Revealing the Diversity of Type IIn Supernova Progenitors through Their Environments

Abstract Type IIn supernovae (SNe IIn) are hydrogen-rich explosions embedded in dense circumstellar medium, which gives rise to their characteristic narrow hydrogen emission lines. The nature of their progenitors and pre-explosion mass loss remains, however, poorly understood. This study analyzes the local stellar environments of a volume-limited sample ( z < 0.02) of 31 SNe IIn using high-resolution Hubble Space Telescope imaging. The environments are found to be highly diverse and are classified into three categories: inside star-forming regions (Class 1), outside but near star-forming regions (Class 2), and regions with no obvious star formation (Class 3). Bright SNe IIn ( M peak < −19.5 mag) predominantly occur in Class 1 environments, supporting the origin of very massive progenitors, while the faint SNe IIn ( M peak < −15.5 mag) are associated with the Class 2 and 3 environments, consistent with the less massive progenitors. SNe IIn with intermediate peak magnitudes (−19.5 mag < M peak < −15.5 mag) appear in all three types of environments. Furthermore, directly detected SN IIn progenitors are systematically brighter and/or bluer than the youngest stellar populations in their environments, implying a nonquiescent pre-explosion state or past binary interactions. These results point to multiple progenitor channels of SNe IIn, spanning a wide range of masses, evolutionary stages, and potential binary interaction histories.

Authors

Institutions

Publication Details

Journal
The Astrophysical Journal
Published
2026-04-03
DOI
https://doi.org/10.3847/1538-4357/ae4bd6
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

Revealing the Diversity of Type IIn Supernova Progenitors through Their Environments

C. L. Ransome, Emmanouil Zapartas, Cesar Rojas-Bravo, Zexi Niu et al.
The Astrophysical Journal
Gamma-ray bursts and supernovae
article

Revealing the Diversity of Type IIn Supernova Progenitors through Their Environments

C. L. Ransome, Emmanouil Zapartas, Cesar Rojas-Bravo, Zexi Niu, Ning-Chen Sun, Jifeng Liu, Justyn R. Maund
article en

Abstract

Abstract Type IIn supernovae (SNe IIn) are hydrogen-rich explosions embedded in dense circumstellar medium, which gives rise to their characteristic narrow hydrogen emission lines. The nature of their progenitors and pre-explosion mass loss remains, however, poorly understood. This study analyzes the local stellar environments of a volume-limited sample ( z < 0.02) of 31 SNe IIn using high-resolution Hubble Space Telescope imaging. The environments are found to be highly diverse and are classified into three categories: inside star-forming regions (Class 1), outside but near star-forming regions (Class 2), and regions with no obvious star formation (Class 3). Bright SNe IIn ( M peak < −19.5 mag) predominantly occur in Class 1 environments, supporting the origin of very massive progenitors, while the faint SNe IIn ( M peak < −15.5 mag) are associated with the Class 2 and 3 environments, consistent with the less massive progenitors. SNe IIn with intermediate peak magnitudes (−19.5 mag < M peak < −15.5 mag) appear in all three types of environments. Furthermore, directly detected SN IIn progenitors are systematically brighter and/or bluer than the youngest stellar populations in their environments, implying a nonquiescent pre-explosion state or past binary interactions. These results point to multiple progenitor channels of SNe IIn, spanning a wide range of masses, evolutionary stages, and potential binary interaction histories.

The Astrophysical JournalVol. 1001(1)
University of Arizona (US), Royal Holloway University of London (GB), Chinese Academy of Sciences (CN), National and Kapodistrian University of Athens (GR), Beijing Normal University (CN), National Space Science Center (CN), National Astronomical Observatories (CN), University of Chinese Academy of Sciences (CN), Foundation for Research and Technology Hellas (GR)
Openalex Percentile: Top 28%
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.