Standardizing type Ia supernova absolute magnitudes using Gaussian process data regression
Kim, Alex G; Thomas, R. C.; Aldering, G; Antilogus, P; Aragon, C; Bailey, S; Baltay, C; Bongard, S; Buton, C; Canto, A; Cellier-Holzem, F; Childress, M; Chotard, N; Copin, Y; Fakhouri, H K; Gangler, E; Guy, J; Kerschhaggl, M; Kowalski, M; Nordin, J; Nugent, Peter; Paech, K; Scalzo, Richard
We present a novel class of models for Type Ia supernova time-evolving spectral energy distributions (SEDs) and absolute magnitudes: they are each modeled as stochastic functions described by Gaussian processes. The values of the SED and absolute magnitudes are defined through well-defined regression prescriptions, so that data directly inform the models. As a proof of concept, we implement a model for synthetic photometry built from the spectrophotometric time series from the Nearby Supernova...[Show more]
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|Source:||Astrophysical Journal, The|
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