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Main Authors: Cao, J. -H., Wang, P., Li, D., Pan, Q. -H., Mao, K., Niu, C. -H., Zhang, Y. -K., Qu, Q. -Y., Lu, W. -J., Zhang, J. -S., Zhu, Y. -H., Wang, Y. -D., Chen, H. -X., Chen, X. -L., Gügercinoğlu, E., Fang, J. -H., Feng, Y., Gao, H., Huang, Y. -F., Li, J., Miao, C. -C., Tsai, C. -W., Yao, J. -M., You, S. -P., Zhao, R. -S., Liu, Q. -Z., Weng, S. -M., Yew, S. -H., Zhang, J., Zhang, L., Zhou, D. -K., Zhu, W. -W.
Format: Preprint
Published: 2025
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Online Access:https://arxiv.org/abs/2501.05875
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author Cao, J. -H.
Wang, P.
Li, D.
Pan, Q. -H.
Mao, K.
Niu, C. -H.
Zhang, Y. -K.
Qu, Q. -Y.
Lu, W. -J.
Zhang, J. -S.
Zhu, Y. -H.
Wang, Y. -D.
Chen, H. -X.
Chen, X. -L.
Gügercinoğlu, E.
Fang, J. -H.
Feng, Y.
Gao, H.
Huang, Y. -F.
Li, J.
Miao, C. -C.
Tsai, C. -W.
Yao, J. -M.
You, S. -P.
Zhao, R. -S.
Liu, Q. -Z.
Weng, S. -M.
Yew, S. -H.
Zhang, J.
Zhang, L.
Zhou, D. -K.
Zhu, W. -W.
author_facet Cao, J. -H.
Wang, P.
Li, D.
Pan, Q. -H.
Mao, K.
Niu, C. -H.
Zhang, Y. -K.
Qu, Q. -Y.
Lu, W. -J.
Zhang, J. -S.
Zhu, Y. -H.
Wang, Y. -D.
Chen, H. -X.
Chen, X. -L.
Gügercinoğlu, E.
Fang, J. -H.
Feng, Y.
Gao, H.
Huang, Y. -F.
Li, J.
Miao, C. -C.
Tsai, C. -W.
Yao, J. -M.
You, S. -P.
Zhao, R. -S.
Liu, Q. -Z.
Weng, S. -M.
Yew, S. -H.
Zhang, J.
Zhang, L.
Zhou, D. -K.
Zhu, W. -W.
contents The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of the pulse, rendering them incomplete for the relatively narrow-spectrum detection of pulses. We present a new search algorithm for narrow-band pulses to update the existing standard pipeline, Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET). The BASSET employs a time-frequency correlation analysis to identify and remove the noise involved by the zero-detection frequency band, thereby enhancing the signal-to-noise ratio (SNR) of the pulses. The BASSET algorithm was implemented on the FAST real dataset of FRB 20190520B, resulting in the discovery of additional 79 pulses through reprocessing. The new detection doubles the number of pulses compared to the previously known 75 pulses, bringing the total number of pulses to 154. In conjunction with the pulse calibration and the Markov Chain Monte Carlo (MCMC) simulated injection experiments, this work updates the quantified parameter space of the detection rate. Moreover, a parallel-accelerated version of the BASSET code was provided and evaluated through simulation. BASSET has the capacity of enhancing the detection sensitivity and the SNR of the narrow-band pulses from the existing pipeline, offering high performance and flexible applicability. BASSET not only enhances the completeness of the low-energy narrow-band pulse detection in a more robust mode, but also has the potential to further elucidate the FRB luminosity function at a wider energy scale.
format Preprint
id arxiv_https___arxiv_org_abs_2501_05875
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle BASSET: Bandpass-Adaptive Single-pulse SEarch Toolkit -- Optimized Sub-Band Pulse Search Strategies for Faint Narrow-Band FRBs
Cao, J. -H.
Wang, P.
Li, D.
Pan, Q. -H.
Mao, K.
Niu, C. -H.
Zhang, Y. -K.
Qu, Q. -Y.
Lu, W. -J.
Zhang, J. -S.
Zhu, Y. -H.
Wang, Y. -D.
Chen, H. -X.
Chen, X. -L.
Gügercinoğlu, E.
Fang, J. -H.
Feng, Y.
Gao, H.
Huang, Y. -F.
Li, J.
Miao, C. -C.
Tsai, C. -W.
Yao, J. -M.
You, S. -P.
Zhao, R. -S.
Liu, Q. -Z.
Weng, S. -M.
Yew, S. -H.
Zhang, J.
Zhang, L.
Zhou, D. -K.
Zhu, W. -W.
Instrumentation and Methods for Astrophysics
The existing single-pulse search algorithms for fast radio bursts (FRBs) do not adequately consider the frequency bandpass pattern of the pulse, rendering them incomplete for the relatively narrow-spectrum detection of pulses. We present a new search algorithm for narrow-band pulses to update the existing standard pipeline, Bandpass-Adaptive Single-pulse SEarch Toolkit (BASSET). The BASSET employs a time-frequency correlation analysis to identify and remove the noise involved by the zero-detection frequency band, thereby enhancing the signal-to-noise ratio (SNR) of the pulses. The BASSET algorithm was implemented on the FAST real dataset of FRB 20190520B, resulting in the discovery of additional 79 pulses through reprocessing. The new detection doubles the number of pulses compared to the previously known 75 pulses, bringing the total number of pulses to 154. In conjunction with the pulse calibration and the Markov Chain Monte Carlo (MCMC) simulated injection experiments, this work updates the quantified parameter space of the detection rate. Moreover, a parallel-accelerated version of the BASSET code was provided and evaluated through simulation. BASSET has the capacity of enhancing the detection sensitivity and the SNR of the narrow-band pulses from the existing pipeline, offering high performance and flexible applicability. BASSET not only enhances the completeness of the low-energy narrow-band pulse detection in a more robust mode, but also has the potential to further elucidate the FRB luminosity function at a wider energy scale.
title BASSET: Bandpass-Adaptive Single-pulse SEarch Toolkit -- Optimized Sub-Band Pulse Search Strategies for Faint Narrow-Band FRBs
topic Instrumentation and Methods for Astrophysics
url https://arxiv.org/abs/2501.05875