SALT2: Using Distant Supernovae to Improve the Use of Type Ia Supernovae as Distance Indicators

Astronomy and Astrophysics – Astronomy

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Scientific paper

We present an empirical model of the Type Ia supernovae spectro-photometric evolution with time built using a large data set including light-curves and spectra of both nearby and distant supernovae, the latter being observed by the SNLS collaboration.
We derive the average spectral sequence of Type Ia supernovae and their principal variability components including a color variation law.
The model allows us to measure distance moduli in the spectral range 200-920 nm with calculable uncertainties, including those arising from variations in the spectral features.
Thanks to the use of high-redshift SNe to model the rest-frame UV spectral energy distribution, the model leads to improved distance estimates for SNe Ia at redshifts larger than 0.8. The model can also be used to improve spectroscopic identification and possibly perform photometric identification and derive photometric redshifts of distant supernovae.

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