Berkeley Supernova Ia Program I: Observations, Data Reduction, and Spectroscopic Sample of 582 Low-Redshift Type Ia Supernovae
Jeffrey M. Silverman, Ryan J. Foley, Alexei V. Filippenko, Mohan, Ganeshalingam, Aaron J. Barth, Ryan Chornock, Christopher V. Griffith, Jason, J. Kong, Nicholas Lee, Douglas C. Leonard, Thomas Matheson, Emily G. Miller,, Thea N. Steele, Brian J. Barris, Joshua S. Bloom

TL;DR
This paper presents a comprehensive collection of 1298 optical spectra of 582 low-redshift Type Ia supernovae, along with data reduction methods, classification schemes, and a public database to facilitate supernova research.
Contribution
It introduces a large, well-calibrated spectral dataset of low-redshift SNe Ia, new classification templates, and an online searchable database, enhancing supernova spectral analysis capabilities.
Findings
Spectra cover a wide wavelength range of 3300-10400 Angstroms.
Nearly 90 spectra of peculiar SNe Ia are included.
The dataset enables accurate classification and reclassification of supernovae.
Abstract
In this first paper in a series we present 1298 low-redshift (z\leq0.2) optical spectra of 582 Type Ia supernovae (SNe Ia) observed from 1989 through 2008 as part of the Berkeley SN Ia Program (BSNIP). 584 spectra of 199 SNe Ia have well-calibrated light curves with measured distance moduli, and many of the spectra have been corrected for host-galaxy contamination. Most of the data were obtained using the Kast double spectrograph mounted on the Shane 3 m telescope at Lick Observatory and have a typical wavelength range of 3300-10,400 Ang., roughly twice as wide as spectra from most previously published datasets. We present our observing and reduction procedures, and we describe the resulting SN Database (SNDB), which will be an online, public, searchable database containing all of our fully reduced spectra and companion photometry. In addition, we discuss our spectral classification…
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