. J., et al. (2018) · SC18: International Conference for High Performance Computing, Networking, Storage and Analysis · doi:10.1109/sc.2018.00068 · Cited by 132 · see citing works
Said, K., Colless, M., Magoulas, C., Lucey, J. R., & Hudson, M. J. (2020) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/staa2032 · Cited by 131 · see citing works
- Authors
- Abbott, T. M. C., Abdalla, F. B., Alarcon, A., Aleksić, J., Allam, S., Allen, S., Amara, A., Annis, J., Asorey, J., Avila, S., Bacon, D., Balbinot, E., Banerji, M., Banik, N., Barkhouse, W., Baumer, M., Baxter, E., Bechtol, K., Becker, M. R., Benoit-Lévy, A., Benson, B. A., Bernstein, G. M., Bertin, E., Blazek, J., Bridle, S. L., Brooks, D., Brout, D., Buckley-Geer, E., Burke, D. L., Busha, M. T., Campos, A., Capozzi, D., Carnero Rosell, A., Carrasco Kind, M., Carretero, J., Castander, F. J., Cawthon, R., Chang, C., Chen, N., Childress, M., Choi, A., Conselice, C., Crittenden, R., Crocce, M., Cunha, C. E., D’Andrea, C. B., da Costa, L. N., Das, R., 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., Elsner, F., Elvin-Poole, J., Estrada, J., Evrard, A. E., Fang, Y., Fernandez, E., Ferté, A., Finley, D. A., Flaugher, B., Fosalba, P., Friedrich, O., Frieman, J., García-Bellido, J., Garcia-Fernandez, M., Gatti, M., Gaztanaga, E., Gerdes, D. W., Giannantonio, T., Gill, M. S. S., Glazebrook, K., Goldstein, D. A., Gruen, D., Gruendl, R. A., Gschwend, J., Gutierrez, G., Hamilton, S., Hartley, W. G., Hinton, S. R., Honscheid, K., Hoyle, B., Huterer, D., Jain, B., James, D. J., Jarvis, M., Jeltema, T., Johnson, M. D., Johnson, M. W. G., Kacprzak, T., Kent, S., Kim, A. G., King, A., Kirk, D., Kokron, N., Kovacs, A., Krause, E., Krawiec, C., Kremin, A., Kuehn, K., Kuhlmann, S., Kuropatkin, N., Lacasa, F., Lahav, O., Li, T. S., Liddle, A. R., Lidman, C., Lima, M., Lin, H., MacCrann, N., Maia, M. A. G., Makler, M., Manera, M., March, M., Marshall, J. L., Martini, P., McMahon, R. G., Melchior, P., Menanteau, F., Miquel, R., Miranda, V., Mudd, D., Muir, J., Möller, A., Neilsen, E., Nichol, R. C., Nord, B., Nugent, P., Ogando, R. L. C., Palmese, A., Peacock, J., Peiris, H. V., Peoples, J., Percival, W. J., Petravick, D., Plazas, A. A., Porredon, A., Prat, J., Pujol, A., Rau, M. M., Refregier, A., Ricker, P. M., Roe, N., Rollins, R. P., Romer, A. K., Roodman, A., Rosenfeld, R., Ross, A. J., Rozo, E., Rykoff, E. S., Sako, M., Salvador, A. I., Samuroff, S., Sánchez, C., Sanchez, E., Santiago, B., Scarpine, V., Schindler, R., Scolnic, D., Secco, L. F., Serrano, S., Sevilla-Noarbe, I., Sheldon, E., Smith, R. C., Smith, M., Smith, J., Soares-Santos, M., Sobreira, F., Suchyta, E., Tarle, G., Thomas, D., Troxel, M. A., Tucker, D. L., Tucker, B. E., Uddin, S. A., Varga, T. N., Vielzeuf, P., Vikram, V., Vivas, A. K., Walker, A. R., Wang, M., Wechsler, R. H., Weller, J., Wester, W., Wolf, R. C., Yanny, B., Yuan, F., Zenteno, A., Zhang, B., Zhang, Y., Zuntz, J., & Dark Energy Survey Collaboration <a href="#n1">1</a>
- Affiliations
- Cerro Tololo Inter-American Observatory (CL)
- Rhodes University (ZA)
- Institute of Space Sciences (ES)
- Institute for High Energy Physics (ES)
- Fermi National Accelerator Laboratory (US)
- Stanford University (US)
- ETH Zurich (CH)
- The University of Queensland (AU)
- Consejo Superior de Investigaciones Científicas (ES)
