A real-time Automated Glitch Detection Pipeline at Ooty Radio Telescope
arXiv:2106.01942 · doi:10.1093/mnras/stab1640
Abstract
Glitches are the observational manifestations of superfluidity inside neutron stars. The aim of this paper is to describe an automated glitch detection pipeline, which can alert the observers on possible real-time detection of rotational glitches in pulsars. Post alert, the pulsars can be monitored at a higher cadence to measure the post-glitch recovery phase. Two algorithms namely, Median Absolute Deviation (MAD) and polynomial regression have been explored to detect glitches in real time. The pipeline has been optimized with the help of simulated timing residuals for both the algorithms. Based on the simulations, we conclude that the polynomial regression algorithm is significantly more effective for real time glitch detection. The pipeline has been tested on a few published glitches. This pipeline is presently implemented at the Ooty Radio Telescope. In the era of upcoming large telescopes like SKA, several hundreds of pulsars will be observed regularly and such a tool will be useful for both real-time detection as well as optimal utilization of observation time for such glitching pulsars.
10 pages, 6 figures, Accepted for publication in MNRAS
References in corpus (8)
- The ATNF Pulsar Catalogue
- TEMPO2, a new pulsar timing package. I: Overview
- PSRCHIVE and PSRFITS An Open Approach to Radio Pulsar Data Storage and Analysis
- Tempo2, a new pulsar timing package. II: The timing model and precision estimates
- Detection of 107 glitches in 36 southern pulsars
- PONDER - A Real time software backend for pulsar and IPS observations at the Ooty Radio Telescope
- Pulsar timing noise and the minimum observation time to detect gravitational waves with pulsar timing arrays
- Observed glitches in 8 young pulsars