Statistics – Applications
Scientific paper
Mar 2008
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2008aas...21116014d&link_type=abstract
American Astronomical Society, AAS Meeting #211, #160.14
Statistics
Applications
Scientific paper
There exists a long history of combining dust continuum radiation with self-consistent radiative transfer models in an attempt to invert the observations and deduce source properties. These properties commonly include total dust mass, density distribution, stellar luminosity, strength and spectrum of the ISRF, and dust properties among others. Historically, this inversion has required significant amounts of time and human interaction to guide the process toward a best fit. Unfortunately, such an approach is both inefficient, and not guaranteed to produce a best fit. We have begun an automated and unbiased process of fitting observations with radiative transfer models. We concentrate on combining both spectral and spatial data, and find that it is possible to identify regions of constraint. The approach and sample applications will be discussed.
Doty Steven D.
Jackson Andrew
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