Litcius/Paper detail

Tied-array beam localization of radio transients and pulsars

M C Bezuidenhout, C. J. Clark, R. P. Breton, B. W. Stappers, E D Barr, Manisha Caleb, W Chen, F. Jankowski, M Kramer, Kaustubh Rajwade, Mayuresh Surnis

2023RAS Techniques and Instruments17 citationsDOIOpen Access PDF

Abstract

Abstract Multi-element interferometers such as MeerKAT, which observe with high time resolution and have a wide field of view, provide an ideal opportunity to perform real-time, untargeted transient and pulsar searches. However, because of data storage limitations, it is not always feasible to store the baseband data required to image the field of a discovered transient or pulsar. This limits the ability of surveys to effectively localize their discoveries and may restrict opportunities for follow-up science, especially of one-off events like some fast radio bursts. Here, we present a novel maximum-likelihood estimation approach to localizing transients and pulsars detected in multiple MeerKAT tied-array beams at once, which we call tied-array beam localization, as well as a Python implementation of the method named SeeKAT. We provide real-world examples of SeeKAT’s use as well as a Monte Carlo analysis to show that it is capable of localizing single pulses detected in beamformed MeerKAT data to (sub)arcsec precision.

Topics & Concepts

PulsarPython (programming language)PhysicsAstronomical interferometerTransient (computer programming)Field of viewMonte Carlo methodComputer scienceInterferometryOpticsAstrophysicsOperating systemStatisticsMathematicsPulsars and Gravitational Waves ResearchRadio Astronomy Observations and TechnologySeismic Waves and Analysis