ALeRCE light curve classifier: Tidal disruption event expansion pack
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arXiv
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| Autores principales: | , , , , , , , , , , , |
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| Formato: | Preprint |
| Publicado: |
2025
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| author | Pavez-Herrera, M. Sánchez-Sáez, P. Hernández-García, L. Bauer, F. E. Förster, F. Catelan, M. Arancibia, A. Muñoz Ricci, C. Reyes-Jainaga, I. Bayo, A. Huijse, P. Cabrera-Vives, G. |
| author_facet | Pavez-Herrera, M. Sánchez-Sáez, P. Hernández-García, L. Bauer, F. E. Förster, F. Catelan, M. Arancibia, A. Muñoz Ricci, C. Reyes-Jainaga, I. Bayo, A. Huijse, P. Cabrera-Vives, G. |
| contents | ALeRCE (Automatic Learning for the Rapid Classification of Events) processes the Zwicky Transient Facility (ZTF) alert stream in preparation for the Vera C. Rubin Observatory, classifying objects using a broad taxonomy. The ALeRCE light curve classifier is a balanced random forest (BRF) algorithm with a two-level scheme that uses variability features from the ZTF alert stream and colors from AllWISE and ZTF photometry. This work presents an updated version of the ALeRCE broker light curve classifier that includes tidal disruption events (TDEs) as a new subclass. We incorporated 24 new features, including the distance to the nearest source detected in ZTF science images and a parametric model of the power-law decay for transients. The labeled set was expanded to 219792 spectroscopically classified sources, including 60 TDEs. To integrate TDEs into ALeRCE's taxonomy, we identified specific characteristics that distinguish them from other transients: their central position in a galaxy, their typical decay pattern when fully disrupted, and their lack of color variability after disruption. We developed features to separate TDEs from other transient events. The updated classifier improves performance across all classes and integrates the TDE class with 91 percent recall. It also identifies a large number of potential TDE candidates in the ZTF alert stream's unlabeled data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_19698 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ALeRCE light curve classifier: Tidal disruption event expansion pack Pavez-Herrera, M. Sánchez-Sáez, P. Hernández-García, L. Bauer, F. E. Förster, F. Catelan, M. Arancibia, A. Muñoz Ricci, C. Reyes-Jainaga, I. Bayo, A. Huijse, P. Cabrera-Vives, G. Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena ALeRCE (Automatic Learning for the Rapid Classification of Events) processes the Zwicky Transient Facility (ZTF) alert stream in preparation for the Vera C. Rubin Observatory, classifying objects using a broad taxonomy. The ALeRCE light curve classifier is a balanced random forest (BRF) algorithm with a two-level scheme that uses variability features from the ZTF alert stream and colors from AllWISE and ZTF photometry. This work presents an updated version of the ALeRCE broker light curve classifier that includes tidal disruption events (TDEs) as a new subclass. We incorporated 24 new features, including the distance to the nearest source detected in ZTF science images and a parametric model of the power-law decay for transients. The labeled set was expanded to 219792 spectroscopically classified sources, including 60 TDEs. To integrate TDEs into ALeRCE's taxonomy, we identified specific characteristics that distinguish them from other transients: their central position in a galaxy, their typical decay pattern when fully disrupted, and their lack of color variability after disruption. We developed features to separate TDEs from other transient events. The updated classifier improves performance across all classes and integrates the TDE class with 91 percent recall. It also identifies a large number of potential TDE candidates in the ZTF alert stream's unlabeled data. |
| title | ALeRCE light curve classifier: Tidal disruption event expansion pack |
| topic | Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2503.19698 |