Deep Learning for Identification and Characterization of Ca ii Absorption Lines: A Multitask Convolutional Neural Network Approach

Deep Learning for Identification and Characterization of Ca ii Absorption Lines: A Multitask Convolutional Neural Network Approach

Quasar absorption lines are a powerful tool for studying the Universe, enabling us to probe distant gas, dust, and galaxy formation and evolution. However, detecting these lines, particularly Ca ii absorption lines, is a time-consuming and laborious process. Existing deep learning methods are prone...

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Bibliographic Details
Main Authors: Yang Liu, Jie Li, Linqing Gao, Haotong Zhang, Zhenghua Xu, Yu Wang, Wenbin Lin
Format: Article
Language:English
Published: IOP Publishing 2025-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Quasar absorption line spectroscopy
Astrostatistics techniques
Detection
Astronomy data analysis
Computational astronomy
Online Access:https://doi.org/10.3847/1538-4365/ad9250
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