Analyzing the Largest Spectroscopic Dataset of Stripped Supernovae to Improve Their Identifications and Constrain Their Progenitors
Yu-Qian Liu, Maryam Modjaz, Federica B. Bianco, Or Graur

TL;DR
This study analyzes the largest spectroscopic dataset of stripped-envelope supernovae to improve classification, differentiate subtypes using spectral features, and constrain their progenitor models, especially regarding the presence of helium.
Contribution
It provides a comprehensive spectral analysis of 14 SNe IIb, 21 SNe Ib, and 17 SNe Ic, enhancing classification schemes and supporting helium-free progenitor models for SNe Ic.
Findings
Hα strength differentiates SNe IIb from Ib at all epochs
Spectral properties show a continuum between SNe IIb and Ib
Results support helium-free progenitor models for SNe Ic
Abstract
Using the largest spectroscopic dataset of stripped-envelope core-collapse supernovae (stripped SNe), we present a systematic investigation of spectral properties of Type IIb SNe (SNe IIb), Type Ib SNe (SNe Ib), and Type Ic SNe (SNe Ic). Prior studies have been based on individual objects or small samples. Here, we analyze 227 spectra of 14 SNe IIb, 258 spectra of 21 SNe Ib, and 207 spectra of 17 SNe Ic based on the stripped SN dataset of Modjaz et al. (2014) and other published spectra of individual SNe. Each SN in our sample has a secure spectroscopic ID, a date of -band maximum light, and multiple spectra at different phases. We analyze these spectra as a function of subtype and phase in order to improve the SN identification scheme and constrain the progenitors of different kinds of stripped SNe. By comparing spectra of SNe IIb with those of SNe Ib, we find that the strength of…
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