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Measuring cosmological parameters with type Ia Supernovae in redMaGiC galaxies

Measuring cosmological parameters with type Ia Supernovae in redMaGiC galaxies
Measuring cosmological parameters with type Ia Supernovae in redMaGiC galaxies

Current and future cosmological analyses with Type Ia supernovae (SNe Ia) face three critical challenges: (i) measuring the redshifts from the SNe or their host galaxies; (ii) classifying the SNe without spectra; and (iii) accounting for correlations between the properties of SNe Ia and their host galaxies. We present here a novel approach that addresses each of these challenges. In the context of the Dark Energy Survey (DES), we analyze an SN Ia sample with host galaxies in the redMaGiC galaxy catalog, a selection of luminous red galaxies. redMaGiC photo-z estimates are expected to be accurate to σ Δz/(1+z) ∼ 0.02. The DES-5YR photometrically classified SN Ia sample contains approximately 1600 SNe, and 125 of these SNe are in redMaGiC galaxies. We demonstrate that redMaGiC galaxies almost exclusively host SNe Ia, reducing concerns relating to classification uncertainties. With this subsample, we find similar Hubble scatter (to within ∼0.01 mag) using photometric redshifts in place of spectroscopic redshifts. With detailed simulations, we show that the bias due to using redMaGiC photo-zs on the measurement of the dark energy equation of state w is up to Δw ∼ 0.01-0.02. With real data, we measure a difference in w when using the redMaGiC photo-zs versus the spec-zs of Δw = 0.005. Finally, we discuss how SNe in redMaGiC galaxies appear to comprise a more standardizable population, due to a weaker relation between color and luminosity (β) compared to the DES-3YR population by ∼5σ. These results establish the feasibility of performing redMaGiC SN cosmology with photometric survey data in the absence of spectroscopic data.

0004-637X
Chen, R.
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Scolnic, D.
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The Dark Energy Survey Collaboration
Chen, R.
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Scolnic, D.
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Rozo, E.
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Tucker, B.E.
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Abbott, T.M.C.
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Aguena, M.
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Chen, R., Scolnic, D. and Rozo, E. , The Dark Energy Survey Collaboration (2022) Measuring cosmological parameters with type Ia Supernovae in redMaGiC galaxies. Astrophysical Journal, 938 (1), [62]. (doi:10.3847/1538-4357/ac8b82).

Record type: Article

Abstract

Current and future cosmological analyses with Type Ia supernovae (SNe Ia) face three critical challenges: (i) measuring the redshifts from the SNe or their host galaxies; (ii) classifying the SNe without spectra; and (iii) accounting for correlations between the properties of SNe Ia and their host galaxies. We present here a novel approach that addresses each of these challenges. In the context of the Dark Energy Survey (DES), we analyze an SN Ia sample with host galaxies in the redMaGiC galaxy catalog, a selection of luminous red galaxies. redMaGiC photo-z estimates are expected to be accurate to σ Δz/(1+z) ∼ 0.02. The DES-5YR photometrically classified SN Ia sample contains approximately 1600 SNe, and 125 of these SNe are in redMaGiC galaxies. We demonstrate that redMaGiC galaxies almost exclusively host SNe Ia, reducing concerns relating to classification uncertainties. With this subsample, we find similar Hubble scatter (to within ∼0.01 mag) using photometric redshifts in place of spectroscopic redshifts. With detailed simulations, we show that the bias due to using redMaGiC photo-zs on the measurement of the dark energy equation of state w is up to Δw ∼ 0.01-0.02. With real data, we measure a difference in w when using the redMaGiC photo-zs versus the spec-zs of Δw = 0.005. Finally, we discuss how SNe in redMaGiC galaxies appear to comprise a more standardizable population, due to a weaker relation between color and luminosity (β) compared to the DES-3YR population by ∼5σ. These results establish the feasibility of performing redMaGiC SN cosmology with photometric survey data in the absence of spectroscopic data.

