Astronomy and Astrophysics – Astronomy
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21943001h&link_type=abstract
American Astronomical Society, AAS Meeting #219, #430.01
Astronomy and Astrophysics
Astronomy
Scientific paper
A new method of visualizing large data cubes has been implemented. Visualizing the cube in "correlation space," where spatial distribution is exploited for statistical connection between data channels, is an effective tool for screening co-spatial features and dumping feature-less pixels out of the data set. The technique was showcased on the Expanded Very Large Array Demonstration Science data of Orion KL in the 23.6 GHz to 26.6 GHz spectral range. Along a particular line of sight, both thermalized and non-thermalized methanol is present in Orion KL, and the spectra can be separately analyzed. The thermalized methanol, unseen in the methanol map (and unapparent in the 1D spectrum), belongs to the hot core and is measured to have a rotational temperature of 118K and a gas density above 107 cm-3. The non-thermal methanol emission profiles vary throughout the cloud, and each spectrum can be reproduced using a steady-state, LVG model adapted for integration into this study. The spectrum is then used as a densitometer and thermometer for each pixel in order to construct morphology. The implications of the results include new and powerful solutions to problems in large data analysis. They also challenge current practice. Conventional Gaussian fitting to resolve sources, already implemented in Orion hot core studies is unsuitable without a correlation analysis of all channels that fall in the emission/absorption features. This is also the first study to model broadband methanol masing in a star forming region as a means to visualize maps of temperature and density morphology. The techniques used to obtain the results utilize modest computing resources and can be automated for use by a diverse group of users.
Analysis Video
Brogan Crystal
Harris Brent J.
Image Virginia
Lehmann Kevin K.
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