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Berkeley Supernova Ia Program I: Observations, Data Reduction, and Spectroscopic Sample of 582 Low-Redshift Type Ia Supernovae

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Jeffrey M. Silverman, Ryan J. Foley, Alexei V. Filippenko, Mohan Ganeshalingam, Aaron J. Barth, Ryan Chornock, Christopher V. Griffith, Jason J. Kong
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Nicholas Lee, Douglas C. Leonard, Thomas Matheson, Emily G. Miller, Thea N. Steele, Brian J. Barris, Joshua S. Bloom, Bethany E. Cobb, Alison L. Coil, Louis-Benoit Desroches, Elinor L. Gates, Luis C. Ho, Saurabh W. Jha, Michael T. Kandrashoff, Weidong Li, Kaisey S. Mandel, Maryam Modjaz, Matthew R. Moore, Robin E. Mostardi, Marina S. Papenkova, Sung Park, Daniel A. Perley, Dovi Poznanski, Cassie A. Reuter, James Scala, Franklin J. D. Serduke, Joseph C. Shields, Brandon J. Swift, John L. Tonry, Schuyler D. Van Dyk, Xiaofeng Wang, Diane S. Wong

Cosmology and Nongalactic Astrophysics · Submitted 9 Feb 2012

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim These templates allow us to accurately classify our entire dataset, and by doing so we are able to reclassify a handful of objects as bona fide SNe Ia and a few other objects as members of some of the peculiar SN Ia subtypes.

how it is stated · asserted 1.00 read the record →

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arXiv ID1202.2128 (version 3)
Pith IDBURN54XZ, Pith's permanent record of this paper and its review
CitationAaron J. Barth, Alexei V. Filippenko, Alison L. Coil, Bethany E. Cobb, Brandon J. Swift, Brian J. Barris, Cassie A. Reuter, Christopher V. Griffith, Daniel A. Perley, Diane S. Wong, Douglas C. Leonard, Dovi Poznanski, Elinor L. Gates, Emily G. Miller, Franklin J. D. Serduke, James Scala, Jason J. Kong, Jeffrey M. Silverman, John L. Tonry, Joseph C. Shields, Joshua S. Bloom, Kaisey S. Mandel, Louis-Benoit Desroches, Luis C. Ho, Marina S. Papenkova, Maryam Modjaz, Matthew R. Moore, Michael T. Kandrashoff, Mohan Ganeshalingam, Nicholas Lee, Robin E. Mostardi, Ryan Chornock, Ryan J. Foley, Saurabh W. Jha, Schuyler D. Van Dyk, Sung Park, Thea N. Steele, Thomas Matheson, Weidong Li, Xiaofeng Wang. "Berkeley Supernova Ia Program I: Observations, Data Reduction, and Spectroscopic Sample of 582 Low-Redshift Type Ia Supernovae." arXiv:1202.2128 (2012). https://pith.science/paper/BURN54XZ
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

Open the compiled record

Compiled by classifier-1.13-20260917 via OpenRouter, question bank abstract-p1-20260923, 2026-09-23: 1 request, 6,036 input tokens, $0.0003 reported.

What the abstract itself states, as probabilities: claims first 0.21 · states limitation 0.20 · human participants 0.02 · controlled comparison 0.04 · randomized assignment 0.01 · states quantitative result 0.98 · compares with prior results 0.81 · mentions code or data availability 0.84.

The abstract, sentence by sentence

arXiv listing abstract v3. Results and the main claim are underlined; .

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 scheme (using the SuperNova IDentification code, SNID; Blondin & Tonry 2007), utilising our newly constructed set of SNID spectral templates. These templates allow us to accurately classify our entire dataset, and by doing so we are able to reclassify a handful of objects as bona fide SNe Ia and a few other objects as members of some of the peculiar SN Ia subtypes. In fact, our dataset includes spectra of nearly 90 spectroscopically peculiar SNe Ia. We also present spectroscopic host-galaxy redshifts of some SNe Ia where these values were previously unknown. [Abridged]