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Accepted/In Press date: 18 August 2022
e-pub ahead of print date: 13 October 2022
Additional Information: Funding Information: This paper has gone through internal review by the DES collaboration. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Projetos, Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovação, the Deutsche Forschungsgemeinschaft, and the Collaborating Institutions in the Dark Energy Survey. Funding Information: The DES data management system is supported by the National Science Foundation under grant Nos. AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MICINN under grant Nos. ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Program (FP7/2007–2013), including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ciência e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). Funding Information: D.S. is supported by DOE grant No. DE-SC0010007 and the David and Lucile Packard Foundation. D.S. is supported in part by NASA under Contract No. NNG17PX03C, issued through the WFIRST Science Investigation Teams Programme. E. Rozo is supported by NSF grant No. 2009401. E. Rozo is further supported by DOE grant No. DE-SC0009913 and by a Cottrell Scholar award. L.K. thanks the UKRI Future Leaders Fellowship for support through grant No. MR/T01881X/1. L.G. acknowledges financial support from the Spanish Ministry of Science and Innovation (MCIN) under the 2019 Ramón y Cajal program RYC2019-027683-I and from the Spanish MCIN project HOSTFLOWS PID2020-115253GA-I00.
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Identifiers

Local EPrints ID: 484163
URI: http://eprints.soton.ac.uk/id/eprint/484163
DOI: doi:10.3847/1538-4357/ac8b82
ISSN: 0004-637X
PURE UUID: 231a0694-1a3b-4167-9a6d-7a629c1a2ad2
ORCID for M. Sullivan: ORCID iD orcid.org/0000-0001-9053-4820
ORCID for P. Wiseman: ORCID iD orcid.org/0000-0002-3073-1512
ORCID for M. Smith: ORCID iD orcid.org/0000-0002-3321-1432

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Date deposited: 10 Nov 2023 18:13
Last modified: 18 Mar 2024 03:43

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Contributors

Author: R. Chen
Author: D. Scolnic
Author: E. Rozo
Author: E.S. Rykoff
Author: B. Popovic
Author: R. Kessler
Author: M. Vincenzi
Author: T.M. Davis
Author: P. Armstrong
Author: D. Brout
Author: L. Galbany
Author: L. Kelsey
Author: C. Lidman
Author: A. Möller
Author: B. Rose
Author: M. Sako
Author: M. Sullivan ORCID iD
Author: G. Taylor
Author: P. Wiseman ORCID iD
Author: J. Asorey
Author: A. Carr
Author: C. Conselice
Author: K. Kuehn
Author: G.F. Lewis
Author: E. Macaulay
Author: M. Rodriguez-Monroy
Author: B.E. Tucker
Author: T.M.C. Abbott
Author: M. Aguena
Author: S. Allam
Author: F. Andrade-Oliveira
Author: J. Annis
Author: D. Bacon
Author: E. Bertin
Author: S. Bocquet
Author: D. Brooks
Author: D.L. Burke
Author: A. Carnero Rosell
Author: M. Carrasco Kind
Author: J. Carretero
Author: R. Cawthon
Author: M. Costanzi
Author: L.N. da Costa
Author: M.E.S. Pereira
Author: S. Desai
Author: H.T. Diehl
Author: P. Doel
Author: S. Everett
Author: I. Ferrero
Author: B. Flaugher
Author: D. Friedel
Author: J. Frieman
Author: J. García-Bellido
Author: M. Gatti
Author: E. Gaztanaga
Author: D. Gruen
Author: S.R. Hinton
Author: D.L. Hollowood
Author: K. Honscheid
Author: D.J. James
Author: O. Lahav
Author: M. Lima
Author: M. March
Author: F. Menanteau
Author: R. Miquel
Author: R. Morgan
Author: A. Palmese
Author: F. Paz-Chinchón
Author: A. Pieres
Author: A.A. Plazas Malagón
Author: J. Prat
Author: A.K. Romer
Author: A. Roodman
Author: E. Sanchez
Author: M. Schubnell
Author: S. Serrano
Author: I. Sevilla-Noarbe
Author: M. Smith ORCID iD
Author: M. Soares-Santos
Author: E. Suchyta
Author: G. Tarle
Author: D. Thomas
Author: C. To
Author: D.L. Tucker
Author: T.N. Varga
Corporate Author: The Dark Energy Survey Collaboration

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