Astronomy and Astrophysics – Astronomy
Scientific paper
Nov 1995
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1995pasp..107.1119v&link_type=abstract
Publications of the Astronomical Society of the Pacific, v.107, p.1119
Astronomy and Astrophysics
Astronomy
40
Methods: Analytical, Catalogs
Scientific paper
This paper describes efficient algorithms that automatically take two or more catalogs of objects with instrumental coordinates and magnitudes and matches them. The challenges are that the instrumental coordinates may be only partially overlapping, at a different scale, rotated, or even inverted (flipped). The object magnitudes may be derived from different passbands so that the relative magnitudes of the objects differ. Also, the catalog may not contain all the same objects to to differences in separating close objects or to partial overlap between images. Finally, the catalog positions and magnitudes are subject to noise in the images from which they were derived. The algorithms are applicable to any automated cataloging system. However, the implementation described here is part of the Faint Object Classification and Analysis System (FOCAS). FOCAS automatically produces catalogs of objects from digital images. The algorithms described here first take a subsample of the brightest objects from the catalog, and other catalogs. Then all the objects in the catalogs are matched based on the transformed reference coordinates. (SECTION: Computing and Data Analysis)
Campusano Luis E.
Stetson Peter B.
Valdes Francisco G.
Velasquez Juan D.
No associations
LandOfFree
FOCAS Automatic Catalog Matching Algorithms does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with FOCAS Automatic Catalog Matching Algorithms, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and FOCAS Automatic Catalog Matching Algorithms will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-1182159