Supernova constraints and systematic uncertainties from the first three years of the Supernova Legacy Survey

We combine high-redshift Type Ia supernovae from the first three years of the Supernova Legacy Survey (SNLS) with other supernova (SN) samples, primarily at lower redshifts, to form a high-quality joint sample of 472 SNe (123 low-z, 93 SDSS, 242 SNLS, and 14 Hubble Space Telescope). SN data alone re...

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Main Authors: Conley, A, Guy, J, Sullivan, M, Regnault, N, Astier, P, Balland, C, Basa, S, Carlberg, R, Fouchez, D, Hardin, D, Hook, I, Howell, D, Pain, R, Palanque-Delabrouille, N, Perrett, K, Pritchet, C, Rich, J, Ruhlmann-Kleider, V, Balam, D, Baumont, S, Ellis, R, Fabbro, S, Fakhouri, H, Fourmanoit, N, González-Gaitán, S
格式: Journal article
语言:English
出版: 2011
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总结:We combine high-redshift Type Ia supernovae from the first three years of the Supernova Legacy Survey (SNLS) with other supernova (SN) samples, primarily at lower redshifts, to form a high-quality joint sample of 472 SNe (123 low-z, 93 SDSS, 242 SNLS, and 14 Hubble Space Telescope). SN data alone require cosmic acceleration at >99.999% confidence, including systematic effects. For the dark energy equation of state parameter (assumed constant out to at least z = 1.4) in a flat universe, we find w = -0.91-0.20+0.16 (stat)+0.07-0.14 (sys) from SNe only, consistent with a cosmological constant. Our fits include a correction for the recently discovered relationship between hostgalaxy mass and SN absolute brightness. We pay particular attention to systematic uncertainties, characterizing them using a systematic covariance matrix that incorporates the redshift dependence of these effects, as well as the shape-luminosity and color-luminosity relationships. Unlike previous work, we include the effects of systematic terms on the empirical light-curve models. The total systematic uncertainty is dominated by calibration terms. We describe how the systematic uncertainties can be reduced with soon to be available improved nearby and intermediate-redshift samples, particularly those calibrated onto USNO/SDSS-like systems. © 2011.