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 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. contribution 0.95 0.96 0.22 asserted 1.00
s1 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. method 1.00 0.90 0.03 asserted 1.00
s2 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. contribution 0.80 0.94 0.07 asserted 1.00
s3 In addition, we discuss our spectral classification scheme (using the SuperNova IDentification code, SNID; Blondin & Tonry 2007), utilising our newly constructed set of SNID spectral templates. method 0.86 0.75 0.05 asserted 0.95
s4 These templates allow us to accurately classify our entire dataset, and by doing so we are able to reclassify a handful of objects as bona fide SNe Ia and a few other objects as members of some of the peculiar SN Ia subtypes. result 0.88 0.96 0.17 asserted 1.00
s5 In fact, our dataset includes spectra of nearly 90 spectroscopically peculiar SNe Ia. result 0.93 0.91 0.09 asserted 1.00
s6 We also present spectroscopic host-galaxy redshifts of some SNe Ia where these values were previously unknown. [Abridged] result 0.66 0.94 0.07 asserted 1.00

What kind of paper the classifier reports this is: dataset or benchmark 0.99 · evidence from observation or experiment 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v3
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original 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 scheme (using the SuperNova IDentification code, SNID; Blondin & Tonry 2007), utilising our newly constructed set of SNID spectral templates. These templates allow us to accurately classify our entire dataset, and by doing so we are able to reclassify a handful of objects as bona fide SNe Ia and a few other objects as members of some of the peculiar SN Ia subtypes. In fact, our dataset includes spectra of nearly 90 spectroscopically peculiar SNe Ia. We also present spectroscopic host-galaxy redshifts of some SNe Ia where these values were previously unknown. [Abridged]

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References
How later papers used it

112 later papers cite it

Evidence: substantial. 41 of the citing papers share no author with it, and 24 of those carry a confident label from Pith's citation classifier.

Pith read 21 of the 167 citing sentences, choosing only those whose citation markers point at this paper alone, and wrote the paraphrases from them. The summary, the counts, the evidence level, the links and the quotes come from code; the summary counts the papers listed below. A later paper is listed under a label when Pith's citation classifier gives one of its sentences that label at probability 0.8 or more (0.95 for support), Pith's reading finds that the citing paper itself did it, and a second check confirms the paraphrase against the sentence. This section lists uses only. It does not list criticism or disagreement, so their absence here says nothing about how the paper has been received. Papers that share an author with this one are listed apart, under "By the same authors". A quote is the citing authors' own sentence, shown when their paper's licence is CC BY, CC BY-SA or CC0. JSON

Uses its method or tool 2 of 42 papers with this label · 2 by the same authors

By the same authors

  • Undertook a multistep process for each spectrum similar to that described by this paper.

    The Berkeley Sample of Stripped-Envelope Supernovae (2018) (same authors) · 1.00 · paraphrased: the licence does not allow quoting

  • Data reduction followed standard techniques for CCD processing and spectrum extraction [ref] utilizing IRAF[IRAF is written and supported by the National Optical Astronomy Observatories, operated by the Association of Universities for Research in Astronomy, Inc. under cooperative agreement with the National Science Foundation.] [ref] routines and custom Python and IDL codes.[<https://github.com/ishivvers/TheKastShiv>] The most recent LRIS spectra (from 2017 and later) were processed using the LPipe data-reduction pipeline [ref] .

    JWST Discovery of Dust Reservoirs in Nearby Type IIP Supernovae 2004et and 2017eaw (2023) (same authors) · Optical Spectroscopy · 1.00

Uses its data or values 7 of 25 papers with this label · 4 by the same authors

By the same authors

How the literature uses it

8 arXiv papers cite this in 17 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 10 sentences without a confident label

Uses its method or tool 2 papers
Uses its data or values 2 papers
Compares with it 1 paper

What it cites

Uses the method or tool of 1 paper
  • Since our typical procedure is not adaptable to tilted sky lines (our background subtraction would produce dipoles for every sky line), we implement a modified version of the DEEP2 DEIMOS pipeline [ref] [<http://astro.berkeley.edu/ cooper/deep/spec2d/>.] to rectify and background-subtract our spectra.

    The DEEP2 Galaxy Redshift Survey: Design, Observations, Data Reduction, and Redshifts · DEIMOS on the Keck 10 m · 1.00

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