Statistics – Applications
Scientific paper
May 1999
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1999aas...194.0410s&link_type=abstract
American Astronomical Society, 194th AAS Meeting, #04.10; Bulletin of the American Astronomical Society, Vol. 31, p.827
Statistics
Applications
1
Scientific paper
In the past few years, photometric redshifts have proven themselves to be a robust means of estimating redshifts. In the near future, the Sloan Digital Sky Survey will compile high-quality photometric data for 108 galaxies. Photometric redshifts will provide approximate distances to this enormous set of objects. In this poster, we describe results from a preliminary study of photometric redshift calibration on data in the SDSS colors. We present 5 color photometry for 2195 galaxies drawn from the Las Campanas Redshift Survey. Data was obtained on the Curtis Schmidt telescope at CTIO during Aug 97 and Feb/Mar 98 using filters nearly identical to the SDSS system. We also present photometric redshift predictions expressed as polynomial functions of galaxy colors and magnitudes derived from this training set. Finally, applications of photometric redshifts will be considered, including lensing studies, cosmology, and determination of fundamental astrophysical quantities. Support was provided by NSF grant #9703282.
McKay Timothy A.
Sheldon Erin
Smith Anthony J.
Sowards-Emmerd David
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