2024MNRAS.531..387G -
Mon. Not. R. Astron. Soc., 531, 387-402 (2024/June-2)
Detecting rare neutral atomic-carbon absorbers with a deep neural network.
GE J., WILLIS K., CHAO K., JAN A., ZHAO Y. and FANG H.
Abstract (from CDS):
C I absorbers play an important role as indicators for exploring the presence of cold gas in the interstellar medium of galaxies. However, the current data base of C I absorbers is very limited due to their weak absorption feature and rarity. Here, we report results from a search of C I λλ1560, 1656 absorption lines using Mg II absorbers as signposts with modified deep learning algorithms, which provides a very quick way to search for weak C I absorber candidates. A total of 107 C I absorbers were detected, which nearly doubles the size of previously known samples. In addition, we found 17 C I absorbers to be associated with 2175 Å dust absorbers (2DAs), i.e. about 16 per cent C I absorbers are associated with 2DAs. Comparing the average dust depletion patterns of C I absorbers with those of damped Lyman α absorbers (DLAs), Mg II absorbers, Ca II absorbers, and 2175 Å dust absorbers (2DAs) shows that C I absorbers generally have environments with more dust than DLAs, Mg II, and Ca II absorbers, but similar to dust in 2DAs. Similarity between the dust depletion pattern of C I absorbers to that of the warm disc in the Milky Way indicates that C I absorption clouds are possibly associated with disc components in distant galaxies. Therefore, C I absorbers are confirmed to be excellent probes to trace cold gas and dust in the Universe.
Abstract Copyright:
© 2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.
Journal keyword(s):
methods: data analysis - galaxies: ISM - quasars: absorption lines
Status at CDS
:
Large table(s) will be appraised for possible ingestion in VizieR.
Simbad objects:
27
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