A Measurement of the Rate of Type Ia Supernovae at Redshift z 0.1 from the First Season of the SDSS-II Supernova Survey
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 [image]. Assuming a flat cosmology with [image], we find a volumetric SN Ia rate of [image], at a volu...
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Published in | The Astrophysical journal Vol. 682; no. 1; pp. 262 - 282 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
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Chicago, IL
IOP Publishing
20.07.2008
University of Chicago Press |
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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 [image]. Assuming a flat cosmology with [image], we find a volumetric SN Ia rate of [image], 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, [image], we obtain a value of [image], i.e., the SN Ia rate is determined to be an increasing function of redshift at the [image]2.5 capital sigma level. Fitting the results to a model in which the volumetric SN rate is [image], where [image] is the stellar mass density and [image] is the star formation rate, we find [image]. |
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AbstractList | 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 [image]. Assuming a flat cosmology with [image], we find a volumetric SN Ia rate of [image], 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, [image], we obtain a value of [image], i.e., the SN Ia rate is determined to be an increasing function of redshift at the [image]2.5 capital sigma level. Fitting the results to a model in which the volumetric SN rate is [image], where [image] is the stellar mass density and [image] is the star formation rate, we find [image]. 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 [image]. Assuming a flat cosmology with [image], we find a volumetric SN Ia rate of [image], 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, [image], we obtain a value of [image], i.e., the SN Ia rate is determined to be an increasing function of redshift at the [image]2.5 S level. Fitting the results to a model in which the volumetric SN rate is [image], where [image] is the stellar mass density and [image] is the star formation rate, we find [image]. |
Author | Kleinman, Scott J Holtzman, Jon Marriner, John DeJongh, Fritz Depoy, Darren L Konishi, Kohki Wheeler, J. Craig Dilday, Benjamin Takanashi, Naohiro Ketzeback, William Yasuda, Naoki Pan, Kaike Zheng, Chen Garnavich, Peter M Nitta, Atsuko Richmond, Michael W Marshall, Jennifer L Doi, Mamoru Riess, Adam G Snedden, Stephanie A van der Heyden, Kurt Schneider, Donald P Dembicky, Jack Harvanek, Michael Malanushenko, Viktor Cinabro, David Hogan, Craig J Nichol, Robert C Becker, Andrew Lampeitl, Hubert Bassett, Bruce McMillan, Russet J Prieto, Jose Luis Choi, Changsu Tokita, Kouichi Long, Daniel C Smith, Mathew Barentine, John McGinnis, David Kessler, Richard Frieman, Joshua A Sako, Masao Watters, Shannon Romani, Roger Crotts, Arlin Jha, Saurabh York, Donald Malanushenko, Elena Saurage, Gabrelle Im, Myunshin Krzesiński, Jurek Brewington, Howard Miknaitis, Gajus |
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Snippet | 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... |
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Title | A Measurement of the Rate of Type Ia Supernovae at Redshift z 0.1 from the First Season of the SDSS-II Supernova Survey |
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