DOI: 10.1017/pasa.2026.10254 ISSN: 1323-3580
Quasi-periodic microstructures in pulsar emission: Automated detection and archival survey
Amarnath, Yogesh MaanAbstract
The study of quasi-period microstructures in pulsars offers valuable insights into the underlying emission mechanism. However, identifying these features through manual inspection of the intensity time series, often containing thousands to millions of pulses, is both laborious and time-consuming. To address this challenge, we have developed a Python-based software, Quasi-periodic MIcrostructure Search Tool (
QMIST
), to automate the search for quasi-periodic microstructures in radio pulsar time-series data. We provide a detailed description of the algorithms used in
QMIST
, demonstrate its efficacy using data on pulsars known to exhibit microstructures, and discuss potential future improvements. Using
QMIST
, we have performed a multi-epoch survey of quasi-periodic microstructures in a sample of 27 pulsars, using observations from the Giant Metrewave Radio Telescope and the Green Bank Telescope, as well as the archival data from the Parkes telescope. In addition to recovering previously reported microstructures from several pulsars, we report, for the first time, detection of quasi-periodic microstructures in three pulsars, B1451