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Photometric selection of Type la supernovae in the Supernova Legacy Survey

Identifieur interne : 004775 ( PascalFrancis/Curation ); précédent : 004774; suivant : 004776

Photometric selection of Type la supernovae in the Supernova Legacy Survey

Auteurs : G. Bazin [France, Allemagne] ; V. Ruhlmann-Kleider [France] ; N. Palanque-Delabrouille [France] ; J. Rich [France] ; E. Aubourg [France] ; P. Astier [France] ; C. Balland [France] ; S. Basa [France] ; R. G. Carlberg [Canada] ; A. Conley [États-Unis] ; D. Fouchez [France] ; J. Guy [France] ; D. Hardin [France] ; I. M. Hook [Royaume-Uni, Italie] ; D. A. Howell [États-Unis] ; R. Pain [France] ; K. Perrett [Canada] ; C. J. Pritchet [Canada] ; N. Regnault [France] ; M. Sullivan [Royaume-Uni] ; N. Fourmanoit [France] ; S. Gonzalez-Gaitan [Canada] ; C. Lidman [Australie] ; S. Perlmutter [États-Unis] ; P. Ripoche [France, États-Unis] ; E. S. Walker [Royaume-Uni, Italie]

Source :

RBID : Pascal:12-0017817

Descripteurs français

English descriptors

Abstract

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.
pA  
A01 01  1    @0 0004-6361
A02 01      @0 AAEJAF
A03   1    @0 Astron. astrophys. : (Berl., Print)
A05       @2 534
A06       @3 p. 1
A08 01  1  ENG  @1 Photometric selection of Type la supernovae in the Supernova Legacy Survey
A11 01  1    @1 BAZIN (G.)
A11 02  1    @1 RUHLMANN-KLEIDER (V.)
A11 03  1    @1 PALANQUE-DELABROUILLE (N.)
A11 04  1    @1 RICH (J.)
A11 05  1    @1 AUBOURG (E.)
A11 06  1    @1 ASTIER (P.)
A11 07  1    @1 BALLAND (C.)
A11 08  1    @1 BASA (S.)
A11 09  1    @1 CARLBERG (R. G.)
A11 10  1    @1 CONLEY (A.)
A11 11  1    @1 FOUCHEZ (D.)
A11 12  1    @1 GUY (J.)
A11 13  1    @1 HARDIN (D.)
A11 14  1    @1 HOOK (I. M.)
A11 15  1    @1 HOWELL (D. A.)
A11 16  1    @1 PAIN (R.)
A11 17  1    @1 PERRETT (K.)
A11 18  1    @1 PRITCHET (C. J.)
A11 19  1    @1 REGNAULT (N.)
A11 20  1    @1 SULLIVAN (M.)
A11 21  1    @1 FOURMANOIT (N.)
A11 22  1    @1 GONZALEZ-GAITAN (S.)
A11 23  1    @1 LIDMAN (C.)
A11 24  1    @1 PERLMUTTER (S.)
A11 25  1    @1 RIPOCHE (P.)
A11 26  1    @1 WALKER (E. S.)
A14 01      @1 CEA, Centre de Saclay, Irfu/SPP @2 91191 Gif-sur-Yvette @3 FRA @Z 1 aut. @Z 2 aut. @Z 3 aut. @Z 4 aut. @Z 5 aut.
A14 02      @1 LPNHE, Université Pierre et Marie Curie, Université Paris Diderot, CNRS-IN2P3, 4 place Jussieu @2 75252 Paris @3 FRA @Z 6 aut. @Z 7 aut. @Z 12 aut. @Z 13 aut. @Z 16 aut. @Z 19 aut. @Z 21 aut. @Z 25 aut.
A14 03      @1 University Paris 11 @2 91405 Orsay @3 FRA @Z 7 aut.
A14 04      @1 LAM, CNRS-INSU, BP 8, Pôle de l'étoile, Site de Château-Gombert, 38 rue Frédéric Joliot-Curie @2 13388 Marseille @3 FRA @Z 8 aut.
A14 05      @1 Deparment of Astronomy and Astrophysics, University of Toronto, 50 St. George Street @2 Toronto, ON M5S 3H8 @3 CAN @Z 9 aut. @Z 17 aut. @Z 22 aut.
A14 06      @1 Center for Astrophysics and Space Astronomy, University of Colorado @2 Boulder, CO 80309-0389 @3 USA @Z 10 aut.
A14 07      @1 CPPM, CNRS-Luminy, Case 907 @2 13288 Marseille @3 FRA @Z 11 aut.
A14 08      @1 Department of Physics (Astrophysics), University of Oxford, Denys Wilkinson Building, Keble Road @2 Oxford OX1 3RH @3 GBR @Z 14 aut. @Z 20 aut. @Z 26 aut.
A14 09      @1 INAF - Osservatorio Astronomico di Roma, via Frascati 33 @2 00040 Monteporzio (RM) @3 ITA @Z 14 aut.
A14 10      @1 Las Cumbres Observatory Global Telescope Network, 6740 Cortona Dr., Suite 102 @2 Goleta, CA 93117 @3 USA @Z 15 aut.
A14 11      @1 Department of Physics, University of California, Santa Barbara, Broida Hall, Mail Code 9530 @2 Santa Barbara, CA 93106-9530 @3 USA @Z 15 aut.
A14 12      @1 Network Information Operations, DRDC-Ottawa, 3701 Carling Avenue @2 Ottawa, ON, K1A 0Z4 @3 CAN @Z 17 aut.
A14 13      @1 Department of Physics and Astronomy, University of Victoria, PO Box 3055 @2 Victoria, BC V8W 3P6 @3 CAN @Z 18 aut.
A14 14      @1 Australian Astronomical Observatory, PO Box 296 @2 Epping, NSW 1710 @3 AUS @Z 23 aut.
A14 15      @1 LBNL, 1 Cyclotron Rd @2 Berkeley, CA 94720 @3 USA @Z 24 aut. @Z 25 aut.
A14 16      @1 Scuola Normale Superiore, Piazza des Cavalieri 7 @2 56126 Pisa @3 ITA @Z 26 aut.
A14 17      @1 Department of Physics, Ludwig-Maximilians-Universität, Scheinerstr. 1, 81679 München and Excellence Cluster Universe, Boltzmannstr. 2 @2 85748 Garchhing @3 DEU @Z 1 aut.
A20       @2 A43.1-A43.21
A21       @1 2011
A23 01      @0 ENG
A43 01      @1 INIST @2 14176 @5 354000505662400440
A44       @0 0000 @1 © 2012 INIST-CNRS. All rights reserved.
A45       @0 1/4 p.
A47 01  1    @0 12-0017817
A60       @1 P
A61       @0 A
A64 01  1    @0 Astronomy and astrophysics : (Berlin. Print)
A66 01      @0 FRA
C01 01    ENG  @0 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.
C02 01  3    @0 001E03
C03 01  X  FRE  @0 Supernova type I @5 26
C03 01  X  ENG  @0 Type I supernova @5 26
C03 01  X  SPA  @0 Supernova tipo I @5 26
C03 02  3  FRE  @0 Courbe lumière @5 27
C03 02  3  ENG  @0 Light curves @5 27
C03 03  3  FRE  @0 Galaxies @5 28
C03 03  3  ENG  @0 Galaxies @5 28
C03 04  3  FRE  @0 Déplacement vers le rouge @5 29
C03 04  3  ENG  @0 Red shift @5 29
C03 05  X  FRE  @0 Diagramme Hubble @5 30
C03 05  X  ENG  @0 Hubble diagram @5 30
C03 05  X  SPA  @0 Diagrama Hubble @5 30
C03 06  3  FRE  @0 Cosmologie @5 31
C03 06  3  ENG  @0 Cosmology @5 31
N21       @1 002
N44 01      @1 OTO
N82       @1 OTO

