Computer Science – Databases
Scientific paper
Dec 2003
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2003aas...20314201w&link_type=abstract
American Astronomical Society Meeting 203, #142.01; Bulletin of the American Astronomical Society, Vol. 36, p.587
Computer Science
Databases
Scientific paper
Currently, photometric data in the near IR is publicly available in only a few select wavelength bands from sources such as IRAS, 2Mass, and the MSX point source catalog. Efforts have been made to construct composite spectra using existing photometry by Martin Cohen (1995) and Michael P. Egan (1996). Astrometric and photometric databases in various wavelength bands are needed as a tool for improving pointing accuracy and calibration of space-based infrared observations. Methods for extrapolating and interpolating existing photometry in order to produce these databases are not as straightforward as previously expected. Spectral irradiance in the IR region deviates greatly from the standard Planck function and is dominated by absorption and emission in the stellar atmosphere. Since most stars that are bright in the IR are late K and M class stars (often variable), this problem is compounded. In this poster a rough method is put forth to extrapolate irradiances from existing 2Mass magnitudes and B-V temperatures. A more rigorous analysis as well as observational data are needed to verify the results.
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