- University of Portsmouth (GB)
- University of Surrey (GB)
- University of Cambridge (GB)
- University of North Dakota (US)
- SLAC National Accelerator Laboratory (US)
- University of Pennsylvania (US)
- Large Synoptic Survey Telescope Corporation (US)
- Kavli Institute for Particle Astrophysics and Cosmology (US)
- Centre National de la Recherche Scientifique (FR)
- École Polytechnique Fédérale de Lausanne (CH)
- University of Manchester (GB)
- University College London (GB)
- Laboratório Interinstitucional de e-Astronomia (BR)
- University of Chicago (US)
- University of Southampton (GB)
- The Ohio State University (US)
- University of Nottingham (GB)
- University of Michigan (US)
- Texas A&M University (US)
- Indian Institute of Technology Hyderabad (IN)
- Excellence Cluster Universe (DE)
- California Institute of Technology (US)
- University of Edinburgh (GB)
- Max Planck Institute for Extraterrestrial Physics (DE)
- Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES)
- Swinburne University of Technology (AU)
- Lawrence Berkeley National Laboratory (US)
- University of Illinois Urbana-Champaign (US)
- National Observatory (BR)
- Ludwig-Maximilians-Universität München (DE)
- University of Washington (US)
- University of California, Santa Cruz (US)
- National Center for Supercomputing Applications (US)
- Universidade de São Paulo (BR)
- Australian Astronomical Observatory (AU)
- Argonne National Laboratory (US)
- ICTP South American Institute for Fundamental Research (BR)
- Centro Brasileiro de Pesquisas Físicas (BR)
- Princeton University (US)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Australian National University (AU)
- Jet Propulsion Laboratory (US)
- University of Sussex (GB)
- University of Arizona (US)
- Universidade Federal do Rio Grande do Sul (BR)
- Brookhaven National Laboratory (US)
- Austin Peay State University (US)
- Universidade Estadual de Campinas (UNICAMP) (BR)
- Oak Ridge National Laboratory (US)
- Chinese Academy of Sciences (CN)
- ORCID
- Abbott, T. M. C.
- Abdalla, F. B.
- Alarcon, A.
- Aleksić, J.
- Allam, S.
- Allen, S.
- Amara, A.
- Annis, J.
- Asorey, J.
- Avila, S.
- Bacon, D.
- Balbinot, E.
- Banerji, M.
- Barkhouse, W.
- Baxter, E.
- Bechtol, K.
- Becker, M. R.
- Benoit-Lévy, A.
- Benson, B. A.
- Bernstein, G. M.
- Bertin, E.
- Blazek, J.
- Bridle, S. L.
- Brooks, D.
- Brout, D.
- Burke, D. L.
- Campos, A.
- Capozzi, D.
- Carretero, J.
- Castander, F. J.
- Cawthon, R.
- Chang, C.
- Chen, N.
- Childress, M.
- Choi, A.
- Conselice, C.
- Crittenden, R.
- Crocce, M.
- D’Andrea, C. B.
- Davis, T. M.
- Davis, C.
- 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.
- Elsner, F.
- Elvin-Poole, J.
- Evrard, A. E.
- Fernandez, E.
- Ferté, A.
- Finley, D. A.
- Flaugher, B.
- Fosalba, P.
- Frieman, J.
- García-Bellido, J.
- Garcia-Fernandez, M.
- Gatti, M.
- Gerdes, D. W.
- Giannantonio, T.
- Gill, M. S. S.
- Glazebrook, K.
- Goldstein, D. A.
- Gruen, D.
- Gruendl, R. A.
- Gschwend, J.
- Gutierrez, G.
- Hartley, W. G.
- Hinton, S. R.
- Honscheid, K.
- Hoyle, B.
- Jain, B.
- James, D. J.
- Jarvis, M.
- Jeltema, T.
- Johnson, M. D.
- Johnson, M. W. G.
- Kacprzak, T.
- Kent, S.
- Kim, A. G.
- King, A.
- Kokron, N.
- Krause, E.
- Kuehn, K.
- Kuropatkin, N.
- Lacasa, F.
- Lahav, O.
- Liddle, A. R.
