CNN-Based Inference of Gaseous Halo Properties from Synthetic X-ray and 21-cm HI Observations
astro-ph.GA
Submitted: 2026-09-14
Updated: 2026-09-14
Comments: 16 pages, 7 figures, submitted to the Open Journal of Astrophysics
Code: https://github.com/IStoleTheCookieJar/DLHD-CNN
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Optuna: A Next-generation Hyperparameter Optimization Framework
- PyTorch: An Imperative Style, High-Performance Deep Learning Library
- Science with the X-ray Imaging and Spectroscopy Mission (XRISM)
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