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Cataloging the Northern Sky Using a New Generation of Software Technology

Published online by Cambridge University Press:  26 July 2016

N. Weir
Affiliation:
Palomar Observatory, MS 105-24, California Institute of Technology, Pasadena, CA 91125, USA
S. Djorgovski
Affiliation:
Palomar Observatory, MS 105-24, California Institute of Technology, Pasadena, CA 91125, USA
U. Fayyad
Affiliation:
Jet Propulsion Laboratory, MS 525-3660, California Institute of Technology, Pasadena, CA 91125, U.S.A.
J.D. Smith
Affiliation:
Palomar Observatory, MS 105-24, California Institute of Technology, Pasadena, CA 91125, USA
J. Roden
Affiliation:
Jet Propulsion Laboratory, MS 525-3660, California Institute of Technology, Pasadena, CA 91125, U.S.A.

Abstract

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We have developed a system, called SKICAT, for producing, managing and analyzing catalogs from the digitized POSS-II survey. The system classifies and matches catalogs from multiple, overlapping plate scans as well as CCD calibration sequences; and it can be used for the scientific analysis of the resulting catalogs. It incorporates a number of novel machine-learning and AI tools, including the star/galaxy classification using decision tree algorithms. This results in star/galaxy separation accurate to 90% or better down to BJ ∼ 21m, i.e. ∼ 1m above the plate limit The final catalog is expected to contain at least 5 × 107 galaxies and > 2 × 109 stars. We present preliminary results on galaxy counts from a test region near the NGP. We find a mild excess over the no-evolution models, smaller than previously found by the APM group. A search for z > 4 quasars and the two-point correlation analysis of this data set are in progress.

Type
Part Five: Image Detection, Cataloguing and Classification
Copyright
Copyright © Kluwer 1994 

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