Sam M. Ward

most citedScalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

3 citations · 5 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.CO2024★ 3 cited

Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

Matthew Grayling, Stephen Thorp, Kaisey S. Mandel +5

We apply the hierarchical probabilistic SED model BayeSN to analyse a sample of 475 SNe Ia (0.015 < z < 0.4) from Foundation, DES3YR and PS1MD to investigate the properties of dust…

astro-ph.GA2023

Bird-Snack: Bayesian Inference of dust law $R_{V}$ Distributions using SN Ia Apparent Colours at peaK

Sam M. Ward, Suhail Dhawan, Kaisey S. Mandel +2

To reduce systematic uncertainties in Type Ia supernova (SN Ia) cosmology, the host galaxy dust law shape parameter, $R_{V}$ , must be accurately constrained. We thus develop a comput…

astro-ph.SR2023★ 2 cited

Keck Infrared Transient Survey I: Survey Description and Data Release 1

S. Tinyanont, R. J. Foley, K. Taggart +35

We present the Keck Infrared Transient Survey (KITS), a NASA Key Strategic Mission Support program to obtain near-infrared (NIR) spectra of astrophysical transients of all types, a…

Scalable hierarchical BayeSN inference: Investigating dependence of SN Ia host galaxy dust properties on stellar mass and redshift

Bird-Snack: Bayesian Inference of dust law RV​ Distributions using SN Ia Apparent Colours at peaK

Keck Infrared Transient Survey I: Survey Description and Data Release 1

Bird-Snack: Bayesian Inference of dust law $R_{V}$ Distributions using SN Ia Apparent Colours at peaK