TransientX: A high-performance single-pulse search package

被引:6
作者
Men, Yunpeng [1 ]
Barr, Ewan [1 ]
机构
[1] Max Planck Inst Radioastron, Hugel 69, D-53121 Bonn, Germany
关键词
methods: data analysis; pulsars: general; GALACTIC PLANE SURVEY; RADIO TRANSIENT; REAL-TIME; BURSTS; TELESCOPES; ALGORITHM;
D O I
10.1051/0004-6361/202348247
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Context. Radio interferometers composed of a large array of small antennas possess large fields of view, coupled with high sensitivities. For example, the Karoo Array Telescope (MeerKAT) achieves a gain of up to 2.8 KJy(-1) across its >1 deg(2) field of view. This capability significantly enhances the survey speed for pulsars and fast transients. It also introduces challenges related to the high data rate, which reaches a few Tb s(-1) for MeerKAT, and it requires substantial computing power. Aims. To handle the high data rate of surveys, we have developed a high-performance single-pulse search software called "TransientX". This software integrates multiple processes into one pipeline, which includes radio-frequency interference mitigation, dedispersion, matched filtering, clustering, and candidate plotting. Methods. In TRANSIENTX, we developed an efficient CPU-based dedispersion implementation using the sub-band dedispersion algorithm. Additionally, TRANSIENTX employs the density-based spatial clustering of applications with noise (DBSCAN) algorithm to eliminate duplicate candidates, using an efficient implementation based on the kd-tree data structure. We also calculate the decrease of signal-to-noise ratio (s/N) resulting from dispersion measure, boxcar width, spectral index, and pulse-shape mismatches. Remarkably, we find that the decrease of S/N resulting from the mismatch between a boxcar-shaped template and a Gaussian-shaped pulse with scattering remains relatively small, at approximately 9%, even when the scattering timescale is ten times that of the pulse width. Additionally, the decrease in the S/N resulting from the spectral index mismatch becomes significant with multi-octave receivers. Results. We have benchmarked the individual processes, including dedispersion, matched filtering, and clustering. Our dedispersion implementation can be executed in real time using a single CPU core on data with 4096 dispersion measure trials, which consist of 4096 channels and have a time resolution of 153 mu s. Overall, TRANSIENTX offers the capability for efficient CPU-only real-time single-pulse searching.
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页数:9
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