Year: 2025
Type: article
Abstract: Type Ia supernovae (SNe Ia) are used to determine the distance-redshift relation and build the Hubble diagram. Neglecting their host-galaxy peculiar velocities (PVs) may bias the measurement of cosmological parameters. The smaller the redshift, the larger the effect is. We used realistic simulations of SNe Ia observed by the Zwicky Transient Facility (ZTF) to investigate the effect of different methods of taking PVs into account. We studied the impact of neglecting galaxy PVs and their correlations in an analysis of the SNe Ia Hubble diagram. We find that it is necessary to use the PV full covariance matrix computed from the velocity power spectrum to take the sample variance into account. Considering the results we have obtained using simulations, we determine the PV systematic effects in the context of the ZTF SN Ia DR2 sample. We determine the PV impact on the intercept of the Hubble diagram, aB, which is directly linked to the measurement of H0. We show that not taking into account PVs and their correlations results in a shift in the H0 value of about 1.0 km s−1 Mpc−1 and a slight underestimation of the H0 error bar.
Authors: B. Carreres, D. Rosselli, J. E. Bautista, F. Feinstein, D. Fouchez, B. Racine, C. Ravoux, B. Sanchez, G. Dimitriadis, A. Goobar, J. Johansson, J. Nordin, M. Rigault, M. Smith, M. Amenouche, M. Aubert, C. Barjou-Delayre, U. Burgaz, W. D’Arcy Kenworthy, T. De Jaeger, S. Dhawan, L. Galbany, M. Ginolin, D. Kuhn, M. Kowalski, T. E. Müller-Bravo, P. E. Nugent, B. Popovic, P. Rosnet, F. Ruppin, J. Sollerman, J. H. Terwel, A. Townsend, S. L. Groom, S. R. Kulkarni, J. Purdum, B. Rusholme, N. Sravan
Institutions: Centre National de la Recherche Scientifique, Duke University, Aix-Marseille Université, Centre de physique des particules de Marseille, Institut National de Physique Nucléaire et de Physique des Particules, Université Clermont Auvergne, Laboratoire de Physique de Clermont Auvergne, Trinity College Dublin, Stockholm University, Humboldt-Universität zu Berlin, Lyon 1 Université, Institut de Physique des 2 Infinis de Lyon, Lancaster University, Herzberg Institute of Astrophysics, National Research Council Canada, Laboratoire de Physique Nucléaire et de Hautes Énergies, Institute of Astronomy, Institute of Space Sciences, Deutsches Elektronen-Synchrotron DESY, Lawrence Berkeley National Laboratory, University of California, Berkeley, Nordic Optical Telescope, California Institute of Technology, Infrared Processing and Analysis Center, University of Cambridge, Drexel University
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Funders: National Science Foundation, California Institute of Technology, Northwestern University, Aix-Marseille Université, University of Washington, University of Warwick, European Commission, Trinity College Dublin, Agence Nationale de la Recherche, Weizmann Institute of Science, Generalitat de Catalunya, Knut och Alice Wallenbergs Stiftelse, Vetenskapsrådet, Ministerio de Ciencia e Innovación, Stockholms Universitet, Horizon 2020 Framework Programme, Deutsches Elektronen-Synchrotron, Agencia Estatal de Investigación, Institut National de Physique Nucléaire et de Physique des Particules, H2020 European Research Council
Awards: Charting new physics with time-domain astronomy, G1855990336, The SED Machine: an Efficient Transient Classifier, G2018370741, G2064873908, G2262748287, G2309174360, G2601397997, Exploring & Exploiting the Dynamic Optical Sky, G2849891921, G3005324705, G300979063, G3010527862, G3439265645, G3480869486, ZWICKY TRANSIENT FACILITY, G3518538256, G3681454997, G4042783231, G425668148, G430777504, Type Ia supernovae: from explosions to cosmology, G4881091899, G5077476177, G5080475149, G5421974903, Understanding Type Ia SuperNovae for Accurate Cosmology, G5805502524, G6159765138, G617610489, G6513613686, G6853635150, G7099350353, G7137047011, G7169023097, G7476612352, GREAT: Gravitational Radiation and Electromagnetic Astrophysical Transients, G8324017279, DEEP Learning For Large Deep Imaging Programs, G8511709958, G8775481269, A golden nearby SN sample from the Zwicky Transient Facility-II Survey (ZTF-II), G8924351487, G917015191
OpenAlex ID: W6959572480
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