1972
DOI: 10.1086/151550
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Optical Timing of the Crab Pulsar, NP 0532

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Cited by 143 publications
(97 citation statements)
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“…Timing noise may result from a random walk in the pulse phase, spin or spin down, which would give power-law spectra for the timing residuals (S(f ) ∝ f α ) with spectral indices α = −2, −4 or −6 respectively (Boynton et al 1972). But there is some argument that it cannot simply be modelled as a random walk (e.g., Cordes & Downs 1985;Hobbs et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Timing noise may result from a random walk in the pulse phase, spin or spin down, which would give power-law spectra for the timing residuals (S(f ) ∝ f α ) with spectral indices α = −2, −4 or −6 respectively (Boynton et al 1972). But there is some argument that it cannot simply be modelled as a random walk (e.g., Cordes & Downs 1985;Hobbs et al 2010).…”
Section: Introductionmentioning
confidence: 99%
“…Most importantly, the observed quasi-sinusoidal variations in both the DM and the time offset between the low-and high-frequency timing data are difficult to explain in the context of the planetary scenario. Alternative explanation of the present observation in terms of timing noise − either in the form of random walks (Boynton et al 1972) or some large-scale internal oscillations of neutron star (Ruderman 1970) − has difficulties in accounting for both the sustained regular cyclic pattern and the observed periodicities in the data. Furthermore, it is highly improbable that timing noise of any sort could plausibly explain the observed variations in both the DM and the dual-frequency residual offsets.…”
Section: Discussionmentioning
confidence: 84%
“…Furthermore, the rate and amplitude of resolved events can be readily understood in terms of a random process, both from the point of view of a series of random jumps comprising such a process, or as the large-amplitude end of a broad distribution of microglitches in one or more of the rotation variables that comprise the noise process. The random walks in (/), v and I. considered by Boynton et al (1972) and other workers can be explained by random changes in the emission region or beam direction, moment of inertia of the star, and the process of rotational energy loss respectively.…”
Section: The Characterisation Of Timing Noisementioning
confidence: 93%
“…Timing noise was first recognised by Boynton et al (1972), who examined the first two years of timing data from the Crab pulsar. After modelling the pulsar slow-down and a glitch, they found that a quasi-sinusoidal structure remained in the residuals over time spans of a month or more.…”
Section: The Characterisation Of Timing Noisementioning
confidence: 99%
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