Statistics – Computation
Scientific paper
Oct 1992
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1992apj...398..105k&link_type=abstract
Astrophysical Journal, Part 1 (ISSN 0004-637X), vol. 398, no. 1, p. 105-117.
Statistics
Computation
25
Cosmic Dust, Galactic Mass, Interstellar Matter, Astronomical Models, Computational Astrophysics, Far Infrared Radiation, Luminosity, Temperature Distribution
Scientific paper
Using the observed data of galaxies at 60, 100, 345, and 761 microns, we present a simple and systematic way to examine the uncertainties in the determination of dust mass owing to uncertainties in the dust emissivity law, imprecision in the observed data, inexact modeling of the temperature distribution, and the presence of a correlation between grain size and temperature. Our results for 12 galaxies generally confirm conclusions reached in previous works. They show that while emission by warm dust at a single temperature can account for the spectra at lambda greater than about 60 microns of a large number of galaxies in our sample, when observational uncertainties are taken into account and with the freedom of choice of emissivity law, temperature distributions with large amount of cold dust can fit the data better. To reduce the large uncertainties in the dust mass determination, observations at long submillimeter wavelengths (lambda greater than about 761 microns) are crucial in order to narrow down the possible range of emissivity law, and highly accurate S/100 microns/S(345 microns) and S(100 microns)/S(761 microns) flux density ratios are needed. With the presently available data for the 12 galaxies, our best estimates for the ratios of infrared luminosity to gas mass range from 2 to 23 and average 9.
Kwan John
Xie Shuding
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