- Lidman, C.
- Lima, M.
- Lin, H.
- MacCrann, N.
- Maia, M. A. G.
- Manera, M.
- March, M.
- Marshall, J. L.
- Martini, P.
- McMahon, R. G.
- Melchior, P.
- Menanteau, F.
- Miquel, R.
- Miranda, V.
- Mudd, D.
- Muir, J.
- Möller, A.
- Neilsen, E.
- Nichol, R. C.
- Nord, B.
- Nugent, P.
- Ogando, R. L. C.
- Palmese, A.
- Peacock, J.
- Peiris, H. V.
- Percival, W. J.
- Petravick, D.
- Plazas, A. A.
- Porredon, A.
- Prat, J.
- Pujol, A.
- Rau, M. M.
- Refregier, A.
- Ricker, P. M.
- Rollins, R. P.
- Romer, A. K.
- Roodman, A.
- Rosenfeld, R.
- Ross, A. J.
- Rozo, E.
- Rykoff, E. S.
- Sako, M.
- Samuroff, S.
- Sánchez, C.
- Sanchez, E.
- Santiago, B.
- Schindler, R.
- Scolnic, D.
- Secco, L. F.
- Serrano, S.
- Sevilla-Noarbe, I.
- Sheldon, E.
- Smith, R. C.
- Smith, M.
- Smith, J.
- Soares-Santos, M.
- Sobreira, F.
- Suchyta, E.
- Thomas, D.
- Troxel, M. A.
- Tucker, D. L.
- Tucker, B. E.
- Uddin, S. A.
- Varga, T. N.
- Vielzeuf, P.
- Vikram, V.
- Vivas, A. K.
- Walker, A. R.
- Wechsler, R. H.
- Weller, J.
- Wester, W.
- Wolf, R. C.
- Yanny, B.
- Yuan, F.
- Zenteno, A.
- Zhang, B.
- Zuntz, J.
- Venue
- Physical Review D
- Publisher
- American Physical Society (APS)
- Published
- 2018-08-27
- Volume
- 98
- Issue
- 4
- Pages
- 043526
- ISSN
- 2470-0010 (ISSN-L)
- 2470-0029
- OpenAlex
- W2744012041
- Cited by
- 1,213
- References
- 153
- Citations by year
- 2026: 51 · 2025: 96 · 2024: 106 · 2023: 103 · 2022: 128 · 2021: 231 · 2020: 189 · 2019: 190 · 2018: 102 · 2017: 11 · 2016: 4 · 2015: 1
- FWCI
- 95.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Physical review. D/Physical review. D. (publishedVersion)
- arXiv (Cornell University) (publishedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (publishedVersion, other-oa)
- Americanae (AECID Library) (publishedVersion, other-oa)
- Research Archive of Indian Institute of Technology Hyderabad (Indian Institute of Technology Hyderabad) (acceptedVersion)
- Repository of the Academy's Library (Library of the Hungarian Academy of Sciences) (acceptedVersion)
- UA Campus Repository (The University of Arizona) (acceptedVersion)
- HAL AMU (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Sussex Research Online (University of Sussex) (submittedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- UND Scholarly Commons (University of North Dakota) (submittedVersion)
- HAL (submittedVersion, cc-by)
- Americanae (AECID Library) (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- Figshare (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- ANU Open Research (Australian National University) (submittedVersion)
- Research Explorer (The University of Manchester) (submittedVersion, other-oa)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, other-oa)
- Swinburne figshare (Swinburne University of Technology) (submittedVersion)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by-nc-sa)
- arXiv (Cornell University)
- Funders
- U.S. Department of Energy (DE-AC02-05CH11231, DE-AC02-07CH11359)
- National Science Foundation (AST-1138766, AST-1536171)
- Science and Technology Facilities Council
- Higher Education Funding Council for England
- Financiadora de Estudos e Projetos
- Ministry of Science and Education of Spain
- Topics
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Cosmology and Gravitation Theories
- Physical Sciences › Physics and Astronomy › Astronomy and Astrophysics › Galaxies: Formation, Evolution, Phenomena
- Physical Sciences › Physics and Astronomy › Nuclear and High Energy Physics › Dark Matter and Cosmic Phenomena
- Keywords
- Dark Energy Survey, cosmological constraints, galaxy clustering, weak gravitational lensing, dark energy, large-scale structure
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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