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ELISA: A Bayesian X/γ-Ray Spectral Analysis Toolkit

  • Authors: Wang-Chen Xue, Sheng-Lun Xie, Chao Zheng, Shao-Lin Xiong, Xiao-Bo Li, Yong Chen, Peng Zhang, Yan-Qiu Zhang, Jia-Cong Liu, Chen-Wei Wang, Wen-Jun Tan, Yue Wang, Jin-Peng Zhang, Zheng-Hang Yu

Wang-Chen Xue et al 2026 The Astrophysical Journal Supplement Series 287 .

  • Provider: AAS Journals

Caption: Figure 2.

Convergence diagnostics for the HXMT Crab example. For each parameter, the left panel shows the post-warm-up trace for the four chains (distinguished by color), together with a dark-blue smoothed running mean as a visual guide; the middle panel shows the marginal posterior density by chain, and the right panel shows the per-draw deviance cloud. Stable traces, overlapping densities, and the absence of systematic drifts or isolated high-deviance excursions indicate good mixing and convergence.

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