Astronomy has entered the multi-messenger data era and Data Science has found widespread use in a large variety of applications. The exploitation of synoptic (multi-band and multi-epoch) surveys, like Rubin-LSST, requires an extensive use of automatic methods for data processing and interpretation. With data volumes in the petabyte domain, the discrimination of time critical information has already exceeded the capabilities of human operators and crowds of scientists have extreme difficulty to manage such amounts of data in multi-dimensional domains. Therefore, a change of perspective is required to explore Time Domain Astronomy (TDA) in an efficient and semi-automatic way, introducing the Time Domain Astroinformatics as the virtuous synergy between TDA and Data Science domains.
Time Domain Astroinformatics / Brescia, Massimo. - 60:(2023).
Time Domain Astroinformatics
Massimo Brescia
Primo
Writing – Review & Editing
2023
Abstract
Astronomy has entered the multi-messenger data era and Data Science has found widespread use in a large variety of applications. The exploitation of synoptic (multi-band and multi-epoch) surveys, like Rubin-LSST, requires an extensive use of automatic methods for data processing and interpretation. With data volumes in the petabyte domain, the discrimination of time critical information has already exceeded the capabilities of human operators and crowds of scientists have extreme difficulty to manage such amounts of data in multi-dimensional domains. Therefore, a change of perspective is required to explore Time Domain Astronomy (TDA) in an efficient and semi-automatic way, introducing the Time Domain Astroinformatics as the virtuous synergy between TDA and Data Science domains.File | Dimensione | Formato | |
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