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A Graph-based Neural-network Surrogate Model for an Accelerating Semianalytical Model of Galaxy Formation and Evolution

  • Authors: Xuejie Li, Zhongxu Zhai, Xiaohu Yang, Andrew Benson, Yun Wang

Xuejie Li et al 2026 The Astrophysical Journal Supplement Series 286 .

  • Provider: AAS Journals

Caption: Figure 9.

Performance of the models from the 48 training realizations and their ensemble across redshift. Each pale line shows one individual model, while the blue line shows the average of the 48-model ensemble. The upper panels report the continuous scatter σ; the lower panels report the F1 score for the quenched state and the floor state in gas metal mass.

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