Multiscale Stamps for Real-time Classification of Alert Streams

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dc.contributor.authorReyes-Jainaga, Ignacio
dc.contributor.authorFörster, Francisco
dc.contributor.authorMuñoz Arancibia, Alejandra M.
dc.contributor.authorCabrera-Vives, Guillermo
dc.contributor.authorBayo, Amelia
dc.contributor.authorBauer, Franz E.
dc.contributor.authorArredondo, Javier
dc.contributor.authorReyes, Esteban
dc.contributor.authorPignata, Giuliano
dc.contributor.authorMourão A.M.
dc.contributor.authorSilva-Farfán, Javier
dc.contributor.authorGalbany, Lluís
dc.contributor.authorÁlvarez, Alex
dc.contributor.authorAstorga, Nicolás
dc.contributor.authorCastellanos, Pablo
dc.contributor.authorGallardo, Pedro
dc.contributor.authorMoya, Alberto
dc.contributor.authorRodríguez, Diego
dc.date.accessioned2024-12-20T19:58:06Z
dc.date.available2024-12-20T19:58:06Z
dc.date.issued2023-08
dc.descriptionIndexación: Scopus
dc.description.abstractIn recent years, automatic classifiers of image cutouts (also called “stamps”) have been shown to be key for fast supernova discovery. The Vera C. Rubin Observatory will distribute about ten million alerts with their respective stamps each night, enabling the discovery of approximately one million supernovae each year. A growing source of confusion for these classifiers is the presence of satellite glints, sequences of point-like sources produced by rotating satellites or debris. The currently planned Rubin stamps will have a size smaller than the typical separation between these point sources. Thus, a larger field-of-view stamp could enable the automatic identification of these sources. However, the distribution of larger stamps would be limited by network bandwidth restrictions. We evaluate the impact of using image stamps of different angular sizes and resolutions for the fast classification of events (active galactic nuclei, asteroids, bogus, satellites, supernovae, and variable stars), using data from the Zwicky Transient Facility. We compare four scenarios: three with the same number of pixels (small field of view with high resolution, large field of view with low resolution, and a multiscale proposal) and a scenario with the full stamp that has a larger field of view and higher resolution. Compared to small field-of-view stamps, our multiscale strategy reduces misclassifications of satellites as asteroids or supernovae, performing on par with high-resolution stamps that are 15 times heavier. We encourage Rubin and its Science Collaborations to consider the benefits of implementing multiscale stamps as a possible update to the alert specification. © 2023. The Author(s). Published by the American Astronomical Society.
dc.description.urihttps://iopscience-iop-org.recursosbiblioteca.unab.cl/article/10.3847/2041-8213/ace77e
dc.identifier.citationAstrophysical Journal Letters. Volume 952, Issue 2. 1 August 2023. Article number L43
dc.identifier.doi10.3847/2041-8213/ace77e
dc.identifier.issn2041-8205
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/62670
dc.language.isoen
dc.publisherAmerican Astronomical Society
dc.rights.licenseAttribution 4.0 International Deed (CC BY 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectVariable Star
dc.subjectMethods: Data Analysis
dc.subjectMachine Learning
dc.subjectAstroinformatics (78)
dc.subjectTransient Detection (1957)
dc.subjectSky Surveys (1464)
dc.subjectStamps
dc.titleMultiscale Stamps for Real-time Classification of Alert Streams
dc.typeArtículo
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