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An Interpretable AI Framework to Disentangle Self-interacting and Cold Dark Matter in Galaxy Clusters: The CKAN Approach

  • Authors: Zhenyang Huang, Haihao Shi, Zhiyong Liu, Na Wang

Zhenyang Huang et al 2025 The Astronomical Journal 170 .

  • Provider: AAS Journals

Caption: Figure 8.

Robustness of CKAN under JWST and Euclid noise. The network is trained on CDM-low AGN, CDM fiducial AGN, and two SIDM models (σDM/m = 0.1, 1 cm2 g−1), and then tested on the unseen CDM-hi AGN, all these with JWST and Euclid noise. A consistent sample size of n = 100 is used for all tests.

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