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STACCATO: a novel solution to supernova photometric classification with biased training sets
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| Title: | STACCATO: a novel solution to supernova photometric classification with biased training sets |
| Authors: | Revsbech, EA Trotta, R Van Dyk, D |
| Item 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 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 |
| Content Version: | 1.0 |
| Issue Date: | 9-Oct-2017 |
| URI: | http://hdl.handle.net/10044/1/81198 |
| DOI: | https://doi.org/10.5281/zenodo.3701463 |
| Copyright Statement: | https://creativecommons.org/licenses/by/4.0/legalcode |
| Keywords: | SNIa cosmology classification machine learning |
| Appears in Collections: | Faculty of Natural Sciences - Research Data |