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• W2164409239 abstract "We build a framework using tools from Bayesian data analysis to evaluate models explaining the periodic variations in spin-down and beam-width of PSR B1828-11. The available data consists of the time averaged spin-down rate, which displays a distinctive double-peaked modulation, and measurements of the beam-width. Two concepts exist in the literature that are capable of explaining these variations; we formulate predictive models from these and quantitatively compare them. The first concept is phenomenological and stipulates that the magnetosphere undergoes periodic switching between two meta-stable states as first suggested by Lyne et al. The second concept, precession, was first considered as a candidate for the modulation of B1828-11 by Stairs et al.. We quantitatively compare models built from these concepts using a Bayesian odds-ratio. Because the phenomenological switching model itself was informed by this data in the first place, it is difficult to specify appropriate parameter-space priors that can be trusted for an unbiased model comparison. Therefore we first perform a parameter estimation using the spin-down data, and then use the resulting posterior distributions as priors for model comparison on the beam-width data. We find that a precession model with a simple circular Gaussian beam geometry fails to appropriately describe the data, while allowing for a more general beam geometry provides a good fit to the data. The resulting odds between the precession model (with a general beam geometry) and the switching model are estimated as $10^{2.7 pm 0.5}$ in favour of the precession model." @default.
• W2164409239 created "2016-06-24" @default.
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• W2164409239 date "2016-02-23" @default.
• W2164409239 modified "2023-09-23" @default.
• W2164409239 title "Comparing models of the periodic variations in spin-down and beamwidth for PSR B1828−11" @default.
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• W2164409239 doi "https://doi.org/10.1093/mnras/stw334" @default.
• W2164409239 hasPublicationYear "2016" @default.
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