Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves. Issue 2 (24th September 2022)
- Record Type:
- Journal Article
- Title:
- Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves. Issue 2 (24th September 2022)
- Main Title:
- Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves
- Authors:
- Thorp, Stephen
Mandel, Kaisey S - Abstract:
- ABSTRACT: We use the BayeSN hierarchical probabilistic SED model to analyse the optical–NIR ( BVriYJH ) light curves of 86 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project to investigate the SN Ia host galaxy dust law distribution and correlations between SN Ia Hubble residuals and host mass. Our Bayesian analysis simultaneously constrains the mass step and dust RV population distribution by leveraging optical–NIR colour information. We demonstrate how a simplistic analysis where individual RV values are first estimated for each SN separately, and then the sample variance of these point estimates is computed, overestimates the RV population variance $\sigma _R^2$ . This bias is exacerbated when neglecting residual intrinsic colour variation beyond that due to light curve shape. Instead, Bayesian shrinkage estimates of σ R are more accurate, with fully hierarchical analysis of the light curves being ideal. For the 75 SNe with low-to-moderate reddening (peak apparent B − V ≤ 0.3), we estimate an RV distribution with population mean μ R = 2.59 ± 0.14, and standard deviation σ R = 0.62 ± 0.16. Splitting this subsample at the median host galaxy mass (10 10.57 M⊙ ) yields consistent estimated RV distributions between low- and high-mass galaxies, with μ R = 2.79 ± 0.18, σ R = 0.42 ± 0.24, and μ R = 2.35 ± 0.27, σ R = 0.74 ± 0.36, respectively. When estimating distances from the full optical–NIR light curves while marginalizing over various forms of the dust RVABSTRACT: We use the BayeSN hierarchical probabilistic SED model to analyse the optical–NIR ( BVriYJH ) light curves of 86 Type Ia supernovae (SNe Ia) from the Carnegie Supernova Project to investigate the SN Ia host galaxy dust law distribution and correlations between SN Ia Hubble residuals and host mass. Our Bayesian analysis simultaneously constrains the mass step and dust RV population distribution by leveraging optical–NIR colour information. We demonstrate how a simplistic analysis where individual RV values are first estimated for each SN separately, and then the sample variance of these point estimates is computed, overestimates the RV population variance $\sigma _R^2$ . This bias is exacerbated when neglecting residual intrinsic colour variation beyond that due to light curve shape. Instead, Bayesian shrinkage estimates of σ R are more accurate, with fully hierarchical analysis of the light curves being ideal. For the 75 SNe with low-to-moderate reddening (peak apparent B − V ≤ 0.3), we estimate an RV distribution with population mean μ R = 2.59 ± 0.14, and standard deviation σ R = 0.62 ± 0.16. Splitting this subsample at the median host galaxy mass (10 10.57 M⊙ ) yields consistent estimated RV distributions between low- and high-mass galaxies, with μ R = 2.79 ± 0.18, σ R = 0.42 ± 0.24, and μ R = 2.35 ± 0.27, σ R = 0.74 ± 0.36, respectively. When estimating distances from the full optical–NIR light curves while marginalizing over various forms of the dust RV distribution, a mass step of ≳0.06 mag persists in the Hubble residuals at the median host mass. … (more)
- Is Part Of:
- Monthly notices of the Royal Astronomical Society. Volume 517:Issue 2(2022)
- Journal:
- Monthly notices of the Royal Astronomical Society
- Issue:
- Volume 517:Issue 2(2022)
- Issue Display:
- Volume 517, Issue 2 (2022)
- Year:
- 2022
- Volume:
- 517
- Issue:
- 2
- Issue Sort Value:
- 2022-0517-0002-0000
- Page Start:
- 2360
- Page End:
- 2382
- Publication Date:
- 2022-09-24
- Subjects:
- methods: statistical -- supernovae: general -- dust, extinction -- distance scale
Astronomy -- Periodicals
Periodicals
520.5 - Journal URLs:
- http://mnras.oxfordjournals.org/ ↗
http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1365-2966 ↗
http://www.blackwell-synergy.com/issuelist.asp?journal=mnr ↗
http://www.blackwell-synergy.com/loi/mnr ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/mnras/stac2714 ↗
- Languages:
- English
- ISSNs:
- 0035-8711
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5943.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24099.xml