2022
DOI: 10.1051/0004-6361/202142715
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Fink: Early supernovae Ia classification using active learning

Abstract: Context. The Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) will produce a continuous stream of alerts made of varying sources in the sky. This data flow will be publicly advertised and distributed to scientists via broker systems such as FINK, whose task is to extract scientific information from the stream. Given the complexity and volume of the data to be generated, LSST is a prime target for machine learning (ML) techniques. One of the most challenging stages of this task is the constructi… Show more

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Cited by 14 publications
(9 citation statements)
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“…These classification scores are and can be used for customizable selection of events with partial and complete data. Current algorithms include filters for: early SN (Leoni et al 2022) Lasair. The Lasair broker (Smartt 2021) will cross-match the alert stream with observations and objects from astronomical catalogs, such as stars, galaxies, active galactic nuclei and cataclysmic variables.…”
Section: Rubin Lsst Alert Brokersmentioning
confidence: 99%
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“…These classification scores are and can be used for customizable selection of events with partial and complete data. Current algorithms include filters for: early SN (Leoni et al 2022) Lasair. The Lasair broker (Smartt 2021) will cross-match the alert stream with observations and objects from astronomical catalogs, such as stars, galaxies, active galactic nuclei and cataclysmic variables.…”
Section: Rubin Lsst Alert Brokersmentioning
confidence: 99%
“…These algorithms allow us to obtain the largest number and most diverse sample of SNe across cosmic time. Additionally early classifiers can allow us to trigger follow-up to obtain additional follow-up observations such as spectra (Leoni et al 2022). This will allow us to characterize SNe rates, population properties and determine sub-classes boundaries.…”
Section: Explore Sne Diversitymentioning
confidence: 99%
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“…To reduce the number of spurious detections it will be necessary to increase the number of detections necessary for follow-up and monitor whether the light-curve is rising in brightness together with a classifier (e.g. Leoni et al (2022)) or to implement a requirement for a second detection within 30 days as in DES.…”
Section: Prospectives For Rubin and 4mostmentioning
confidence: 99%
“…Some of these methods have been used for obtaining cosmological constraints (Chen et al 2022;Ruhlmann-Kleider et al 2022). However, precise classification without the use of any redshift information remains a challenge in particular when using early light-curves (Möller et al 2021;Leoni et al 2022;Moller & Main de Boissiere 2022).…”
Section: Introductionmentioning
confidence: 99%