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Autonomous Gaussian Decomposition
Citation
Lindner, RR and Vera-Ciro, C and Murray, CE and Stanimirovic, S and Babler, B and Heiles, C and Hennebelle, P and Goss, WM and Dickey, J, Autonomous Gaussian Decomposition, The Astrophysical Journal, 149, (4) Article 138. ISSN 0004-637X (2015) [Refereed Article]
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Copyright Statement
Copyright 2015 The American Astronomical Society
DOI: doi:10.1088/0004-6256/149/4/138
Abstract
We present a new algorithm, named Autonomous Gaussian Decomposition (AGD), for automatically
decomposing spectra into Gaussian components. AGD uses derivative spectroscopy and machine learning to
provide optimized guesses for the number of Gaussian components in the data, and also their locations, widths, and
amplitudes. We test AGD and find that it produces results comparable to human-derived solutions on 21 cm
absorption spectra from the 21 cm SPectral line Observations of Neutral Gas with the EVLA (21-SPONGE)
survey. We use AGD with Monte Carlo methods to derive the H ɪ line completeness as a function of peak optical
depth and velocity width for the 21-SPONGE data, and also show that the results of AGD are stable against
varying observational noise intensity. The autonomy and computational efficiency of the method over traditional
manual Gaussian fits allow for truly unbiased comparisons between observations and simulations, and for the
ability to scale up and interpret the very large data volumes from the upcoming Square Kilometer Array and
pathfinder telescopes.
Item Details
Item Type: | Refereed Article |
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Keywords: | Gaussian fitting, galactic structure, radio spectroscopy, ISM: atoms, ISM: clouds, ISM: lines and bands, line: identification, methods: data analysis, techniques: spectroscopic |
Research Division: | Physical Sciences |
Research Group: | Astronomical sciences |
Research Field: | Galactic astronomy |
Objective Division: | Expanding Knowledge |
Objective Group: | Expanding knowledge |
Objective Field: | Expanding knowledge in the physical sciences |
UTAS Author: | Dickey, J (Professor John Dickey) |
ID Code: | 102296 |
Year Published: | 2015 |
Funding Support: | Australian Research Council (DP110104101) |
Web of Science® Times Cited: | 40 |
Deposited By: | Mathematics and Physics |
Deposited On: | 2015-08-11 |
Last Modified: | 2017-11-06 |
Downloads: | 322 View Download Statistics |
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