PISCOLA

Python for Intelligent Supernova COsmology Light-curve Analysis (PISCOLA) is a code I have developed as part of my PhD to fit Type Ia supernova light curves in a data-driven way using Gaussian Process. The post analysis is done with Non-negative Matrix Factorization, a machine learning approach to extract features/parameters from the rest-frame light curves in order to do cosmology (Müller-Bravo et al., in prep.).

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Tomás E. Müller Bravo
Tomás E. Müller Bravo
Research Fellow

My research interests include Supernovae, Cosmology and Data Science.

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