TY - JOUR
T1 - First-year sloan digital sky survey-ii supernova results
T2 - Hubble diagram and cosmological parameters
AU - Kessler, Richard
AU - Becker, Andrew C.
AU - Cinabro, David
AU - Vanderplas, Jake
AU - Frieman, Joshua A.
AU - Marriner, John
AU - Davis, Tamara M.
AU - Dilday, Benjamin
AU - Holtzman, Jon
AU - Jha, Saurabh W.
AU - Lampeitl, Hubert
AU - Sako, Masao
AU - Smith, Mathew
AU - Zheng, Chen
AU - Nichol, Robert C.
AU - Bassett, Bruce
AU - Bender, Ralf
AU - Depoy, Darren L.
AU - Doi, Mamoru
AU - Elson, Ed
AU - Filippenko, Alexei V.
AU - Foley, Ryan J.
AU - Garnavich, Peter M.
AU - Hopp, Ulrich
AU - Ihara, Yutaka
AU - Ketzeback, William
AU - Kollatschny, W.
AU - Konishi, Kohki
AU - Marshall, Jennifer L.
AU - McMillan, Russet J.
AU - Miknaitis, Gajus
AU - Morokuma, Tomoki
AU - Mörtsell, Edvard
AU - Pan, Kaike
AU - Prieto, Jose Luis
AU - Richmond, Michael W.
AU - Riess, Adam G.
AU - Romani, Roger
AU - Schneider, Donald P.
AU - Sollerman, Jesper
AU - Takanashi, Naohiro
AU - Tokita, Kouichi
AU - Van Der Heyden, Kurt
AU - Wheeler, J. C.
AU - Yasuda, Naoki
AU - York, Donald
PY - 2009
Y1 - 2009
N2 - We present measurements of the Hubble diagram for 103 Type Ia supernovae (SNe) with redshifts 0.04 < z < 0.42, discovered during the first season (Fall 2005) of the Sloan Digital Sky Survey-II (SDSS-II) Supernova Survey. These data fill in the redshift "desert" between low- and high-redshift SN Ia surveys. Within the framework of the MLCS2K2 light-curve fitting method, we use the SDSS-II SN sample to infer the mean reddening parameter for host galaxies, RV = 2.18 0.14stat 0.48syst, and find that the intrinsic distribution of host-galaxy extinction is well fitted by an exponential function, P(AV ) = exp(-AV /τV), with τV = 0.334 0.088 mag. We combine the SDSS-II measurements with new distance estimates for published SN data from the ESSENCE survey, the Supernova Legacy Survey (SNLS), the Hubble Space Telescope (HST), and a compilation of Nearby SN Ia measurements. A new feature in our analysis is the use of detailed Monte Carlo simulations of all surveys to account for selection biases, including those from spectroscopic targeting. Combining the SN Hubble diagram with measurements of baryon acoustic oscillations from the SDSS Luminous Red Galaxy sample and with cosmic microwave background temperature anisotropy measurements from the Wilkinson Microwave Anisotropy Probe, we estimate the cosmological parameters w and ΩM, assuming a spatially flat cosmological model (FwCDM) with constant dark energy equation of state parameter, w. We also consider constraints upon ΩM and ΩΛ for a cosmological constant model (ΛCDM) with w = -1 and non-zero spatial curvature. For the FwCDM model and the combined sample of 288 SNe Ia, we find w = -0.76 0.07(stat) 0.11(syst), ΩM = 0.307 0.019(stat) 0.023(syst) using MLCS2K2 and w = -0.96 0.06(stat) 0.12(syst), ΩM = 0.265 0.016(stat) 0.025(syst) using the SALT-II fitter. We trace the discrepancy between these results to a difference in the rest-frame UV model combined with a different luminosity correction from color variations; these differences mostly affect the distance estimates for the SNLS and HST SNe. We present detailed discussions of systematic errors for both light-curve methods and find that they both show data-model discrepancies in rest-frame U band. For the SALT-II approach, we also see strong evidence for redshift-dependence of the color-luminosity parameter (β). Restricting the analysis to the 136 SNe Ia in the Nearby+SDSS-II samples, we find much better agreement between the two analysis methods but with larger uncertainties: w = -0.92 0.13(stat)+0.10 -0.33(syst) for MLCS2K2 and w = -0.92 0.11(stat)+0.07 -0.15 (syst) for SALT-II.
AB - We present measurements of the Hubble diagram for 103 Type Ia supernovae (SNe) with redshifts 0.04 < z < 0.42, discovered during the first season (Fall 2005) of the Sloan Digital Sky Survey-II (SDSS-II) Supernova Survey. These data fill in the redshift "desert" between low- and high-redshift SN Ia surveys. Within the framework of the MLCS2K2 light-curve fitting method, we use the SDSS-II SN sample to infer the mean reddening parameter for host galaxies, RV = 2.18 0.14stat 0.48syst, and find that the intrinsic distribution of host-galaxy extinction is well fitted by an exponential function, P(AV ) = exp(-AV /τV), with τV = 0.334 0.088 mag. We combine the SDSS-II measurements with new distance estimates for published SN data from the ESSENCE survey, the Supernova Legacy Survey (SNLS), the Hubble Space Telescope (HST), and a compilation of Nearby SN Ia measurements. A new feature in our analysis is the use of detailed Monte Carlo simulations of all surveys to account for selection biases, including those from spectroscopic targeting. Combining the SN Hubble diagram with measurements of baryon acoustic oscillations from the SDSS Luminous Red Galaxy sample and with cosmic microwave background temperature anisotropy measurements from the Wilkinson Microwave Anisotropy Probe, we estimate the cosmological parameters w and ΩM, assuming a spatially flat cosmological model (FwCDM) with constant dark energy equation of state parameter, w. We also consider constraints upon ΩM and ΩΛ for a cosmological constant model (ΛCDM) with w = -1 and non-zero spatial curvature. For the FwCDM model and the combined sample of 288 SNe Ia, we find w = -0.76 0.07(stat) 0.11(syst), ΩM = 0.307 0.019(stat) 0.023(syst) using MLCS2K2 and w = -0.96 0.06(stat) 0.12(syst), ΩM = 0.265 0.016(stat) 0.025(syst) using the SALT-II fitter. We trace the discrepancy between these results to a difference in the rest-frame UV model combined with a different luminosity correction from color variations; these differences mostly affect the distance estimates for the SNLS and HST SNe. We present detailed discussions of systematic errors for both light-curve methods and find that they both show data-model discrepancies in rest-frame U band. For the SALT-II approach, we also see strong evidence for redshift-dependence of the color-luminosity parameter (β). Restricting the analysis to the 136 SNe Ia in the Nearby+SDSS-II samples, we find much better agreement between the two analysis methods but with larger uncertainties: w = -0.92 0.13(stat)+0.10 -0.33(syst) for MLCS2K2 and w = -0.92 0.11(stat)+0.07 -0.15 (syst) for SALT-II.
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U2 - 10.1088/0067-0049/185/1/32
DO - 10.1088/0067-0049/185/1/32
M3 - Article
AN - SCOPUS:72149119717
SN - 0067-0049
VL - 185
SP - 32
EP - 84
JO - Astrophysical Journal, Supplement Series
JF - Astrophysical Journal, Supplement Series
IS - 1
ER -