The Berkeley sample of stripped-envelope supernovae

Isaac Shivvers*, Alexei V. Filippenko, Jeffrey M. Silverman, Wei Kang Zheng, Ryan J. Foley, Ryan Chornock, Aaron J. Barth, S. Bradley Cenko, Kelsey I. Clubb, Ori D. Fox, Mohan Ganeshalingam, Melissa L. Graham, Patrick L. Kelly, Io K.W. Kleiser, Douglas C. Leonard, Weidong Li, Thomas Matheson, Jon C. Mauerhan, Maryam Modjaz, Franklin J.D. SerdukeJoseph C. Shields, Thea N. Steele, Brandon J. Swift, Diane S. Wong, Heechan Yuk

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

57 Scopus citations


We present the complete sample of stripped-envelope supernova (SN) spectra observed by the Lick Observatory Supernova Search (LOSS) collaboration over the last three decades: 888 spectra of 302 SNe, 652 published here for the first time, with 384 spectra (of 92 SNe) having photometrically determined phases. After correcting for redshift and Milky Way dust reddening and reevaluating the spectroscopic classifications for each SN, we construct mean spectra of the three major spectral subtypes (Types IIb, Ib, and Ic) binned by phase.We compare measures of line strengths and widths made from this sample to the results of previous efforts, confirming that OI λ7774 absorption is stronger and found at higher velocity in Type Ic SNe than in Types Ib or IIb SNe in the first ~30 days after peak brightness, though the widths of nebular emission lines are consistent across subtypes. We also highlight newly available observations for a few rare subpopulations of interest.

Original languageEnglish (US)
Pages (from-to)1545-1556
Number of pages12
JournalMonthly Notices of the Royal Astronomical Society
Issue number2
StatePublished - Jan 11 2019


  • Astronomical data bases: miscellaneous
  • Stars: massive
  • Supernovae: general
  • Techniques: spectroscopic

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


Dive into the research topics of 'The Berkeley sample of stripped-envelope supernovae'. Together they form a unique fingerprint.

Cite this