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This content will become publicly available on June 23, 2026

Title: Unveiling the Diversity of Type IIn Supernovae via Systematic Light-curve Modeling
Abstract Type IIn supernovae (SNe IIn) are a highly heterogeneous subclass of core-collapse supernovae, spectroscopically characterized by signatures of interaction with a dense circumstellar medium (CSM). Here, we systematically model the light curves of 142 archival SNe IIn using the Modular Open Source Fitter for Transients. We find that the observed and inferred properties of SN IIn are diverse, but there are some trends. The typical supernova CSM is dense (∼10−12g cm−3) with highly diverse CSM geometry, with a median CSM mass of ∼1M. The ejecta are typically massive (≳10M), suggesting massive progenitor systems. We find positive correlations between the CSM mass and the rise and fall times of SNe IIn. Furthermore, there are positive correlations between the rise time and fall times and ther-band luminosity. We estimate the mass-loss rates of our sample (where spectroscopy is available) and find a high median mass-loss rate of ∼10−2Myr−1, with a range between 10−3and 1Myr−1. These mass-loss rates are most similar to the mass loss from great eruptions of luminous blue variables, consistent with the direct progenitor detections in the literature. We also discuss the role that binary interactions may play, concluding that at least some of our SNe IIn may be from massive binary systems. Finally, we estimate a detection rate of 1.6 × 105yr−1in the upcoming Legacy Survey of Space and Time at the Vera C. Rubin Observatory.  more » « less
Award ID(s):
2019786 2433718
PAR ID:
10648138
Author(s) / Creator(s):
;
Publisher / Repository:
AAS
Date Published:
Journal Name:
The Astrophysical Journal
Volume:
987
Issue:
1
ISSN:
0004-637X
Page Range / eLocation ID:
13
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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