Large Scale Analysis of Archival Circumstellar Disk Spectra Using Neural Networks

Details Large Scale Analysis of Archival Circumstellar Disk Spectra Using Neural Networks Large Scale Analysis of Archival Circumstellar Disk Spectra Using Neural Networks

Jan 2009

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2009aas...21346706r&link_type=abstract

American Astronomical Society, AAS Meeting #213, #467.06; Bulletin of the American Astronomical Society, Vol. 41, p.415

Statistics

Computation

Scientific paper

We present a set of tools and techniques for performing detailed comparisons between computational models having high dimensional parameter spaces and large sets of archival data. By combining a principal component analysis on a large sample of model output with an artificial neural network, we create a powerful data visualization tool as well as a way of rapidly and robustly recovering physical parameters from a large set of experimental data. We demonstrate these analysis techniques by analyzing circumstellar disk spectra from the Spitzer Space Telescope Cores to Disks Legacy program in the context of the two layer disk model of Chiang et al. (Chiang et al. 2001, ApJ, 547, 1077) and Dullemond & Natta (Dullemond & Natta 2001, ApJ, 560, 957). The analysis reveals two populations of disk sources. The first population is characterized by the lack of a puffed up inner rim while the second population appears to contain an inner rim that casts a shadow across the disk. The first population also exhibits a trend of increasing spectral index while the second population exhibits a decreasing trend in the strength of the 20 micron silicate emission feature.
We also present a preliminary analysis of the same data set viewed in the context of the model by Whitney et al. (Whitney et al. 2003, ApJ, 598, 1079). The Whitney model suggests that the presence of a circumstellar envelope may explain the second population sources.

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