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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/2511.02328 |
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| _version_ | 1866914134197534720 |
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| author | Lin, Guanhong Zhou, Dejia Zhang, Jianli Ding, Jialang Liu, Fei Ma, Xiaoyun Liang, Yuan Duan, Ruan Liu, Liaoyuan Wang, Xuanyu Yan, Xiaohui Zhan, Yingrou Chu, Yuting Qiao, Jing Wang, Wei Zhang, Jie Wang, Zerui Liu, Meng Miao, Chenchen Liu, Menquan Guo, Meng Li, Di Wang, Pei |
| author_facet | Lin, Guanhong Zhou, Dejia Zhang, Jianli Ding, Jialang Liu, Fei Ma, Xiaoyun Liang, Yuan Duan, Ruan Liu, Liaoyuan Wang, Xuanyu Yan, Xiaohui Zhan, Yingrou Chu, Yuting Qiao, Jing Wang, Wei Zhang, Jie Wang, Zerui Liu, Meng Miao, Chenchen Liu, Menquan Guo, Meng Li, Di Wang, Pei |
| contents | Fast radio bursts (FRBs) are extremely bright, millisecond duration cosmic transients of unknown origin. The growing number of wide-field and high-time-resolution radio surveys, particularly with next-generation facilities such as the SKA and MeerKAT, will dramatically increase FRB discovery rates, but also produce data volumes that overwhelm conventional search pipelines. Real-time detection thus demands software that is both algorithmically robust and computationally efficient. We present Astroflow, an end-to-end, GPU-accelerated pipeline for single-pulse detection in radio time-frequency data. Built on a unified C++/CUDA core with a Python interface, Astroflow integrates RFI excision, incoherent dedispersion, dynamic-spectrum tiling, and a YOLO-based deep detector. Through vectorized memory access, shared-memory tiling, and OpenMP parallelism, it achieves 10x faster-than-real-time processing on consumer GPUs for a typical 150 s, 2048-channel observation, while preserving high sensitivity across a wide range of pulse widths and dispersion measures. These results establish the feasibility of a fully integrated, GPU-accelerated single-pulse search stack, capable of scaling to the data volumes expected from upcoming large-scale surveys. Astroflow offers a reusable and deployable solution for real-time transient discovery, and provides a framework that can be continuously refined with new data and models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_02328 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | ASTROFLOW: A Real-Time End-to-End Pipeline for Radio Single-Pulse Searches Lin, Guanhong Zhou, Dejia Zhang, Jianli Ding, Jialang Liu, Fei Ma, Xiaoyun Liang, Yuan Duan, Ruan Liu, Liaoyuan Wang, Xuanyu Yan, Xiaohui Zhan, Yingrou Chu, Yuting Qiao, Jing Wang, Wei Zhang, Jie Wang, Zerui Liu, Meng Miao, Chenchen Liu, Menquan Guo, Meng Li, Di Wang, Pei Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena Fast radio bursts (FRBs) are extremely bright, millisecond duration cosmic transients of unknown origin. The growing number of wide-field and high-time-resolution radio surveys, particularly with next-generation facilities such as the SKA and MeerKAT, will dramatically increase FRB discovery rates, but also produce data volumes that overwhelm conventional search pipelines. Real-time detection thus demands software that is both algorithmically robust and computationally efficient. We present Astroflow, an end-to-end, GPU-accelerated pipeline for single-pulse detection in radio time-frequency data. Built on a unified C++/CUDA core with a Python interface, Astroflow integrates RFI excision, incoherent dedispersion, dynamic-spectrum tiling, and a YOLO-based deep detector. Through vectorized memory access, shared-memory tiling, and OpenMP parallelism, it achieves 10x faster-than-real-time processing on consumer GPUs for a typical 150 s, 2048-channel observation, while preserving high sensitivity across a wide range of pulse widths and dispersion measures. These results establish the feasibility of a fully integrated, GPU-accelerated single-pulse search stack, capable of scaling to the data volumes expected from upcoming large-scale surveys. Astroflow offers a reusable and deployable solution for real-time transient discovery, and provides a framework that can be continuously refined with new data and models. |
| title | ASTROFLOW: A Real-Time End-to-End Pipeline for Radio Single-Pulse Searches |
| topic | Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena |
| url | https://arxiv.org/abs/2511.02328 |