MG13 - Talk detail

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Abstract

I present a novel class of models for Type Ia supernova time-evolving spectral energy distributions and absolute magnitudes: they are modeled as stochastic functions described by Gaussian processes. In the implementation of an example model using synthetic photometry built from the spectrophotometric time series from the Nearby Supernova Factory, absolute magnitudes at peak B brightness are calibrated to as low as 0.11 mag including measurement errors. The methodology can be applied to spectrophotometric time series of supernovae that span a range of redshift to simultaneously standardize supernovae together with fitting cosmological parameters.

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