Computer Science – Performance
Scientific paper
Dec 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aas...205.7105s&link_type=abstract
American Astronomical Society Meeting 205, #71.05; Bulletin of the American Astronomical Society, Vol. 36, p.1464
Computer Science
Performance
Scientific paper
One of the greatest barriers in supernovae cosmology is quickly and correctly identifying type Ia. We explore a photometric method for identifying and separating type Ia from other supernovae. The method adopts color-color diagrams but introduces a single host galaxy color, B-V, to standardize the supernovae colors. The addition of host B-V to supernovae B-V and V-R produces separation of type Ia from type Ib, Ic, and II. We compare the performance of this method to others using synthetic photometry for a sample of 11 supernovae with combined UV and optical spectra and a second sample of optical only spectra from 26 supernovae. The analysis compares Johnson-Cousins, Sloan filters, and filters developed in conjunction with the Large Zenith Telescope (LZT) project. For most color-color combinations and filters, the introduction of host B-V improves separation. The combination of B-V, V-R, and host galaxy B-V with the LZT filters appears to create a distinct Ia parameter space for z = 0, 0.25, 0.50, 0.75, 1.0.
Crotts Arlin
Shella K.
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