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Title: DES Y1 results: Splitting growth and geometry to test Λ CDM

Journal Article · · Physical Review D
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We analyze Dark Energy Survey (DES) data to constrain a cosmological model where a subset of parameters—focusing on Ωm—are split into versions associated with structure growth (e.g., Ω$$^{grow}_m$$) and expansion history (e.g., Ω$$^{geo}_m$$). Once the parameters have been specified for the ΛCDM cosmological model, which includes general relativity as a theory of gravity, it uniquely predicts the evolution of both geometry (distances) and the growth of structure over cosmic time. Any inconsistency between measurements of geometry and growth could therefore indicate a breakdown of that model. Our growth-geometry split approach therefore serves both as a (largely) model-independent test for beyond-ΛCDM physics, and as a means to characterize how DES observables provide cosmological information. We analyze the same multiprobe DES data as [Phys. Rev. Lett. 122, 171301 (2019)] : DES Year 1 (Y1) galaxy clustering and weak lensing, which are sensitive to both growth and geometry, as well as Y1 BAO and Y3 supernovae, which probe geometry. We additionally include external geometric information from BOSS DR12 BAO and a compressed Planck 2015 likelihood, and external growth information from BOSS DR12 RSD. We find no significant disagreement with Ω$$^{grow}_m$$=Ω$$^{geo}_m$$. When DES and external data are analyzed separately, degeneracies with neutrino mass and intrinsic alignments limit our ability to measure Ω$$^{grow}_m$$, but combining DES with external data allows us to constrain both growth and geometric quantities. We also consider a parametrization where we split both Ωm and w, but find that even our most constraining data combination is unable to separately constrain Ω$$^{grow}_m$$ and wgrow. Relative to ΛCDM, splitting growth and geometry weakens bounds on σ8 but does not alter constraints on h.

Research Organization:
SLAC National Accelerator Lab., Menlo Park, CA (United States); Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Carnegie Mellon Univ., Pittsburgh, PA (United States); Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP); National Science Foundation (NSF); Gordon and Betty Moore Foundation; USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR)
Contributing Organization:
DES Collaboration
Grant/Contract Number:
AC02-07CH11359; DGE-1144245; OPP-1248097; PHY-0114422; PHY-1125897; GBMF947; SC0015640; AC02-76SF00515; AC02-05CH11231; FP7/2007-2013; 465376/2014-2; SEV-2016-0588; SEV-2016-0597; MDM-2015-0509; PGC2018-094773; PGC2018-102021; ESP2017-89838; AST-1536171; AST-1138766; 291329; 240672; 306478; 2012B-0001; AC05-00OR22725; SC0010118; SC0019193
OSTI ID:
1706145
Alternate ID(s):
OSTI ID: 1778824; OSTI ID: 1807210; OSTI ID: 1837675; OSTI ID: 1872416
Report Number(s):
FERMILAB-PUB-20-529-AE; DES-2019-0520; oai:inspirehep.net:1822496; TRN: US2204582
Journal Information:
Physical Review D, Vol. 103, Issue 2; ISSN 2470-0010
Publisher:
American Physical Society (APS)Copyright Statement
Country of Publication:
United States
Language:
English

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