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Using rest-frame optical and NIR data from the RAISIN survey to explore the redshift evolution of dust laws in SN Ia host galaxies
Stockholm University, Faculty of Science, The Oskar Klein Centre for Cosmo Particle Physics (OKC). Stockholm University, Faculty of Science, Department of Physics. Institute of Astronomy and Kavli Institute for Cosmology, UK.ORCID iD: 0009-0005-6323-0457
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Number of Authors: 52024 (English)In: Monthly notices of the Royal Astronomical Society, ISSN 0035-8711, E-ISSN 1365-2966, Vol. 530, no 4, p. 4016-4031Article in journal (Refereed) Published
Abstract [en]

We use rest-frame optical and near-infrared (NIR) observations of 42 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project at low-z and 37 from the RAISIN (SNIA in the IR) Survey at high-z to investigate correlations between SN Ia host galaxy dust, host mass, and redshift. This is the first time the SN Ia host galaxy dust extinction law at high-z has been estimated using combined optical and rest-frame NIR data (YJ band). We use the BAYESN hierarchical model to leverage the data’s wide rest-frame wavelength range (extending to ∼1.0–1.2 μm for the RAISIN sample at 0.2 ≲ z ≲ 0.6). By contrasting the RAISIN and Carnegie Supernova Project (CSP) data, we constrain the population distributions of the host dust RV parameter for both redshift ranges. We place a limit on the difference in population mean RV between RAISIN and CSP of −1.16 < Δμ(RV) < 1.38 with 95 per cent posterior probability. For RAISIN we estimate μ(RV) = 2.58 ± 0.57, and constrain the population standard deviation to σ(RV) < 0.90 [2.42] at the 68 [95] per cent level. Given that we are only able to constrain the size of the low- to high-z shift in μ(RV) to ≲1.4 – which could still propagate to a substantial bias in the equation-of-state parameter w – these and other recent results motivate continued effort to obtain rest-frame NIR data at low- and high-redshifts (e.g. using the Roman Space Telescope).

Place, publisher, year, edition, pages
2024. Vol. 530, no 4, p. 4016-4031
Keywords [en]
methods: statistical, supernovae: general, dust, extinction, distance scale
National Category
Astronomy, Astrophysics and Cosmology
Identifiers
URN: urn:nbn:se:su:diva-231526DOI: 10.1093/mnras/stae1111ISI: 001215169400014Scopus ID: 2-s2.0-85193063083OAI: oai:DiVA.org:su-231526DiVA, id: diva2:1885441
Available from: 2024-07-23 Created: 2024-07-23 Last updated: 2024-07-23Bibliographically approved

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Thorp, Stephen

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The Oskar Klein Centre for Cosmo Particle Physics (OKC)Department of Physics
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