2020
DOI: 10.48550/arxiv.2005.09388
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Pulsar glitch detection with a hidden Markov model

A. Melatos,
L. M. Dunn,
S. Suvorova
et al.

Abstract: Pulsar timing experiments typically generate a phase-connected timing solution from a sequence of times-of-arrival (TOAs) by absolute pulse numbering, i.e. by fitting an integer number of pulses between TOAs in order to minimize the residuals with respect to a parametrized phase model. In this observing mode, rotational glitches are discovered, when the residuals of the no-glitch phase model diverge after some epoch, and glitch parameters are refined by Bayesian followup. Here an alternative, complementary app… Show more

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Cited by 2 publications
(6 citation statements)
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“…The modelling and detection of such CGWs by interferometric data (such as from aLIGO) follows the work of Jaranowski [27] (and the following parts). The stochastic wander in f is incorporated into detection schemes based on hidden Markov models [32,33].…”
Section: Gravitational Wave Astronomymentioning
confidence: 99%
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“…The modelling and detection of such CGWs by interferometric data (such as from aLIGO) follows the work of Jaranowski [27] (and the following parts). The stochastic wander in f is incorporated into detection schemes based on hidden Markov models [32,33].…”
Section: Gravitational Wave Astronomymentioning
confidence: 99%
“…). This is a non-physical prior which will impose little to no bias on inferences, used similarly in discretised methods such as in HMMs [32,33]. Definition 2.…”
Section: Problem Formulationmentioning
confidence: 99%
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“…The modelling and detection of such CGWs by interferometric data (such as from aLIGO) follows the work of Jaranowski [11], [12], [29]- [31]. The stochastic wander in f is incorporated into detection schemes based on hidden Markov models [37], [59]- [61].…”
Section: A Gravitational Wave Astronomymentioning
confidence: 99%
“…Important targets include the persistent, sinusoidal, quasimonochromatic signals predicted to emanate from rapidly rotating neutron stars with an asymmetric mass distribution; these are termed continuouswave signals [48], [49]. In continuous-wave searches, detection and estimation algorithms often assume that the frequency wanders according to a random walk (RW) [11], [12], [29]- [31], [37], [59]- [61]. The problem also arises in a range of other contexts in structural analysis [67] and sound processing [9], [24], [63] (see §II).…”
Section: Introductionmentioning
confidence: 99%