SiFTO: An empirical method for fitting SN Ia light curves

We present SiFTO, a new empirical method for modeling Type Ia supernova (SN Ia) light curves by manipulating a spectral template. We make use of high-redshift SN data when training the model, allowing us to extend it bluer than rest-frame U. This increases the utility of our high-redshift SN observa...

Full description

Bibliographic Details
Main Authors: Conley, A, Sullivan, M, Hsiao, E, Guy, J, Astier, P, Balam, D, Balland, C, Basa, S, Carlberg, R, Fouchez, D, Hardin, D, Howell, D, Hook, I, Pain, R, Perrett, K, Pritchet, C, Regnault, N
Format: Journal article
Language:English
Published: Institute of Physics Publishing 2008
_version_ 1826285179481620480
author Conley, A
Sullivan, M
Hsiao, E
Guy, J
Astier, P
Balam, D
Balland, C
Basa, S
Carlberg, R
Fouchez, D
Hardin, D
Howell, D
Hook, I
Pain, R
Perrett, K
Pritchet, C
Regnault, N
author_facet Conley, A
Sullivan, M
Hsiao, E
Guy, J
Astier, P
Balam, D
Balland, C
Basa, S
Carlberg, R
Fouchez, D
Hardin, D
Howell, D
Hook, I
Pain, R
Perrett, K
Pritchet, C
Regnault, N
author_sort Conley, A
collection OXFORD
description We present SiFTO, a new empirical method for modeling Type Ia supernova (SN Ia) light curves by manipulating a spectral template. We make use of high-redshift SN data when training the model, allowing us to extend it bluer than rest-frame U. This increases the utility of our high-redshift SN observations by allowing us to use more of the available data. We find that when the shape of the light curve is described using a stretch prescription, applying the same stretch at all wavelengths is not an adequate description. SiFTO therefore uses a generalization of stretch which applies different stretch factors as a function of both the wavelength of the observed filter and the stretch in the rest-frame B band. We compare SiFTO to other published light-curve models by applying them to the same set of SN photometry, and demonstrate that SiFTO and SALT2 perform better than the alternatives when judged by the scatter around the best-fit luminosity distance relationship. We further demonstrate that when SiFTO and SALT2 are trained on the same data set the cosmological results agree. © 2008. The American Astronomical Society. All rights reserved.
first_indexed 2024-03-07T01:24:59Z
format Journal article
id oxford-uuid:91a85c01-7338-4050-87f3-c5b028c965e8
institution University of Oxford
language English
last_indexed 2024-03-07T01:24:59Z
publishDate 2008
publisher Institute of Physics Publishing
record_format dspace
spelling oxford-uuid:91a85c01-7338-4050-87f3-c5b028c965e82022-03-26T23:20:11ZSiFTO: An empirical method for fitting SN Ia light curvesJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:91a85c01-7338-4050-87f3-c5b028c965e8EnglishSymplectic Elements at OxfordInstitute of Physics Publishing2008Conley, ASullivan, MHsiao, EGuy, JAstier, PBalam, DBalland, CBasa, SCarlberg, RFouchez, DHardin, DHowell, DHook, IPain, RPerrett, KPritchet, CRegnault, NWe present SiFTO, a new empirical method for modeling Type Ia supernova (SN Ia) light curves by manipulating a spectral template. We make use of high-redshift SN data when training the model, allowing us to extend it bluer than rest-frame U. This increases the utility of our high-redshift SN observations by allowing us to use more of the available data. We find that when the shape of the light curve is described using a stretch prescription, applying the same stretch at all wavelengths is not an adequate description. SiFTO therefore uses a generalization of stretch which applies different stretch factors as a function of both the wavelength of the observed filter and the stretch in the rest-frame B band. We compare SiFTO to other published light-curve models by applying them to the same set of SN photometry, and demonstrate that SiFTO and SALT2 perform better than the alternatives when judged by the scatter around the best-fit luminosity distance relationship. We further demonstrate that when SiFTO and SALT2 are trained on the same data set the cosmological results agree. © 2008. The American Astronomical Society. All rights reserved.
spellingShingle Conley, A
Sullivan, M
Hsiao, E
Guy, J
Astier, P
Balam, D
Balland, C
Basa, S
Carlberg, R
Fouchez, D
Hardin, D
Howell, D
Hook, I
Pain, R
Perrett, K
Pritchet, C
Regnault, N
SiFTO: An empirical method for fitting SN Ia light curves
title SiFTO: An empirical method for fitting SN Ia light curves
title_full SiFTO: An empirical method for fitting SN Ia light curves
title_fullStr SiFTO: An empirical method for fitting SN Ia light curves
title_full_unstemmed SiFTO: An empirical method for fitting SN Ia light curves
title_short SiFTO: An empirical method for fitting SN Ia light curves
title_sort sifto an empirical method for fitting sn ia light curves
work_keys_str_mv AT conleya siftoanempiricalmethodforfittingsnialightcurves
AT sullivanm siftoanempiricalmethodforfittingsnialightcurves
AT hsiaoe siftoanempiricalmethodforfittingsnialightcurves
AT guyj siftoanempiricalmethodforfittingsnialightcurves
AT astierp siftoanempiricalmethodforfittingsnialightcurves
AT balamd siftoanempiricalmethodforfittingsnialightcurves
AT ballandc siftoanempiricalmethodforfittingsnialightcurves
AT basas siftoanempiricalmethodforfittingsnialightcurves
AT carlbergr siftoanempiricalmethodforfittingsnialightcurves
AT fouchezd siftoanempiricalmethodforfittingsnialightcurves
AT hardind siftoanempiricalmethodforfittingsnialightcurves
AT howelld siftoanempiricalmethodforfittingsnialightcurves
AT hooki siftoanempiricalmethodforfittingsnialightcurves
AT painr siftoanempiricalmethodforfittingsnialightcurves
AT perrettk siftoanempiricalmethodforfittingsnialightcurves
AT pritchetc siftoanempiricalmethodforfittingsnialightcurves
AT regnaultn siftoanempiricalmethodforfittingsnialightcurves