L. Hangard (Author), T. Petrushevska (Author)

Abstract

The intermediate Palomar Transient Factory (ATel #4807) reports the discovery and classification of the following Type Ia SNe. Our automated candidate vetting to distinguish a real astrophysical source (1.0) from bogus artifacts (0.0) is powered by three generations of machine learning algorithms: RB2 (Brink et al. 2013MNRAS.435.1047B), RB4 (Rebbapragada et al. 2015AAS...22543402R) and RB5 (Wozniak et al. 2013AAS...22143105W).

Keywords

supernovae;transient;

Data

Language: English
Year of publishing:
Typology: 1.25 - Other Component Parts
Organization: UNG - University of Nova Gorica
Publisher: McGill University
UDC: 524
COBISS: 5001467 Link will open in a new window
ISSN: Y507-5343
Views: 2346
Downloads: 0
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Metadata: JSON JSON-RDF JSON-LD TURTLE N-TRIPLES XML RDFA MICRODATA DC-XML DC-RDF RDF

Other data

URN: URN:SI:UNG
Type (COBISS): Not categorized
Pages: str. 1
Issue: ǂNo. ǂ8966
Chronology: 2016
ID: 10900356
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