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A Measurement of the Rate of Type Ia Supernovae at Redshift z 0.1 from the First Season of the SDSS-II Supernova Survey

Authors :
Dilday, Benjamin
Kessler, Richard
Frieman, Joshua A.
Holtzman, Jon
Marriner, John
Miknaitis, Gajus
Nichol, Robert C.
Romani, Roger
Sako, Masao
Bassett, Bruce
Becker, Andrew
Cinabro, David
DeJongh, Fritz
Depoy, Darren L.
Doi, Mamoru
Garnavich, Peter M.
Hogan, Craig J.
Jha, Saurabh
Konishi, Kohki
Lampeitl, Hubert
Marshall, Jennifer L.
McGinnis, David
Luis, Jose
Riess, Adam G.
Richmond, Michael W.
Schneider, Donald P.
Smith, Mathew
Takanashi, Naohiro
Tokita, Kouichi
van, Kurt
Heyden, der
Yasuda, Naoki
Zheng, Chen
Barentine, John
Brewington, Howard
Choi, Changsu
Crotts, Arlin
Dembicky, Jack
Harvanek, Michael
Im, Myunshin
Ketzeback, William
Kleinman, Scott J.
Krzesinski, Jurek
Long, Daniel C.
Malanushenko, Elena
Malanushenko, Viktor
McMillan, Russet J.
Nitta, Atsuko
Pan, Kaike
Saurage, Gabrelle
Snedden, Stephanie A.
Watters, Shannon
Wheeler, Craig
York, Donald
Source :
The Astrophysical Journal; July 2008, Vol. 682 Issue: 1 p262-282, 21p
Publication Year :
2008

Abstract

We present a measurement of the rate of Type Ia supernovae (SNe Ia) from the first of three seasons of data from the SDSS-II Supernova Survey. For this measurement, we include 17 SNe Ia at redshift <IMG SRC="eq-00001.gif" ALT="z\leq 0.12"/> z [?] 0.12. Assuming a flat cosmology with <IMG SRC="eq-00002.gif" ALT="\Omega _{m}=0.3=1-\Omega _{\Lambda }"/> Om = 0.3 = 1 [?] OL, we find a volumetric SN Ia rate of <IMG SRC="eq-00003.gif" ALT="[ 2.93^{+0.17}_{-0.04}(\mathrm{systematic}\,) ^{+0.90}_{-0.71}(\mathrm{statistical}\,) ] \times 10^{-5}\ \mathrm{SNe}\,\ \mathrm{Mpc}\,^{-3}\ h^{3}_{70}\ \mathrm{yr}\,^{-1}"/> [ 2.93+ 0.17[?]0.04(systematic)+ 0.90[?]0.71(statistical) ] x 10[?]5 SNe Mpc [?]3 h370 yr [?]1, at a volume-weighted mean redshift of 0.09. This result is consistent with previous measurements of the SN Ia rate in a similar redshift range. The systematic errors are well controlled, resulting in the most precise measurement of the SN Ia rate in this redshift range. We use a maximum likelihood method to fit SN rate models to the SDSS-II Supernova Survey data in combination with other rate measurements, thereby constraining models for the redshift evolution of the SN Ia rate. Fitting the combined data to a simple power-law evolution of the volumetric SN Ia rate, <IMG SRC="eq-00004.gif" ALT="r_{V}\propto (1+z) ^{\beta }"/> rV [?] (1 + z)b, we obtain a value of <IMG SRC="eq-00005.gif" ALT="\beta =1.5\pm 0.6"/> b = 1.5 +- 0.6, i.e., the SN Ia rate is determined to be an increasing function of redshift at the ~2.5 s level. Fitting the results to a model in which the volumetric SN rate is rV = Ar(t) + Br(t) <IMG SRC="eq-00006.gif" ALT="r_{V}=A\rho (t) +B\dot{\rho }(t) "/><LATEX>$r<SUB>V</SUB> = Aρ (t) + B˙{ρ }(t) $</LATEX> , where <IMG SRC="eq-00007.gif" ALT="\rho (t) "/> r (t) is the stellar mass density and r(t) <IMG SRC="eq-00008.gif" ALT="\dot{\rho }(t) "/><LATEX>$˙{ρ }(t) $</LATEX> is the star formation rate, we find <IMG SRC="eq-00009.gif" ALT="A=(2.8\pm 1.2) \times 10^{-14}\ \mathrm{SNe}\,\ M^{-1}_{\odot }\ \mathrm{yr}\,^{-1}"/> A = (2.8 +- 1.2) x 10[?]14 SNe M[?]1 yr [?]1, <IMG SRC="eq-00010.gif" ALT="B=(9.3^{+3.4}_{-3.1}) \times 10^{-4}\ \mathrm{SNe}\,\ M^{-1}_{\odot }"/> B = (9.3+ 3.4[?]3.1) x 10[?]4 SNe M[?]1.

Details

Language :
English
ISSN :
0004637X and 15384357
Volume :
682
Issue :
1
Database :
Supplemental Index
Journal :
The Astrophysical Journal
Publication Type :
Periodical
Accession number :
ejs18480702