Hostname: page-component-cd9895bd7-gxg78 Total loading time: 0 Render date: 2024-12-25T17:18:55.093Z Has data issue: false hasContentIssue false

Gaia contribution to the low-redshift supernova population

Published online by Cambridge University Press:  26 February 2013

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]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

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.

Type
Contributed Papers
Copyright
Copyright © International Astronomical Union 2013

References

Altavilla, G., Botticella, M. T., Cappellaro, E., & Turatto, M. 2012, Ap&SS, 341, 163AGoogle Scholar
Belokurov, V. A. & Evans, N. W. 2003, MNRAS, 341, 569BGoogle Scholar
Bruijne, J. H. J. 2012, Ap&SS, 341, 31Google Scholar
Jordi, C., Gebran, M., Carrasco, J. M., de Bruijne, J., Voss, H., Fabricius, C., Knude, J., Vallenari, A., Kohley, R., & Mora, A. 2010, A&A, 523, A48Google Scholar
Mignard, F. & Prusti, T. 2012, DPAC Newsletter, 18, 5Google Scholar
Rau, A., et al. 2009, PASP, 121, 1334CrossRefGoogle Scholar
Valenti, S., et al. 2012, ATel, 4037, 1Google Scholar
Wyrzykowski, Ł. & Hodgkin, S. 2011, in: New Horizons in Time-Domain Astronomy (Griffin, R. E. M., Hanisch, R. J., & Seaman, R., eds.), Proc. IAU Symposium 285, p. 425Google Scholar