The ALeRCE LC Classifier transient sample from 5 yrs of ZTF alerts

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dc.contributor.advisorBauer, Franz Erik
dc.contributor.advisorCatelan, Márcio
dc.contributor.authorCorrea Orellana, Javier Ignacio
dc.contributor.otherPontificia Universidad Católica de Chile. Facultad de Física. Instituto de Astrofísica
dc.date.accessioned2025-07-25T14:25:03Z
dc.date.available2025-07-25T14:25:03Z
dc.date.issued2025
dc.date.updated2025-07-25T02:46:16Z
dc.descriptionTesis (Master’s degree in Astrophysics)--Pontificia Universidad Católica de Chile, 2025
dc.description.abstractExtragalactic transients such as supernovae are some of the most powerful phenomena in the universe, and have enabled multiple studies in thefields such as star formation and stellar evolution beyond the Milky Way,nucleosynthesis and cosmology. Specifics on their progenitors are still anopen question, and host galaxies can provide important context, since theirstellar populations are linked to potential progenitors.Theadvent of unbiased wide-field surveys has provided homogeneous samples of transients, with machine learning codes helping to leverage as muchinformation as possible. In this pursuit, we assembled a sample of transients from the Automatic Learning for the Rapid Classification of EventsLight Curve Classifier discovered by the Zwicky Transient Facility between2018 and 2023, including 22627 transients out to z∼0.5, with 7269 having spectroscopic classifications in the Transient Name Server. Transientswere associated to their host galaxies, for which we extracted photometry,collected redshifts, and fit them with spectral energy distributions to derive physical properties such as stellar mass and star formation rate. Thesefeatures, along some regarding their light curves shapes and peaks, werecompiled into a catalog for publication, one of the largest of its kind.The catalog was used to assess transient properties and transient-hostrelations from the literature. We found consistency with previous worksregarding transient luminosities and physical properties of their host galaxies, with higher statistical significance given the larger sample size. Theseresults set important precedents for the future (e.g., Rubin Observatory).
dc.fechaingreso.objetodigital2025-07-25
dc.format.extentvi, 87 páginas
dc.fuente.origenAutoarchivo
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/105030
dc.information.autorucInstituto de Astrofísica; Bauer, Franz Erik; 0000-0002-8686-8737; 1007961
dc.information.autorucInstituto de Astrofísica; Catelan, Márcio; 0000-0001-6003-8877; 1001556
dc.information.autorucInstituto de Astrofísica; Correa Orellana, Javier Ignacio; S/I; 1044952
dc.language.isoen
dc.nota.accesocontenido completo
dc.rightsacceso abierto
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject.ddc510
dc.subject.deweyMatemática física y químicaes_ES
dc.titleThe ALeRCE LC Classifier transient sample from 5 yrs of ZTF alerts
dc.typetesis de maestría
sipa.codpersvinculados1007961
sipa.codpersvinculados1001556
sipa.codpersvinculados1044952
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