Dataset of Paper "Reconstructing Soft X-ray Photon Count Rates with Missing Segments A Physics-Guided Deep Learning Approach"
收藏科学数据银行2025-12-01 更新2026-04-23 收录
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https://www.scidb.cn/detail?dataSetId=0e3e0900ab0c42668812377bbf64f4f7
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资源简介：
We proposed a deep learning-based approach to impute soft X-ray photon count rates, thereby addressing the issue of missing-data caused by soft proton contamination in photon count rate.Experiments on XMM-Newton data were designed for this method. The raw data and pre-processed data used in the experiments, as well as the result data are all included in this repository.
提供机构：
Rongcong Wang; Feiyang Ou; Dalin Li; Yingjie Zhang; Tianran Sun
创建时间：
2025-12-01
