English

SALT: a Spectral Adaptive Light curve Template for Type Ia Supernovae

Astrophysics 2010-01-18 v2

Abstract

We present a new method to parameterize Type Ia Supernovae (SN Ia) multi-color light curves. The method was developed in order to analyze the large number of SN Ia multi-color light curves measured in current high-redshift projects. The technique is based on empirically modeling SN Ia luminosity variations as a function of phase, wavelength, a shape parameter, and a color parameter. The model is trained with a sample of well measured nearby SN Ia and then tested with an independent set of supernovae by building an optimal luminosity distance estimator combining the supernova rest-frame luminosity, shape parameter and color reconstructed with the model. The distances we measure using B- and V-band data show a dispersion around the Hubble line comparable or lower than obtained with other methods. With this model, we are able to measure distances using U- and B-band data with a dispersion around the Hubble line of 0.16 +- 0.05.

Keywords

Cite

@article{arxiv.astro-ph/0506583,
  title  = {SALT: a Spectral Adaptive Light curve Template for Type Ia Supernovae},
  author = {J. Guy and P. Astier and S. Nobili and N. Regnault and R. Pain},
  journal= {arXiv preprint arXiv:astro-ph/0506583},
  year   = {2010}
}

Comments

Accepted in A&A, June 23, 2005 (printer friendly replacement version, includes language corrections)