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Paper: A General Spectral Analysis Framework Astro-Neo for Exploring Physical Properties of the Circumgalactic Medium of Galaxies
Volume: 538, ADASS XXXII
Page: 389
Authors: Min Long; Miu-Lun Lau; Shuinai Zhang; Li Ji; Jian Xiao
DOI: 10.26624/BDEW6669
Abstract: The paradigm of spectral analysis by highly-trained personnel has been severely challenged since new generations of instruments can create massive data in a short time. We address this problem by developing an open-source spectral analysis framework Astro-Neo based on a genetic algorithm (GA) to analyze astronomical spectra accurately and automatically with minimal human intervention. We apply it to the exploration of the physical conditions within the gaseous halos of galaxies to improve our understanding of the circumgalactic medium (CGM) of galaxies using archival spectra of background sources. Fitting using the Astro-Neo can automatically search for a set of combined optimal line profiles (e.g., Gaussian) and a set of combined APEC and ACX models and ultimately provide the optimal fitting parameters. Our results show that both manual and GA fittings lead to good results but the GA method demonstrates a distinct speed advantage when fitting a large amount of data.
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