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Gaia contribution to the low-redshift supernova population

Published online by Cambridge University Press:  26 February 2013

Nadejda Blagorodnova ,
Nicholas A. Walton ,
Łukasz Wyrzykowski  and
Simon Hodgkin
Nadejda Blagorodnova
Affiliation:
Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK email: [email protected]
Nicholas A. Walton
Affiliation:
Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK email: [email protected]
Łukasz Wyrzykowski
Affiliation:
Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK email: [email protected] Astronomical Observatory of the University of Warsaw, Al. Ujazdowskie 4, 00-478 Warszawa, Poland
Simon Hodgkin
Affiliation:
Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK email: [email protected]
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Abstract

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The effectiveness of the ESA Gaia mission in obtaining a meaninful sample of supernovae (SNe) is based on three key points: detection rates, characterization capability and an extended validation phase. Focussing on the second, we present our investigations into the use of a range of classification techniques, whereby we demonstrate the ability to discriminate between various SN subtypes, based on the Gaia data (photometry and spectrophotometry) alone. In particular, we comment on the potential ability of Gaia to rapidly estimate SN redshifts and epochs. The methods presented here indicate that ground-based follow-up observations can then be more effectively targeted to the highest-priority SNe.

Keywords

supernovae: generalmethods: statisticalsurveyscatalogs
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 8 , Symposium S289: Advancing the Physics of Cosmic Distances , August 2012 , pp. 363 - 366
Copyright
Copyright © International Astronomical Union 2013

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