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Optimization of deep learning method on track reconstruction for X-ray polarimetry with gas pixel detectors.

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Title: Optimization of deep learning method on track reconstruction for X-ray polarimetry with gas pixel detectors.
Authors: Jiao, Yang1,2,3 (AUTHOR), Jiang, Weichun1,2 (AUTHOR) jiangwc@ihep.ac.cn, Jiang, Jiechen1,2 (AUTHOR), He, Huilin1,2,3 (AUTHOR), Feng, Hua1,2 (AUTHOR), Liu, Xiaohua1,2 (AUTHOR), Li, Hong1,2 (AUTHOR), Song, Liming1,2,3 (AUTHOR), Du, Yuanyuan1,2 (AUTHOR), Sun, Liang1,2 (AUTHOR), Liu, Xiaojing1,2 (AUTHOR), Wu, Qiong1,2 (AUTHOR), Yang, Jiawei1,2 (AUTHOR), Song, Zipeng1,2,3 (AUTHOR), Chen, Hangyu1,2,3 (AUTHOR), Zhao, Yongqi4 (AUTHOR), Xu, Yupeng1,2,3 (AUTHOR), Liu, Congzhan1,2 (AUTHOR), Zhang, Shuangnan1,2,3 (AUTHOR)
Source: Experimental Astronomy. Jun2025, Vol. 59 Issue 3, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Optimization of deep learning method on track reconstruction for X-ray polarimetry with gas pixel detectors.
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  Data: <searchLink fieldCode="JN" term="%22Experimental+Astronomy%22">Experimental Astronomy</searchLink>. Jun2025, Vol. 59 Issue 3, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185709786
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        Value: 10.1007/s10686-025-10003-1
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        Text: English
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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