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FRTSearch: An End-to-End Detection and Characterization Tool for Fast Radio Transients

Authors: Zhang, Bin;

FRTSearch: An End-to-End Detection and Characterization Tool for Fast Radio Transients

Abstract

FRTSearch is an end-to-end detection and characterization tool for fast radio transients (FRTs) including Pulsars, Rotating Radio Transients (RRATs), and Fast Radio Bursts (FRBs) in radio astronomical observation data. This repository contains Python source code (.py) for the FRTSearch pipeline, including the Mask R-CNN-based detector and the IMPIC (Iterative Mask-based Parameter Inference and Calibration) algorithm. It supports PSRFITS (.fits) and Sigproc Filterbank (.fil) input formats with 1/2/4/8/32-bit data. Dependencies: Python 3.10+, PyTorch 2.0+, MMDetection 3.x, PRESTO, and additional packages listed in requirements.txt. Model weights are available at https://huggingface.co/waterfall109/FRTSearch. This software is associated with the paper "FRTSearch: Unified Detection and Parameter Inference of Fast Radio Transients using Instance Segmentation" (Zhang et al. 2026). The training dataset CRAFTS-FRT is available at https://doi.org/10.57760/sciencedb.Fastro.00038.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average