Search for fast radio transients using Arecibo drift-scan observations at 1.4 GHz
B. B. P. Perera, A. J. Smith, S. Vaddi, R. Carballo-Rubio, A., McGilvray, A. Venkataraman, D. Anish Roshi, P. K. Manoharan, P. Perillat, E., Lieb, D. R. Lorimer, M. A. McLaughlin, D. Agarwal, K. Aggarwal, S. M. Ransom

TL;DR
This study used Arecibo drift-scan observations at 1.4 GHz to search for fast radio transients, employing machine learning to analyze 160 hours of data, but found no new astrophysical signals, setting upper limits on FRB rates.
Contribution
First application of Arecibo drift-scan observations for fast radio transient search with machine learning analysis and setting new upper limits on FRB occurrence rates.
Findings
No new astrophysical transients detected.
Detected pulses from known pulsars, consistent with expectations.
Established upper limit for FRB rate at 1.4 GHz.
Abstract
We conducted a drift-scan observation campaign using the 305-m Arecibo telescope in January and March 2020 when the observatory was temporarily closed during the intense earthquakes and the initial outbreak of the COVID-19 pandemic, respectively. The primary objective of the survey was to search for fast radio transients, including Fast Radio Bursts (FRBs) and Rotating Radio Transients (RRATs). We used the 7-beam ALFA receiver to observe different sections of the sky within the declination region (1020) deg on 23 nights and collected 160 hours of data in total. We searched our data for single-pulse transients, covering up to a maximum dispersion measure of 11 000 pc cm at which the dispersion delay across the entire bandwidth is equal to the 13 s transit length of our observations. The analysis produced more than 18 million candidates. Machine learning techniques sorted…
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