|
 |
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. |
|
 |
|
|