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Pascal:12-0017817

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<name sortKey="Pain, R" sort="Pain, R" uniqKey="Pain R" first="R." last="Pain">R. Pain</name>
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<author>
<name sortKey="Pritchet, C J" sort="Pritchet, C J" uniqKey="Pritchet C" first="C. J." last="Pritchet">C. J. Pritchet</name>
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<s1>Department of Physics and Astronomy, University of Victoria, PO Box 3055</s1>
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<name sortKey="Regnault, N" sort="Regnault, N" uniqKey="Regnault N" first="N." last="Regnault">N. Regnault</name>
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<s1>LPNHE, Université Pierre et Marie Curie, Université Paris Diderot, CNRS-IN2P3, 4 place Jussieu</s1>
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<author>
<name sortKey="Sullivan, M" sort="Sullivan, M" uniqKey="Sullivan M" first="M." last="Sullivan">M. Sullivan</name>
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<s1>Department of Physics (Astrophysics), University of Oxford, Denys Wilkinson Building, Keble Road</s1>
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<title xml:lang="en" level="a">Photometric selection of Type la supernovae in the Supernova Legacy Survey</title>
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<s1>Department of Physics, Ludwig-Maximilians-Universität, Scheinerstr. 1, 81679 München and Excellence Cluster Universe, Boltzmannstr. 2</s1>
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<country>Allemagne</country>
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<s1>University Paris 11</s1>
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<s1>Department of Physics, University of California, Santa Barbara, Broida Hall, Mail Code 9530</s1>
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<term>Type I supernova</term>
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<div type="abstract" xml:lang="en">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 g
<sub>M</sub>
, r
<sub>M</sub>
, i
<sub>M</sub>
and z
<sub>M</sub>
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.</div>
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<sub>M</sub>
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<sub>M</sub>
, i
<sub>M</sub>
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