Radiative Transfer Modeling of Stripped-envelope Supernovae. I. A Grid for Ejecta Parameter Inference

Abstract We present 1800 multiwavelength Type Ib/c supernovae light-curve models obtained by running the radiation transport code Sedona and varying the mass distribution, velocity profile, and abundance ejecta profiles of helium star progenitors. To create a flexible but physically informed grid, we use autoencoders to construct a representation of ejecta profiles derived from stellar evolution models. We present simulated nearest-neighbor multiband light-curve matches to SN 1994I, SN 2007gr, and iPTF13bvn to demonstrate that realistic light curves can be generated in our grid. We show that the ejecta velocity distribution, in particular, strongly influences the light curve, while variation in 56 Ni mixing alone has a limited impact on the bolometric light curve, even in extreme and unphysical mixing schemes; however, mixing can modestly impact color evolution. Finally, we show that the 56 Ni mass, ejecta mass, and both the magnitude and structure of ejecta velocity distribution can be inferred from the multiband light curves, enabling improved inference over widely used semianalytical models.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2026-03-03
DOI
https://doi.org/10.3847/1538-4357/ae32f8
Primary Topic
Gamma-ray bursts and supernovae
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Radiative Transfer Modeling of Stripped-envelope Supernovae. I. A Grid for Ejecta Parameter Inference

Abigail Polin, Maria R. Drout, Miranda Pikus, S. Karthik Yadavalli et al.
The Astrophysical Journal
Gamma-ray bursts and supernovae
article

Radiative Transfer Modeling of Stripped-envelope Supernovae. I. A Grid for Ejecta Parameter Inference

Abigail Polin, Maria R. Drout, Miranda Pikus, S. Karthik Yadavalli, V. Ashley Villar, S. E. Woosley
article en

Abstract

Abstract We present 1800 multiwavelength Type Ib/c supernovae light-curve models obtained by running the radiation transport code Sedona and varying the mass distribution, velocity profile, and abundance ejecta profiles of helium star progenitors. To create a flexible but physically informed grid, we use autoencoders to construct a representation of ejecta profiles derived from stellar evolution models. We present simulated nearest-neighbor multiband light-curve matches to SN 1994I, SN 2007gr, and iPTF13bvn to demonstrate that realistic light curves can be generated in our grid. We show that the ejecta velocity distribution, in particular, strongly influences the light curve, while variation in 56 Ni mixing alone has a limited impact on the bolometric light curve, even in extreme and unphysical mixing schemes; however, mixing can modestly impact color evolution. Finally, we show that the 56 Ni mass, ejecta mass, and both the magnitude and structure of ejecta velocity distribution can be inferred from the multiband light curves, enabling improved inference over widely used semianalytical models.

The Astrophysical JournalVol. 999(2)
University of California, Santa Cruz (US), University of Toronto (CA), Purdue University West Lafayette (US), Center for Astrophysics Harvard & Smithsonian (US), The NSF AI Institute for Artificial Intelligence and Fundamental Interactions (US)
Openalex Percentile: Top 37%
Gamma-ray bursts and supernovae
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.