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Berkeley Supernova Ia Program: Data Release of 637 Spectra from 247 Type Ia Supernovae | | Benjamin E. Stahl
; WeiKang Zheng
; Thomas de Jaeger
; Thomas G. Brink
; Alexei V. Filippenko
; Jeffrey M. Silverman
; S. Bradley Cenko
; Kelsey I. Clubb
; Melissa L. Graham
; Goni Halevi
; Patrick L. Kelly
; Io Kleiser
; Isaac Shivvers
; Heechan Yuk
; Bethany E. Cobb
; Ori D. Fox
; Michael T. Kandrashoff
; Jason J. Kong
; Jon C. Mauerhan
; Xianggao Wang
; Xiaofeng Wang
; | | Date: |
9 Jan 2020 | | Abstract: | We present 637 low-redshift optical spectra collected by the Berkeley
Supernova Ia Program (BSNIP) between 2009 and 2018, almost entirely with the
Kast double spectrograph on the Shane 3~m telescope at Lick Observatory. We
describe our automated spectral classification scheme and arrive at a final set
of 626 spectra (of 242 objects) that are unambiguously classified as belonging
to Type Ia supernovae (SNe~Ia). Of these, 70 spectra of 30 objects are
classified as spectroscopically peculiar (i.e., not matching the spectral
signatures of "normal" SNe~Ia) and 79 SNe~Ia (covered by 328 spectra) have
complementary photometric coverage. The median SN in our final set has one
epoch of spectroscopy, has a redshift of 0.0208 (with a low of 0.0007 and high
of 0.1921), and is first observed spectroscopically 1.1 days after maximum
light. The constituent spectra are of high quality, with a median
signal-to-noise ratio of 31.8 pixel$^{-1}$, and have broad wavelength coverage,
with $sim 95\%$ covering at least 3700--9800~AA. We analyze our dataset,
focusing on quantitative measurements (e.g., velocities, pseudo-equivalent
widths) of the evolution of prominent spectral features in the available
early-time and late-time spectra. The data are available to the community, and
we encourage future studies to incorporate our spectra in their analyses. | | Source: | arXiv, 2001.3235 | | Services: | Forum | Review | PDF | Favorites | |
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