Journal article
Systematic upper limits on the size of missing pulsar glitches in the first UTMOST open data release
L Dunn, A Melatos, S Suvorova, W Moran, RJ Evans, S Osłowski, ME Lower, M Bailes, C Flynn, V Gupta
Monthly Notices of the Royal Astronomical Society | OXFORD UNIV PRESS | Published : 2022
Abstract
A systematic, semi-automated search for pulsar glitches in the first UTMOST public data release is presented. The search is carried out using a hidden Markov model which incorporates both glitches and timing noise into the model of the assumed phase evolution of the pulsar. Glitches are detected through Bayesian model selection between models with and without glitches present with minimal human intervention. Nine glitches are detected among seven objects, all of which have been previously reported. No new glitches were detected. Injection studies are used to place 90 per cent frequentist upper limits on the size of undetected glitches in each of the 282 objects searched. The mean upper limit..
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Grants
Awarded by Australian Research Council
Funding Acknowledgements
The authors are most grateful to the UTMOST team for their hard work in collecting the data which forms the first UTMOST open data release. The Molonglo Observatory is owned and operated by the University of Sydney with support from the School of Physics and the University. Parts of this research are supported by the Australian Research Council (ARC) Centre of Excellence for Gravitational Wave Discovery (OzGrav) (project number CE170100004) and ARC Discovery Project DP170103625. LD is supported by an Australian Government Research Training Program Scholarship and by the Rowden White Scholarship. This work was performed on the OzSTAR national facility at Swinburne University of Technology. The OzSTAR program receives funding in part from the Astronomy National Collaborative Research Infrastructure Strategy (NCRIS) allocation provided by the Australian Government.