Huang, Zhenyang https://orcid.org/0009-0009-8188-5632
Shi, Haihao https://orcid.org/0009-0007-9418-2632
Liu, Zhiyong https://orcid.org/0000-0002-2136-1708
Funding for this research was provided by:
MOST ∣ National Key Research and Development Program of China (2021YFC2203501)
Article Title: An Interpretable AI Framework to Disentangle Self-interacting and Cold Dark Matter in Galaxy Clusters: The CKAN Approach
Journal Title: The Astronomical Journal
Article Type: paper
Copyright Information: © 2025. The Author(s). Published by the American Astronomical Society.
Publication dates
Date Received: 2024-10-21
Date Accepted: 2025-09-05
Online publication date: 2025-10-10