The dark energy survey supernova program: investigating beyond-ΛCDM

ABSTRACT We report constraints on a variety of non-standard cosmological models using the full 5-yr 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 $\Delta \Omega _{\rm m}\sim 0.2$ from the true matter density of a simulated data set the bias that arises is subdominant to statistical uncertainties. Nevertheless, we present and validate a methodology to reduce this bias.

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Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2024-08-20
DOI
https://doi.org/10.1093/mnras/stae1988
Citations
26
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
8.62

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article

The dark energy survey supernova program: investigating beyond-ΛCDM

R Camilleri, A. Pieres, B. Sánchez, S. Everett et al.
26 citations
Monthly Notices of the Royal Astronomical Society
Gamma-ray bursts and supernovae
8.62
article

The dark energy survey supernova program: investigating beyond-ΛCDM

R Camilleri, A. Pieres, B. Sánchez, S. Everett, I. Ferrero, J. Muir, S. R. Hinton, A. Möller, Anthony Carr, L. Galbany, M. Gatti, J. Carretero, J. García-Bellido, S. Bocquet, D. Scolnic, S. Allam, L. N. da Costa, G. Giannini, Michael S. Schubnell, R Chen, P. Armstrong, D. Gruen, Karl Glazebrook, Francisco Javier Castander, Gregory Tarlé, E. Suchyta, A. Porredon, J L Marshall, O. Alves, P. Wiseman, A. R. Walker, Helen Qu, Matt J. Smith, P Shah, D. J. James, T. M. C. Abbott, D. Sanchez Cid, D. L. Burke, Eusebio Sanchez, G. Taylor, Dillon Brout, J. Mena-Fernández, Geraint F. Lewis, P. Fosalba, A. Carnero Rosell, ENRIQUE GAZTAÑAGA, K. Kuehn, M. Rodriguez-Monroy, M. Vincenzi, T. M. Davis, R. L. C. Ogando, J Myles, R. Miquel, M. E. S. Pereira, Christopher E. Lidman, H. T. Diehl, C. Doux, I. Sevilla-Noarbe, M. Toy, S Lee, B. Flaugher, B Popovic, E. Bertin, M. Sullivan, A A Plazas Malagón, N. Weaverdyck, D L Hollowood, O. Lahav, J. Annis, M. E. C. Swanson, Klaus Honscheid, P Doel, M. Aguena, D. Bacon, M. Sako, R Kessler, S Desai, J Lee, S. Àvila, Donal Brooks
article en
26 citations

Abstract

ABSTRACT We report constraints on a variety of non-standard cosmological models using the full 5-yr 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 $\Delta \Omega _{\rm m}\sim 0.2$ from the true matter density of a simulated data set the bias that arises is subdominant to statistical uncertainties. Nevertheless, we present and validate a methodology to reduce this bias.

Monthly Notices of the Royal Astronomical SocietyVol. 533(3)
Australian National University (AU), Institució Catalana de Recerca i Estudis Avançats (ES), Oak Ridge National Laboratory (US), Centre National de la Recherche Scientifique (FR), The University of Sydney (AU), Fermi National Accelerator Laboratory (US), Institute of Space Sciences (ES), Jet Propulsion Laboratory (US), Lawrence Berkeley National Laboratory (US), Universität Hamburg (DE), The University of Queensland (AU), Duke University (US), Perimeter Institute (CA), University of Oslo (NO), Institute for High Energy Physics (ES), Princeton University (US), University of Michigan (US), Lowell Observatory (US), Mitchell Institute (US), Institut d'Astrophysique de Paris (FR), SLAC National Accelerator Laboratory (US), Australian Astronomical Observatory (AU), Sorbonne Université (FR), University of Chicago (US), Valongo Observatory (BR), Institut d'Estudis Espacials de Catalunya (ES), Kavli Institute for Particle Astrophysics and Cosmology (US), Center for Astrophysics Harvard & Smithsonian (US), National Observatory (BR), Instituto de Astrofísica de Canarias (ES), Institut National de Physique Nucléaire et de Physique des Particules (FR), National Center for Supercomputing Applications (US), Cerro Tololo Inter-American Observatory (CL), Laboratoire de Physique Subatomique et de Cosmologie (FR), Laboratório Interinstitucional de e-Astronomia (BR), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES), University of Southampton (GB), University College London (GB), The Ohio State University (US), Swinburne University of Technology (AU), University of Portsmouth (GB), Universidad Autónoma de Madrid (ES), Indian Institute of Technology Hyderabad (IN), University of Pennsylvania (US), Ludwig-Maximilians-Universität München (DE), Université Grenoble Alpes (FR), Ruhr University Bochum (DE), Texas A&M University (US), University of California, Berkeley (US), Stanford University (US), Macquarie University (AU)
National Aeronautics and Space Administration, Albert Ellis Institute, Space Telescope Science Institute, Ministerio de Ciencia e Innovación, Australian Research Council, Agencia Estatal de Investigación
Affordable and clean energy
Openalex Percentile: Top 2%
Gamma-ray bursts and supernovae
8.62
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