Back-End System of BURSTT

TL;DR

The paper details the design, implementation, and validation of BURSTT's back-end system, enabling real-time FRB detection and localization with high efficiency using multi-stage processing on specialized hardware.

Contribution

It introduces an efficient multi-stage processing architecture combining FPGA and CPU resources for real-time FRB detection and localization.

Findings

Achieved real-time beamforming and pulse search over a 60° x 120° field of view.

Validated system performance with bright radio sources and pulsar detections.

Demonstrated high fidelity and efficiency of the signal processing pipeline.

Abstract

The Bustling Universe Radio Survey Telescope in Taiwan (BURSTT) is a new-generation wide-angle radio telescope specifically designed to survey Fast Radio Bursts (FRBs), energetic millisecond-duration pulses of unknown extragalactic origin. To realize its scientific potential, which includes detecting approximately 50 FRBs per year and sub-arcsecond localization capability, the system is designed to perform real-time beamforming and pulse search over the \SI{60}{\degree} $\times$ \SI{120}{\degree} field of view. This paper provides a detailed account of the design, implementation, and performance validation of the BURSTT back-end System. The system employs an efficient multi-stage processing architecture: initial beamforming is executed on the Xilinx ZCU216 RF System-on-Chip (RFSoC) platform; data is then transferred to Intel Xeon servers, where AVX-512 and AMX instruction sets are utilized for the second stage of beamforming and channelization, achieving high computational efficiency to ensure real-time capability. A highly optimized \texttt{bonsai} de-dispersion algorithm performs a real-time pulse search and triggering across 256 beams, which, upon detection, issues commands to the distributed outrigger system to save voltage data for very-long baseline interferometry (VLBI) precise localization. System performance has been validated through beamforming tests using bright radio sources and real-time detection of known pulsars, confirming the high fidelity of the signal processing pipeline.