The on-going Sloan Digital Sky Survey (SDSS) will obtain accurate
five-band photometry for ~10^6 color-selected quasar-candidates, but only
the brightest ~10^5 of these will have spectra. The ability to deduce the
redshifts of quasars from their photometric colors alone would thus
increase the number of scientifically useful SDSS quasars by an order of
magnitude. My talk will describe the algorithm that I developed at Penn
State to obtain photometric redshifts of quasars from SDSS photometry.
Due to the high photometric accuracy of the survey, it is possible for the
first time to reliably obtain photometric redshifts for z<2.5 quasars.
In tests using existing SDSS data, redshifts accurate to within 0.3 are
obtained for 85% of the quasars (a large improvement over previous
attempts), and most of the remaining 15% can be identified as difficult
cases by their colors. In addition, my photometric redshift algorithm
provides a way to identify stars and galaxies that have been mistakenly
selected as quasar-candidates due to their quasar-like colors.
Thursday, April 3rd at 4:00 p.m.
**SPECIAL DATE & LOCATION**
Seminar is scheduled to be held in F235 of the Tech Building
Refreshments will be served at 3:30
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