Improved Cosmological Constraints from New, Old, and Combined Supernova Data Sets

We present a new compilation of Type Ia supernovae (SNe Ia), a new dataset of low-redshift nearby-Hubble-flow SNe and new analysis procedures to work with these heterogeneous compilations. This “Union ” compilation of 414 SN Ia, which reduces to 307 SNe after selection cuts, includes the recent large samples of SNe Ia from the Supernova Legacy Survey and ESSENCE Survey, the older datasets, as well as the recently extended dataset of distant supernovae observed with HST. A single, consistent and blind analysis procedure is used for all the various SN Ia subsamples, and a new procedure is implemented that consistently weights the heterogeneous data sets and rejects outliers. We present the latest results from…

• UD
  U.S. Department of Energy

  Awards: -AC02-05CH11231, 05CH11231, AC02-05CH11231, DE-AC02, DE-FG02-, DE-AC02-05CH11231, DE-FG02, DE-AC02-
• YU
  Yale University

  Award: DE-AC02-05CH11231
• UO
  University of Arizona
• DF
  Deutsche Forschungsgemeinschaft

  Award: DE-AC02-05CH11231
• OO
  Office of Science

  Awards: AC02-05CH11231, -AC02-05CH11231, DE-AC02
• SA
  Science and Technology Facilities Council

  Award: ST/F00723X/1
• FP
  Fundação para a Ciência e a Tecnologia

  Award: DE-AC02-05CH11231
• NP
  Nuclear Physics

  Award: DE-AC02-05CH11231