Hostname: page-component-848d4c4894-mwx4w Total loading time: 0 Render date: 2024-06-23T09:31:56.742Z Has data issue: false hasContentIssue false

The Optid Database: Deep Optical Identifications to the IRAS Faint Source Survey

Published online by Cambridge University Press:  25 May 2016

C. Lonsdale
Affiliation:
Infrared Processing and Analysis Center/CalTech, Pasadena, USA
T. Conrow
Affiliation:
Infrared Processing and Analysis Center/CalTech, Pasadena, USA
T. Evans
Affiliation:
Infrared Processing and Analysis Center/CalTech, Pasadena, USA
L. Fullmer
Affiliation:
Infrared Processing and Analysis Center/CalTech, Pasadena, USA
M. Moshir
Affiliation:
Infrared Processing and Analysis Center/CalTech, Pasadena, USA
T. Chester
Affiliation:
Infrared Processing and Analysis Center/CalTech, Pasadena, USA
D. Yentis
Affiliation:
Naval Research Laboratory, Washington DC, USA
R. Wolstencroft
Affiliation:
Royal Observatory Edinburgh, Edinburgh, Scotland
H. MacGillivray
Affiliation:
Royal Observatory Edinburgh, Edinburgh, Scotland
D. Egret
Affiliation:
CDS, Strasbourg, France

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

We use a new, robust, method to estimate the identification probabilities of optical matches from digitized plate catalogs (COSMOS/UKST Catalog of the Southern Sky Version 2, Yentis et al. 1992; The Guide Star Catalog Version 1.1, Lasker et al. 1990; The Tycho Input Catalog, Egret et al. 1992; The APM Northern Sky Catalogue, Irwin, Maddox and McMahon 1994) to sources in the IRAS Faint Source Survey (FSS; Moshir et al. 1992), including both the Catalog (FSC) and the Reject File (FSR), utilizing a new random matching procedure with the advantages that it: (1) eliminates systematic uncertainties due to many problems, such as uncertainty in N(m); variations across the optical plate of magnitudes, plate limits or N(m); misclassification of stars and galaxies; the assumption of Gaussian error ellipses, etc. and (2) properly calibrates the identification probabilities. We find that at high SNRs and high galactic latitudes essentially all IR star-colored sources have an optical identification with Pid > 99%. At high SNRs and high galactic latitudes, ∼ 90% of all IR galaxy-colored sources have an optical identification with Pid > 90%.

Type
Part 9. Multi-Wavelength Cross Identification
Copyright
Copyright © Kluwer 1998 

References

Egret, D., Didelon, P., McLean, B.J., Russell, J.L., and Turon, C. 1992, Astron. Astrophys., 258, 217.Google Scholar
Irwin, M., Maddox, S. and McMahon, R.G. 1994. RGO Newsletter.Google Scholar
Lasker, B.M., Sturch, C.R., McLean, B.J., Russell, J.L., Jenkner, H., and Shara, M.M. 1990. Astron. J., 99, 2019.Google Scholar
Moshir, M., et al. 1992. Explanatory Supplement to the IRAS Faint Source Survey, Version 2 JPL D-10015 8/92 (Pasadena: JPL).Google Scholar
Yentis, D.J., Cruddace, R.G., Gursky, H., Stuart, B.V., Wallin, J.F., MacGillivray, H.T., and Collins, C.A. 1992. in proceedings of “Digitized Optical Sky Surveys,” ed. MacGillivray, H.T. and Thomson, E.B.; Kluwer Academic Publishers 1992, page 67.Google Scholar