Improving Cosmological Constraints with New and Combined Supernova Datasets

Details Improving Cosmological Constraints with New and Combined Supernova Datasets Improving Cosmological Constraints with New and Combined Supernova Datasets

Dec 2007

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21110510k&link_type=abstract

American Astronomical Society, AAS Meeting #211, #105.10; Bulletin of the American Astronomical Society, Vol. 39, p.930

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We present a new dataset of low-redshift nearby-Hubble-flow Type Ia supernova (SN Ia), a new compilation of the world's SN Ia datasets and new analysis procedures to work with these heterogeneous compilations. This ``Union'' compilation of nearly 400 SN Ia includes the recent large samples of SNe Ia from the Supernova Legacy Survey and the 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 weights the heterogeneous data sets and rejects outliers. We test for tension between the datasets and incorporate several classes of systematic errors through a novel schema. We present the latest results from this Union compilation and its combination with other cosmological measurements (CMB and BAO). With the addition of our new nearby Hubble-flow SNe Ia, these resulting cosmological constraints are currently the tightest available.
This work has been supported by the Office of Science, U.S. Department of Energy, through contract DE-AC02-05CH11231.

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