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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.07002 |
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| _version_ | 1866914081458356224 |
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| author | Wang, Yidan Han, Jing Wang, Pei Li, Di Chen, Hanting Tian, Yuchuan Gugercinoglu, Erbil Tang, Jianing Zhang, Zihan Wu, Kaichao Zhang, Xiaoli Zhu, Yuhao Cao, Jinhuang Chen, Mingtai Feng, Jiapei Huai, Zhaoyu Lin, Zitao Luan, Jieming Wang, Hongbin Zhao, Junjie Tsai, Chaowei Zhu, Weiwei Zhang, Yongkun Feng, Yi Yang, Aiyuan Zhou, Dengke Fang, Jianhua Xu, Jiaying Niu, Chenhui Niu, Jiarui Yao, Jumei Zhang, Chunfeng Zhao, Rushuang Zhang, Lei Zhang, Junshuo Lu, Wanjin Qu, Qingyue |
| author_facet | Wang, Yidan Han, Jing Wang, Pei Li, Di Chen, Hanting Tian, Yuchuan Gugercinoglu, Erbil Tang, Jianing Zhang, Zihan Wu, Kaichao Zhang, Xiaoli Zhu, Yuhao Cao, Jinhuang Chen, Mingtai Feng, Jiapei Huai, Zhaoyu Lin, Zitao Luan, Jieming Wang, Hongbin Zhao, Junjie Tsai, Chaowei Zhu, Weiwei Zhang, Yongkun Feng, Yi Yang, Aiyuan Zhou, Dengke Fang, Jianhua Xu, Jiaying Niu, Chenhui Niu, Jiarui Yao, Jumei Zhang, Chunfeng Zhao, Rushuang Zhang, Lei Zhang, Junshuo Lu, Wanjin Qu, Qingyue |
| contents | Active repeating Fast Radio Bursts (FRBs), with their large number of bursts, burst energy distribution, and their potential energy evolution, offer critical insights into the FRBs emission mechanisms. Traditional pipelines search for bursts through conducting dedispersion trials and looking for signals above certain fluence thresholds, both of which could result in missing weak and narrow-band bursts. In order to improve the completeness of the burst set, we develop an End-to-end DedispersE-agnostic Nonparametric AI model (EDEN), which directly detect bursts from dynamic spectrum and is the first detection pipeline that operates without attempting dedispersion. We apply EDEN to archival FAST L-band observations during the extreme active phase of the repeating source FRB 20121102A, resulting in the largest burst set for any FRB to date, which contains 5,927 individual bursts, tripling the original burst set. The much enhanced completeness enables a refined analysis of the temporal behavior of energy distribution, revealing that the bimodal energy distribution remains stable over time. It is rather an intrinsic feature of the emission mechanisms than a consequence of co-evolving with burst rate. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_07002 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Revealing the Temporally Stable Bimodal Energy Distribution of FRB 20121102A with a Tripled Burst Set from AI Detections Wang, Yidan Han, Jing Wang, Pei Li, Di Chen, Hanting Tian, Yuchuan Gugercinoglu, Erbil Tang, Jianing Zhang, Zihan Wu, Kaichao Zhang, Xiaoli Zhu, Yuhao Cao, Jinhuang Chen, Mingtai Feng, Jiapei Huai, Zhaoyu Lin, Zitao Luan, Jieming Wang, Hongbin Zhao, Junjie Tsai, Chaowei Zhu, Weiwei Zhang, Yongkun Feng, Yi Yang, Aiyuan Zhou, Dengke Fang, Jianhua Xu, Jiaying Niu, Chenhui Niu, Jiarui Yao, Jumei Zhang, Chunfeng Zhao, Rushuang Zhang, Lei Zhang, Junshuo Lu, Wanjin Qu, Qingyue High Energy Astrophysical Phenomena Active repeating Fast Radio Bursts (FRBs), with their large number of bursts, burst energy distribution, and their potential energy evolution, offer critical insights into the FRBs emission mechanisms. Traditional pipelines search for bursts through conducting dedispersion trials and looking for signals above certain fluence thresholds, both of which could result in missing weak and narrow-band bursts. In order to improve the completeness of the burst set, we develop an End-to-end DedispersE-agnostic Nonparametric AI model (EDEN), which directly detect bursts from dynamic spectrum and is the first detection pipeline that operates without attempting dedispersion. We apply EDEN to archival FAST L-band observations during the extreme active phase of the repeating source FRB 20121102A, resulting in the largest burst set for any FRB to date, which contains 5,927 individual bursts, tripling the original burst set. The much enhanced completeness enables a refined analysis of the temporal behavior of energy distribution, revealing that the bimodal energy distribution remains stable over time. It is rather an intrinsic feature of the emission mechanisms than a consequence of co-evolving with burst rate. |
| title | Revealing the Temporally Stable Bimodal Energy Distribution of FRB 20121102A with a Tripled Burst Set from AI Detections |
| topic | High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2510.07002 |