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tdescore : An Accurate Photometric Classifier for Tidal Disruption Events
- Stein, Robert (author)
- Mahabal, Ashish (author)
- Reusch, Simeon (author)
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- Graham, Matthew (author)
- Kasliwal, Mansi M. (author)
- Kowalski, Marek (author)
- Gezari, Suvi (author)
- Hammerstein, Erica (author)
- Nakoneczny, Szymon J. (author)
- Nicholl, Matt (author)
- van Velzen, Sjoert (author)
- Yao, Yuhan (author)
- Laher, Russ R. (author)
- Rusholme, Ben (author)
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- (creator_code:org_t)
- 2024
- 2024
- English.
- In: Astrophysical Journal Letters. - 2041-8205 .- 2041-8213. ; 965:2
- Journal article (peer-reviewed)
Abstract
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- Optical surveys have become increasingly adept at identifying candidate tidal disruption events (TDEs) in large numbers, but classifying these generally requires extensive spectroscopic resources. Here we present tdescore, a simple binary photometric classifier that is trained using a systematic census of ∼3000 nuclear transients from the Zwicky Transient Facility (ZTF). The sample is highly imbalanced, with TDEs representing ∼2% of the total. tdescore is nonetheless able to reject non-TDEs with 99.6% accuracy, yielding a sample of probable TDEs with recall of 77.5% for a precision of 80.2%. tdescore is thus substantially better than any available TDE photometric classifier scheme in the literature, with performance not far from spectroscopy as a method for classifying ZTF nuclear transients, despite relying solely on ZTF data and multiwavelength catalog cross matching. In a novel extension, we use "Shapley additive explanations" to provide a human-readable justification for each individual tdescore classification, enabling users to understand and form opinions about the underlying classifier reasoning. tdescore can serve as a model for photometric identification of TDEs with time-domain surveys, such as the upcoming Rubin observatory.
Subject headings
- NATURVETENSKAP -- Fysik -- Astronomi, astrofysik och kosmologi (hsv//swe)
- NATURAL SCIENCES -- Physical Sciences -- Astronomy, Astrophysics and Cosmology (hsv//eng)
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- Hammerstein, Eri ...
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- Yao, Yuhan
- Laher, Russ R.
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