Astronomy and Astrophysics – Astronomy
Scientific paper
Aug 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005dps....37.1612k&link_type=abstract
American Astronomical Society, DPS meeting #37, #16.12; Bulletin of the American Astronomical Society, Vol. 37, p.647
Astronomy and Astrophysics
Astronomy
Scientific paper
We present a model for cometary coma structures that utilizes grain mineralogy as a basis for determining the dust grain "β ," the ratio of solar radiation pressure to gravity, a parameter inversely proportional to particle size. Generally in models of comae structures, the β distribution, dn/dβ , is an input parameter constrained by fitting coma morphologies to observations. Here, dn/dβ refers to particles released by the nucleus. In this model, we additionally constrain β by fitting the thermal spectral energy distribution with a size distribution of porous siliceous mineral grains and amorphous carbon grains, modeled for an observed aperture on the sky. Both thermal emission and dynamic models have worthy assumptions, but the combination of the two independent methods narrows the allowed parameter space for a more robust constraint on the grain size distribution. We present our efforts to combine a mid-infrared model and dynamic model of comet 2P/Encke as observed by the Spitzer Space Telescope in June 2004.
This work partially supported by the National Science Foundation grant AST-037446.
Gehrz Robert D.
Haker D. E.
Kelley Michael S.
Reach William T.
Wooden Diane H.
No associations
LandOfFree
Constraining Cometary Particle Size Distributions by Combining Dynamic and Thermal Emission Models 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 Constraining Cometary Particle Size Distributions by Combining Dynamic and Thermal Emission Models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Constraining Cometary Particle Size Distributions by Combining Dynamic and Thermal Emission Models will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-951028