STACCATO: a novel solution to supernova photometric classification with biased training sets
Author(s)
Revsbech, Esben A
Trotta, Roberto
van Dyk, David
Type
Software / Code
Abstract
R implementation of STACCATO method for supernova classification with biased training set. Accompanying paper:
STACCATO: A Novel Solution to Supernova Photometric Classification with Biased Training Sets,
E.A. Resvbech, R. Trotta & D.A. van Dyk, MNRAS 473, 3, 3969-3986 (2018), e-print archive: 1706.03811, doi
STACCATO: A Novel Solution to Supernova Photometric Classification with Biased Training Sets,
E.A. Resvbech, R. Trotta & D.A. van Dyk, MNRAS 473, 3, 3969-3986 (2018), e-print archive: 1706.03811, doi
Version
1.0
Date Issued
2017-10-09
Citation
2017
Copyright Statement
https://creativecommons.org/licenses/by/4.0/legalcode
Subjects
SNIa
cosmology
classification
machine learning
