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Cosmology Seminar: Brad Holden (UC Santa Cruz)
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KIPAC Special Seminar: Dovi Poznanski (Tel Aviv)
| What | seminar |
|---|---|
| When |
19 October 06 from 10:00 am to 11:00 am |
| Where | Varian 2nd Floor Conf. Room |
| Contact Name | Saurabh Jha |
| Contact Email | saurabh@slac.stanford.edu |
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SN progenitors and rates from low-cost surveys with no spectroscopy
Dovi Poznanski,
Tel Aviv University
Ongoing supernova (SN) surveys find hundreds of candidates that require confirmation for their use as cosmological tools, either as standard candles, or as tracers of galaxy formation and metal enrichement. Traditional classification based on followup spectroscopy of all candidates is virtually impossible for these large samples. I will present an automatic Bayesian classifying algorithm, that relies solely on single-epoch multiband photometry and host-galaxy (photometric) redshift information, to sort SN candidates. I will demonstrate the performance of our method on published SN samples from the SNLS and GOODS projects. I use the algorithm to classify a new sample of about 50 high-z SNe we have found in the Subaru Deep Field. We observed the field for two nights with the Subaru telescope, and reached a depth, effective area, and number of SNe comparable to those of the GOODS SN survey. Finally, I will describe a search for intermediate-redshift SNe in the SDSS archive.
KIPAC Special Seminar: Thursday 10/19 Varian 2nd Floor
Ongoing supernova (SN) surveys find hundreds of candidates that require confirmation for their use as cosmological tools, either as standard candles, or as tracers of galaxy formation and metal enrichement. Traditional classification based on followup spectroscopy of all candidates is virtually impossible for these large samples. I will present an automatic Bayesian classifying algorithm, that relies solely on single-epoch multiband photometry and host-galaxy (photometric) redshift information, to sort SN candidates. I will demonstrate the performance of our method on published SN samples from the SNLS and GOODS projects. I use the algorithm to classify a new sample of about 50 high-z SNe we have found in the Subaru Deep Field. We observed the field for two nights with the Subaru telescope, and reached a depth, effective area, and number of SNe comparable to those of the GOODS SN survey. Finally, I will describe a search for intermediate-redshift SNe in the SDSS archive.
KIPAC Special Seminar: Thursday 10/19 Varian 2nd Floor
MASS: Kyle Watters