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The Dark Energy Survey Supernova Program: Investigating Beyond-$\Lambda$CDM
R Camilleri, T.M Davis, M Vincenzi, P Shah, J Frieman, R Kessler, P Armstrong, D Brout, A Carr, R Chen, L Galbany, K Glazebrook, S.R Hinton, J Lee, C Lidman, A Möller, B Popovic, H Qu, M Sako, D Scolnic, M Smith, M Sullivan, B.O Sánchez, G Taylor, M Toy, P Wiseman, T.M.C Abbott, M Aguena, S Allam, O Alves, J Annis, S Avila, D Bacon, E Bertin, S Bocquet, D Brooks, D.L Burke, A Carnero Rosell, J Carretero, F.J Castander, L.N da Costa, M.E.S Pereira, S Desai, H.T Diehl, P Doel, C Doux, S Everett, I Ferrero, B Flaugher, P Fosalba, J García-Bellido, M Gatti, E Gaztanaga, G Giannini, D Gruen, D.L Hollowood, K Honscheid, D.J James, K Kuehn, O Lahav, S Lee, J.L Marshall, J Mena-Fernández, R Miquel, J Muir, J Myles, R.L.C Ogando, A Pieres, A.A Plazas Malagón, A Porredon, M Rodriguez-Monroy, E Sanchez, D Sanchez Cid, M Schubnell, I Sevilla-Noarbe, E Suchyta, M.E.C Swanson, G Tarle, A.R Walker, N Weaverdyck

The Dark Energy Survey Supernova Program: Investigating Beyond-$\Lambda$CDM

Science & Mathematics Published 2024 Verification Pending

Overview & Synopsis

We report constraints on a variety of non-standard cosmological models using the full 5-year photometrically-classified type Ia supernova sample from the Dark Energy Survey (DES-SN5YR). Both Akaike Information Criterion (AIC) and Suspiciousness calculations find no strong evidence for or against any of the non-standard models we explore. When combined with external probes, the AIC and Suspiciousness agree that 11 of the 15 models are moderately preferred over Flat-$\Lambda$CDM suggesting additional flexibility in our cosmological models may be required beyond the cosmological constant. We also provide a detailed discussion of all cosmological assumptions that appear in the DES supernova cosmology analyses, evaluate their impact, and provide guidance on using the DES Hubble diagram to test non-standard models. An approximate cosmological model, used to perform bias corrections to the data holds the biggest potential for harbouring cosmological assumptions. We show that even if the approximate cosmological model is constructed with a matter density shifted by $\Delta\Omega_m\sim0.2$ from the true matter density of a simulated data set the bias that arises is sub-dominant to statistical uncertainties. Nevertheless, we present and validate a methodology to reduce this bias.

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Document Title The Dark Energy Survey Supernova Program: Investigating Beyond-$\Lambda$CDM
Author / Organization R Camilleri, T.M Davis, M Vincenzi, P Shah, J Frieman, R Kessler, P Armstrong, D Brout, A Carr, R Chen, L Galbany, K Glazebrook, S.R Hinton, J Lee, C Lidman, A Möller, B Popovic, H Qu, M Sako, D Scolnic, M Smith, M Sullivan, B.O Sánchez, G Taylor, M Toy, P Wiseman, T.M.C Abbott, M Aguena, S Allam, O Alves, J Annis, S Avila, D Bacon, E Bertin, S Bocquet, D Brooks, D.L Burke, A Carnero Rosell, J Carretero, F.J Castander, L.N da Costa, M.E.S Pereira, S Desai, H.T Diehl, P Doel, C Doux, S Everett, I Ferrero, B Flaugher, P Fosalba, J García-Bellido, M Gatti, E Gaztanaga, G Giannini, D Gruen, D.L Hollowood, K Honscheid, D.J James, K Kuehn, O Lahav, S Lee, J.L Marshall, J Mena-Fernández, R Miquel, J Muir, J Myles, R.L.C Ogando, A Pieres, A.A Plazas Malagón, A Porredon, M Rodriguez-Monroy, E Sanchez, D Sanchez Cid, M Schubnell, I Sevilla-Noarbe, E Suchyta, M.E.C Swanson, G Tarle, A.R Walker, N Weaverdyck
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2024
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-204270
Original Source Link Visit Source Page on hal.science »