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Photometric selection of Type Ia supernovae in the Supernova Legacy Survey
Bazin G., Ruhlmann-Kleider V., Palanque-Delabrouille N., Rich J., Aubourg E. et al
Astronomy and Astrophysics 534 (2011) A43 - http://hal.archives-ouvertes.fr/hal-00736938
Planète et Univers/Astrophysique/Cosmologie et astrophysique extra-galactique
Physique/Astrophysique/Cosmologie et astrophysique extra-galactique
Photometric selection of Type Ia supernovae in the Supernova Legacy Survey
G. Bazin1, V. Ruhlmann-Kleider1, N. Palanque-Delabrouille1, J. Rich1, E. Aubourg1, 2, P. Astier3, C. Balland3, S. Basa4, R. G. Carlberg, A. Conley, D. Fouchez5, J. Guy3, D. Hardin3, I. M. Hook, D. A. Howell, R. Pain3, K. Perrett, C. J. Pritchet, N. Regnault3, M. Sullivan, N. Fourmanoit3, S. González-Gaitán, C. Lidman, S. Perlmutter, P. Ripoche3, E. S. Walker
1 :  IRFU - Institut de Recherches sur les lois Fondamentales de l'Univers (ex DAPNIA)
2 :  APC - UMR 7164 - AstroParticule et Cosmologie
CNRS : UMR7164 – IN2P3 – Observatoire de Paris – Université Paris VII - Paris Diderot – CEA : DSM/IRFU
APC - UMR 7164, Université Paris Diderot, 10 rue Alice Domon et Léonie Duquet, case postale 7020, F-75205 Paris Cedex 13
3 :  LPNHE - Laboratoire de Physique Nucléaire et de Hautes Énergies
CNRS : UMR7585 – IN2P3 – Université Pierre et Marie Curie (UPMC) - Paris VI – Université Paris VII - Paris Diderot
Barre 12-22, 1er étage 4 Place Jussieu 75252 Paris Cedex 05
4 :  LAM - Laboratoire d'Astrophysique de Marseille
CNRS : UMR7326 – INSU – Aix Marseille Université
Pôle de l'Étoile Site de Château-Gombert 38, rue Frédéric Joliot-Curie 13388 Marseille cedex 13
5 :  CPPM - Centre de Physique des Particules de Marseille
CNRS : UMR7346 – IN2P3 – Université de la Méditerranée - Aix-Marseille II
163, avenue de Luminy - Case 902 - 13288 Marseille cedex 09
APC - Cosmologie et Gravitation
We present a sample of 485 photometrically identified Type Ia supernova candidates mined from the first three years of data of the CFHT SuperNova Legacy Survey (SNLS). The images were submitted to a deferred processing independent of the SNLS real-time detection pipeline. Light curves of all transient events were reconstructed in the gM, rM, iM and zM filters and submitted to automated sequential cuts in order to identify possible supernovae. Pure noise and long-term variable events were rejected by light curve shape criteria. Type Ia supernova identification relied on event characteristics fitted to their light curves assuming the events to be normal SNe Ia. The light curve fitter SALT2 was used for this purpose, assigning host galaxy photometric redshifts to the tested events. The selected sample of 485 candidates is one magnitude deeper than that allowed by the SNLS spectroscopic identification. The contamination by supernovae of other types is estimated to be 4%. Testing Hubble diagram residuals with this enlarged sample allows us to measure the Malmquist bias due to spectroscopic selections directly. The result is fully consistent with the precise Monte Carlo based estimate used to correct SN Ia distance moduli in the SNLS 3-year cosmological analyses. This paper demonstrates the feasibility of a photometric selection of high redshift supernovae with known host galaxy redshifts, opening interesting prospects for cosmological analyses from future large photometric SN Ia surveys.

Astronomy and Astrophysics (Astron. Astrophys.)
Publisher EDP Sciences
ISSN 0004-6361 (eISSN : 1432-0756)
Articles dans des revues avec comité de lecture

supernovae: general – cosmology: observations
(The SNLS collaboration) 23 pages, 28 figures, Accepted in A&A

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