arXiv · 2204.02025
Revisiting Pushchino RRAT search using neural network
Abstract
The search for rotating radio transients (RRAT) at declination from -9o to +42o was carried out in the semi-annual monitoring data obtained on the Large Phased Array (LPA) radio telescope at the frequency of 111 MHz. A neural network was used to search for candidates. 4 new RRATs were detected, having dispersion measures (DM) 5-16 pc/cm3. A comparison with an earlier RRAT search conducted using the same data shows that the neural network reduced the amount of interference by 80 times, down to 1.3% of the initial amount of interferences. The loss of real pulsar pulses does not exceed 6% of their total number.
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S. A. Tyul'bashev, D. V. Pervukhin, M. A. Kitaeva, G. E. Tyul'basheva, E. A. Brylyakova, A. V. Chernosov. 2022-04-05. Revisiting Pushchino RRAT search using neural network. https://doi.org/10.1051/0004-6361%2F202243213
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