High-Time Resolution GPU Imager for FRB searches at low radio frequencies

TL;DR

This paper introduces BLINK, a GPU-based high-time resolution imager designed for efficient low-frequency FRB searches, capable of processing widefield radio data and integrated into a GPU-accelerated pipeline.

Contribution

The paper presents a novel GPU-accelerated imager, BLINK, optimized for low-frequency FRB searches, with verification on real and simulated data and publicly available code.

Findings

BLINK efficiently processes widefield radio data for FRB detection.

GPU implementation outperforms CPU in speed and efficiency.

The code is adaptable to various radio telescopes and data sets.

Abstract

Fast Radio Bursts (FRBs) are millisecond dispersed radio pulses of predominately extra-galactic origin. Although originally discovered at GHz frequencies, most FRBs have been detected between 400 to 800 MHz. Nevertheless, only a handful of FRBs were detected below 400 MHz. Searching for FRBs at low frequencies is computationally challenging due to increased dispersive delay that must be accounted for. However, the wide field of view (FoV) of low-frequency telescopes - such as the the Murchison Widefield Array (MWA), and prototype stations of the low-frequency Square Kilometre Array (SKA-Low) - makes them promising instruments to open a low-frequency window on FRB event rates, and constrain FRB emission models. The standard approach, inherited from high-frequencies, is to form multiple tied-array beams to tessellate the entire FoV and perform the search on the resulting time series. This approach, however, may not be optimal for low-frequency interferometers due to their large FoVs and high spatial resolutions leading to a large number of beams. Consequently, there are regions of parameter space in terms of number of antennas and resolution elements (pixels) where interferometric imaging is computationally more efficient. Here we present a new high-time resolution imager BLINK implemented on modern Graphical Processing Units (GPUs) and intended for radio astronomy. The main goal for this imager is to become part of a fully GPU-accelerated FRB search pipeline. We describe the imager and present its verification on real and simulated data processed to form all-sky and widefield images from the MWA and prototype SKA-Low stations. We also present and compare benchmarks of the GPU and CPU code executed on laptops, desktop computers, and Australian supercomputers. The code is publicly available at https://github.com/PaCER-BLINK-Project/imager and can be applied to data from any radio telescope.