English

Revisiting Pushchino RRAT search using neural network

High Energy Astrophysical Phenomena 2022-08-03 v1

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.

Keywords

Cite

@article{arxiv.2204.02025,
  title  = {Revisiting Pushchino RRAT search using neural network},
  author = {S. A. Tyul'bashev and D. V. Pervukhin and M. A. Kitaeva and G. E. Tyul'basheva and E. A. Brylyakova and A. V. Chernosov},
  journal= {arXiv preprint arXiv:2204.02025},
  year   = {2022}
}

Comments

7 pages, 2 figures, submitted to A&A

R2 v1 2026-06-24T10:38:06.541Z