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# FRTSearch: Fast Radio Transient Search
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[](https://
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**FRTSearch** is an end-to-end deep learning framework for detecting and characterizing Fast Radio Transients (FRTs), including: **Pulsars**, **Rotating Radio Transients (RRATs)** and **Fast Radio Bursts (FRBs)**.
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## CITATION
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```bibtex
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@article{
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year={2026}
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}
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```
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# FRTSearch: Fast Radio Transient Search
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[](https://iopscience.iop.org/article/10.3847/1538-4365/ae5e76) [](https://doi.org/10.57760/sciencedb.Fastro.00038) [](https://github.com/BinZhang109/FRTSearch)
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**FRTSearch** is an end-to-end deep learning framework for detecting and characterizing Fast Radio Transients (FRTs), including: **Pulsars**, **Rotating Radio Transients (RRATs)** and **Fast Radio Bursts (FRBs)**.
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## CITATION
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```bibtex
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@article{Zhang_2026,
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doi = {10.3847/1538-4365/ae5e76},
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url = {https://doi.org/10.3847/1538-4365/ae5e76},
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year = {2026},
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month = {may},
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publisher = {The American Astronomical Society},
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volume = {284},
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number = {2},
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pages = {58},
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author = {Zhang, Bin and Wang, Yabiao and Xie, Xiaoyao and You, Shanping and Yu, Xuhong and Li, Qiuhua and Li, Hongwei and Du, Shaowen and Miao, Chenchen and Zhou, Dengke and Fang, Jianhua and Wu, Jiafu and Wang, Pei and Li, Di},
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title = {FRTSearch: Unified Detection and Parameter Inference of Fast Radio Transients Using Instance Segmentation},
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journal = {The Astrophysical Journal Supplement Series},
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}
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```
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