collaborators

21 papers

astro-ph.HE2026

JWST Spectroscopy of Type Ia Supernova 2025rbs from Maximum Light to the Nebular Phase

Lindsey A. Kwok, Stéphane Blondin, Adam A. Miller +53

We present JWST observations of the Type Ia supernova (SN Ia) 2025rbs (14.5 Mpc) at +1, +23, and +84 days after B-band maximum, spanning peak light through a wavelength-depende…

astro-ph.CO2026

ZTF SN Ia DR2 follow-up: early excess in Type Ia supernova light curves

Tomás E. Müller-Bravo, Tomás E. Müller-Bravo, Kate Maguire +17

There is broad consensus that Type Ia supernovae (SNe Ia) are the thermonuclear explosions of C/O white dwarfs (WDs) in binary systems, but their progenitors and explosion mechanis…

astro-ph.HE2026

Multiwavelength Analysis of Six Luminous Fast Blue Optical Transients

Cassie Sevilla, Anna Y. Q. Ho, Nayana A. J. +43

We present multiwavelength observations and analysis of six luminous fast blue optical transients (LFBOTs) discovered in Zwicky Transient Facility (ZTF) survey data. We identified…

astro-ph.HE2026

JWST Observations of Calcium-Strong Transients: I. Complex Nebular He Emission in SN 2024uj

Saarah Hall, Lindsey A. Kwok, Aravind P. Ravi +29

We present the first JWST observations of a Calcium-Strong Transient (CaST), SN 2024uj, a rare class of supernovae (SNe) with observable properties that are consistent with both th…

astro-ph.HE2026

Decoding the Early-Time Light Curves of Type Ia Supernovae. II. Population Parameters of One Thousand ZTF Supernovae

Chang Liu, Adam A. Miller, Nikhil Sarin +13

Early-time light curves of Type Ia Supernovae (SNe Ia) encode critical information about their progenitor systems. We characterize the rise of normal SNe Ia using a volume-complete…

astro-ph.HE2026

Decoding the Early-Time Light Curves of Type Ia Supernovae. I. A Hierarchical Bayesian Framework for Demographic Inference

Chang Liu, Adam A. Miller

Light curves of Type Ia Supernovae (SNe Ia) in the days following explosion encode the diversity of progenitor systems and explosion physics. We present a hierarchical Bayesian fra…