papers

Publications (18)

astro-ph.IM2026

Opportunities in AI/ML for the Rubin LSST Dark Energy Science Collaboration

LSST Dark Energy Science Collaboration, Eric Aubourg, Camille Avestruz +63

astro-ph.CO2026

FlowSN: Neural Simulation-Based Inference under Realistic Selection Effects applied to Supernova Cosmology

Benjamin M. Boyd, Kaisey S. Mandel, Matthew Grayling +10

astro-ph.CO2026

On the origin of the environmental step: A BayeSN view of the ZTF SN Ia DR2

Madeleine Ginolin, Matthew Grayling, Kaisey S. Mandel +5

astro-ph.IM2025

DAmodel: Hierarchical Bayesian Modelling of DA White Dwarfs for Spectrophotometric Calibration

Benjamin M. Boyd, Gautham Narayan, Kaisey S. Mandel +17

astro-ph.CO2024

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

astro-ph.CO2024

Accounting for Selection Effects in Supernova Cosmology with Simulation-Based Inference and Hierarchical Bayesian Modelling

Benjamin M. Boyd, Matthew Grayling, Stephen Thorp +1

astro-ph.IM2024

Variational Inference for Acceleration of SN Ia Photometric Distance Estimation with BayeSN

Ana Sofía M. Uzsoy, Stephen Thorp, Matthew Grayling +1

astro-ph.HE2026

Lightcurve Modelling of 2,205 ZTF DR2 Type~Ia Supernovae: Implications for SN Ia Physics and Cosmology

Nikhil Sarin, Ellen Lindsjö, Lisa Kelsey +11

astro-ph.GA2025

BayeSN and SALT: A Comparison of Dust Inference Across SN Ia Light-curve Models with DES5YR

Matthew Grayling, Brodie Popovic

astro-ph.SR2023

SN2023ixf in Messier 101: the twilight years of the progenitor as seen by Pan-STARRS

Conor L. Ransome, V. Ashley Villar, Anna Tartaglia +28

astro-ph.CO2026

Testing Lens Models of PLCK G165.7+67.0 Using Lensed SN H0pe

Aadya Agrawal, J. D. R. Pierel, Gautham Narayan +9

astro-ph.CO2026

Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling

Erin E. Hayes, Suhail Dhawan, Kaisey S. Mandel +21

astro-ph.CO2024

GausSN: Bayesian Time-Delay Estimation for Strongly Lensed Supernovae

Erin E. Hayes, Stephen Thorp, Kaisey S. Mandel +3

astro-ph.GA2023

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

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

astro-ph.IM2024

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100TB of Astronomical Scientific Data

The Multimodal Universe Collaboration, Jeroen Audenaert, Micah Bowles +26

astro-ph.CO2026

A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification

Ayan Mitra, Richard Kessler, Rebecca C. Chen +9

astro-ph.CO2024

SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data

Konstantin Karchev, Matthew Grayling, Benjamin M. Boyd +3

astro-ph.HE2025

Large Cold Dust Reservoir Revealed in Transitional SN Ib 2014C by James Webb Space Telescope Mid-Infrared Spectroscopy

Samaporn Tinyanont, Ori D. Fox, Melissa Shahbandeh +32