ALeRCE light curve classifier: Tidal disruption event expansion pack

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dc.article.numberA153
dc.catalogadorpau
dc.contributor.authorPavez Herrera, M.
dc.contributor.authorSánchez Sáez, P.
dc.contributor.authorHernández García, L.
dc.contributor.authorBauer, F. E.
dc.contributor.authorFörster, F.
dc.contributor.authorCatelan, Márcio
dc.contributor.authorMuñoz Arancibia, A.
dc.contributor.authorRicci, C.
dc.contributor.authorReyes Jainaga, I.
dc.contributor.authorBayo, A.
dc.contributor.authorHuijse, P.
dc.contributor.authorCabrera Vives, G.
dc.date.accessioned2025-04-30T20:18:28Z
dc.date.available2025-04-30T20:18:28Z
dc.date.issued2025
dc.description.abstractContext. ALeRCE (Automatic Learning for the Rapid Classification of Events) is currently processing the Zwicky Transient Facility (ZTF) alert stream, in preparation for the Vera C. Rubin Observatory, and 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 computed from the ZTF alert stream, and colors obtained from AllWISE and ZTF photometry. Aims. This work develops an updated version of the ALeRCE broker light curve classifier that includes tidal disruption events TDEs) as a new subclass. For this purpose we incorporated 24 new features, notably including the distance to the nearest source detected in ZTF science images and a parametric model of the power-law decay for transients. We also expanded the labeled set to include 219 792 spectroscopically classified sources, including 60 TDEs. Methods. To effectively integrate TDEs into the ALeRCE’s taxonomy, we identified specific characteristics that set them apart from other transient classes, such as their central position in a galaxy, the typical decay pattern displayed when fully disrupted, and the lack of color variability after disruption. Based on these attributes, we developed features to distinguish TDEs from other transient events. Results. The modified classifier can distinguish between a broad range of classes with a better performance compared to the previous version and it can integate the TDE class achieving 91% recall, also identifying a large number of potential TDE candidates in ZTF alert stream unlabeled data.
dc.fechaingreso.objetodigital2025-04-30
dc.format.extent20 páginas
dc.fuente.origenORCID
dc.identifier.doi10.1051/0004-6361/202451951
dc.identifier.urihttps://doi.org/10.1051/0004-6361/202451951
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/103562
dc.information.autorucInstituto de Astrofísica; Catelan, Márcio; 0000-0001-6003-8877; 1001556
dc.information.autorucInstituto de Física; Bauer, F. E.; 0000-0002-8686-8737; 1007961
dc.issue.numero696
dc.language.isoen
dc.nota.accesocontenido completo
dc.revistaAstronomy & Astrophysics
dc.rightsacceso abierto
dc.subjectMethods: Data analysis
dc.subjectMethods: numerical
dc.subject.ddc520
dc.subject.deweyAstronomíaes_ES
dc.titleALeRCE light curve classifier: Tidal disruption event expansion pack
dc.typeartículo
sipa.codpersvinculados1001556
sipa.codpersvinculados1007961
sipa.trazabilidadORCID;2025-04-21
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