Real Time Classification of Transient Events in Synoptic Sky Surveys
| Autor: | Ashish Mahabal, Y. Chen, M. Turmon, Roy Williams, S. G. Djorgovski, B. Moghaddam, Matthew J. Graham, C. Donalek, Andrew Drake |
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| Rok vydání: | 2011 |
| Předmět: |
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
010308 nuclear & particles physics Computer science media_common.quotation_subject Orders of magnitude (acceleration) Bayesian probability Testbed FOS: Physical sciences Astronomy and Astrophysics 01 natural sciences CRTS Space and Planetary Science Sky 0103 physical sciences Transient (computer programming) Astrophysics - Instrumentation and Methods for Astrophysics Real time classification 010303 astronomy & astrophysics Instrumentation and Methods for Astrophysics (astro-ph.IM) Astrophysics - Cosmology and Nongalactic Astrophysics Remote sensing media_common |
| DOI: | 10.48550/arxiv.1111.3699 |
| Popis: | An automated, rapid classification of transient events detected in the modern synoptic sky surveys is essential for their scientific utility and effective follow-up using scarce resources. This problem will grow by orders of magnitude with the next generation of surveys. We are exploring a variety of novel automated classification techniques, mostly Bayesian, to respond to these challenges, using the ongoing CRTS sky survey as a testbed. We describe briefly some of the methods used. Comment: 3 pages, to appear in Proc. IAU 285, "New Horizons in Transient Astronomy", Oxford, Sept. 2011 |
| Databáze: | OpenAIRE |
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