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Searching for codes credited to 'Müller-Bravo, Tomás E.'

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[ascl:2110.007] PISCOLA: Python for Intelligent Supernova-COsmology Light-curve Analysis

PISCOLA (Python for Intelligent Supernova-COsmology Light-curve Analysis) fits supernova light curves and corrects them in a few lines of code. It uses Gaussian Processes to estimate rest-frame light curves of transients without needing an underlying light-curve template. The user can add filters, calculates the light-curves parameters, and obtain transmission functions for the observed filters and the Bessell filters. The correction process can be applied with default settings to obtain restframe light curves and light-curve parameters. PISCOLA can plot the SN light curves, filter transmission functions, light-curves fits results, the mangling function for a given phase, and includes several utilities that can, for example, convert fluxes to magnitudes and magnitudes to fluxes, and trim leading and trailing zeros from a 1-D array or sequence.