Two c’s in a pod: cosmology-independent measurement of the Type Ia supernova colour–luminosity relation with a sibling pair

Biswas, Rahul; Goobar, A.; Dhawan, Suhail; Schulze, S.; Johansson, Joel; Bellm, Eric C.; Dekany, Richard; Drake, A. J.; Duev, Dmitry A.; Fremling, Christoffer; Graham, M. J.; Kim, Young-Lo; Kool, Erik C.; Kulkarni, S. R.; Mahabal, A.; Perley, D.; Rigault, M.; Sollerman, J.; Shupe, D. L.; Smith, M.; Walters, Richard

doi:10.1093/mnras/stab2943

Cited by 12 publications

(9 citation statements)

References 100 publications

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“…The large size of this sample also allows us to compare "sibling SNe"-that is, SNe belonging to the same host galaxy. As shown in various studies (Scolnic et al 2020;Burns et al 2020;Biswas et al 2021), sibling SNe provide powerful tests of our understanding of the relationships between SN properties and their host galaxies. With this large compilation, we can increase the statistics of sibling pairs (and triples).…”

Section: Introductionmentioning

confidence: 99%

The Pantheon+ Analysis: The Full Data Set and Light-curve Release

Scolnic

Brout

Carr

et al. 2022

ApJ

224

120

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Here we present 1701 light curves of 1550 unique, spectroscopically confirmed Type Ia supernovae (SNe Ia) that will be used to infer cosmological parameters as part of the Pantheon+ SN analysis and the Supernovae and H 0 for the Equation of State of dark energy distance-ladder analysis. This effort is one part of a series of works that perform an extensive review of redshifts, peculiar velocities, photometric calibration, and intrinsic-scatter models of SNe Ia. The total number of light curves, which are compiled across 18 different surveys, is a significant increase from the first Pantheon analysis (1048 SNe), particularly at low redshift (z). Furthermore, unlike in the Pantheon analysis, we include light curves for SNe with z < 0.01 such that SN systematic covariance can be included in a joint measurement of the Hubble constant (H 0) and the dark energy equation-of-state parameter (w). We use the large sample to compare properties of 151 SNe Ia observed by multiple surveys and 12 pairs/triplets of “SN siblings”—SNe found in the same host galaxy. Distance measurements, application of bias corrections, and inference of cosmological parameters are discussed in the companion paper by Brout et al., and the determination of H 0 is discussed by Riess et al. These analyses will measure w with ∼3% precision and H 0 with ∼1 km s−1 Mpc−1 precision.

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Section: Introductionmentioning

confidence: 99%

The Pantheon+ Analysis: The Full Data Set and Light-curve Release

Scolnic

Brout

Carr

et al. 2022

ApJ

224

120

View full text Add to dashboard Cite

show abstract

“…The large size of this sample also allows us to compare "sibling SNe" -that is, SNe belonging to the same host galaxy. As shown in various studies Burns et al 2020;Biswas et al 2021), sibling SNe provide powerful tests of our understanding of the relationships between SN properties and their host galaxies. With this large compilation, we can increase the statistics of sibling pairs (and triples).…”

Section: Introductionmentioning

confidence: 99%

The Pantheon+ Analysis: The Full Dataset and Light-Curve Release

Scolnic¹,

Brout²,

Carr³

et al. 2021

Preprint

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Here we present 1701 light curves of spectroscopically confirmed Type Ia supernovae (SNe Ia) that will be used to infer cosmological parameters as part of the Pantheon+ SN analysis and the SH0ES (Supernovae and H 0 for the Equation of State of dark energy) distance-ladder analysis. This effort is one part of a series of works that perform an extensive review of redshifts, peculiar velocities, photometric calibration, and intrinsic-scatter models of SNe Ia. The total number of light curves, which are compiled across 18 different surveys, is a significant increase from the first Pantheon analysis (1048 SNe), particularly at low redshift (z). Furthermore, unlike in the Pantheon analysis, we include light curves for SNe with z < 0.01 such that SN systematic covariance can be included in a joint measurement of the Hubble constant (H 0 ) and the dark energy equation-of-state parameter (w). We use the large sample to compare properties of 170 SNe Ia observed by multiple surveys and 12 pairs/triplets of "SN siblings" -SNe found in the same host galaxy. Distance measurements, application of bias corrections, and inference of cosmological parameters are discussed in the companion paper by Brout et al. (2022b), and the determination of H 0 is discussed by Riess et al. (2022). These analyses will measure w with ∼ 3% precision and H 0 with ∼ 1 km/s/Mpc precision.

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“…The ongoing development of robust statistical techniques for modelling dust and SN-host correlations, combined with the continual expansion of the NIR dataset, and the investigation of novel approaches for constraining SN Ia dust and intrinsic properties (e.g. the use of SN Ia siblings; Biswas et al 2022;Ward et al in prep. ), should enable us to finally address one of the outstanding questions of SN Ia cosmology.…”

Section: Discussionmentioning

confidence: 99%

Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves

Thorp¹,

Mandel

2022

Monthly Notices of the Royal Astronomical Society

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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 σR 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 μR = 2.59 ± 0.14, and standard deviation σR = 0.62 ± 0.16. Splitting this subsample at the median host galaxy mass (1010.57 M⊙) yields consistent estimated RV distributions between low- and high-mass galaxies, with μR = 2.79 ± 0.18, σR = 0.42 ± 0.24, and μR = 2.35 ± 0.27, σR = 0.74 ± 0.36, respectively. When estimating distances from the full optical–NIR light curves while marginalising 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.

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Two c’s in a pod: cosmology-independent measurement of the Type Ia supernova colour–luminosity relation with a sibling pair

Cited by 12 publications

References 100 publications

The Pantheon+ Analysis: The Full Data Set and Light-curve Release

The Pantheon+ Analysis: The Full Data Set and Light-curve Release

The Pantheon+ Analysis: The Full Dataset and Light-Curve Release

Constraining the SN Ia host galaxy dust law distribution and mass step: hierarchical BayeSN analysis of optical and near-infrared light curves

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