Search

Image Details

View Article Bookmark & Share

Choose export citation format:

Export Citation
Large resolution
Hi-Resolution Export to PDF

LUNCH: A Lightweight Unified Deep Learning Framework for General Transients Classification in High-energy Time-domain Astronomy

  • Authors: Peng Zhang, Chen-Wei Wang, Zheng-Hang Yu, Ren-Zhou Gui, Shao-Lin Xiong, Xiao-Bo Li, Li-Ming Song, Shi-Jie Zheng, Xiao-Yun Zhao, Yue Huang, Wang-Chen Xue, Ya-Qi Wang, Long-Bo Han, Jia-Cong Liu, Chao Zheng, Wen-Jun Tan, Sheng-Lun Xie, Ce Cai, Yan-Qiu Zhang, Hao-Xuan Guo, Yue Wang, Yang-Zhao Ren

Peng Zhang et al 2026 The Astrophysical Journal Supplement Series 286 .

  • Provider: AAS Journals

Caption: Figure 3.

Confusion matrices evaluated on the held-out test set for the best-performing long-scale model LNaI-128C,BGO-128C (left), short-scale model SNaI-128C (middle), and dual-scale fused model FNaI-128C,BGO-128C (right). Rows correspond to the true trigger classes and columns to the model-predicted classes. Each cell reports the number of events, with the corresponding fraction relative to the true class shown in parentheses. The overall classification accuracy for each model is indicated in the upper-right corner of each panel.

Other Images in This Article
Image in this article
Image in this article
Image in this article
Image in this article
Image in this article
Image in this article
Copyright and Terms & Conditions

Additional terms of reuse