2007
DOI: 10.1086/520494
|View full text |Cite
|
Sign up to set email alerts
|

Determining the Type, Redshift, and Age of a Supernova Spectrum

Abstract: We present an algorithm to identify the type of an SN spectrum and to determine its redshift and age. This algorithm, based on the correlation techniques of Tonry & Davis, is implemented in the Supernova Identification (SNID) code. It is used by members of ongoing high-redshift SN searches to distinguish between type Ia and type Ib/c SNe, and to identify "peculiar" SNe Ia. We develop a diagnostic to quantify the quality of a correlation between the input and template spectra, which enables a formal evaluation … Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

22
516
0
5

Year Published

2014
2014
2022
2022

Publication Types

Select...
6
4

Relationship

0
10

Authors

Journals

citations
Cited by 453 publications
(549 citation statements)
references
References 116 publications
22
516
0
5
Order By: Relevance
“…We find that, regardless of subtype or which of the two wavelength ranges is used, SNID capably classifies events in the presence of strong reddening (E(B − V ) ∼ 2.0 mag and R V = 3.1), so long as the spectra exhibit a S/N 1-3. This is to be expected, as SNID divides input spectra by a pseudo-continuum fit and discards the spectral color information before performing crosscorrelation (Blondin & Tonry 2007). In contrast, classifications performed via visual comparison may be prone to error when strong reddening is present.…”
Section: Classification Methodsmentioning
confidence: 99%
“…We find that, regardless of subtype or which of the two wavelength ranges is used, SNID capably classifies events in the presence of strong reddening (E(B − V ) ∼ 2.0 mag and R V = 3.1), so long as the spectra exhibit a S/N 1-3. This is to be expected, as SNID divides input spectra by a pseudo-continuum fit and discards the spectral color information before performing crosscorrelation (Blondin & Tonry 2007). In contrast, classifications performed via visual comparison may be prone to error when strong reddening is present.…”
Section: Classification Methodsmentioning
confidence: 99%
“…Using the Supernova Identification tool, SNID (Blondin & Tonry 2007), and pseudo equivalent measurements of several spectral features, Liu et al 2015 classify SN2007kj as a SNIb. Modjaz et al (2014) previously used SNID to classify SN 2007kj as a SNIb as well.…”
Section: "Sn Ib" 2007kjmentioning
confidence: 99%
“…For this object we have observations with both the WFC3 G102 and G141 grisms. Fitting the composite spectrum with the SuperNova IDentification (SNID) software (Blondin & Tonry 2007), we find the best template match is a Type Ia SN at z = 1.59. Once again we find that the STARDUST photometric classification agrees well with this spectroscopic information: an SN Ia light curve at z ∼ 1.6 provides the best available light curve template.…”
Section: Grism Spectroscopymentioning
confidence: 99%