Combining Supernova Datasets for Cosmological Measurements

Mathematics – Logic

Scientific paper

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Scientific paper

We present a new approach to analyzing compilations of Type Ia supernovae (SNe Ia), employing new analysis procedures to work with these heterogeneous datasets. A “union” compilation comprising currently available datasets from ground and space-based observations is formed. In addition to previously published SNe, data from a set of low-redshift nearby-Hubble-flow SNe Ia is included. A single, consistent analysis procedure is used for the various SN Ia subsamples and a new procedure is presented for consistently rejecting outliers. The very-high redshift data collected with the Hubble Space Telescope NICMOS instrument have all been reanalyzed to correct for the recently found non-linearity. The full set of refitted lightcurves from this union compilation is used for cosmological parameter estimation, following a blind analysis protocol. Finally, we discuss a new method to include systematic errors in the constraints obtained from the combination of supernova data with the latest WMAP and BAO data.

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