Hierarchical Bayesian estimation of population-level torque law parameters from anomalous pulsar braking indices
arXiv:2502.15211 · doi:10.1093/mnras/staf231
Abstract
Abridged. Stochastic fluctuations in the spin frequency of a rotation-powered pulsar affect how accurately one measures the power-law braking index, , defined through , and can lead to measurements of anomalous braking indices, with , where the overdot symbolizes a derivative with respect to time. Previous studies show that the variance of the measured obeys the predictive, falsifiable formula for , where is the timing noise amplitude, is a stellar damping time-scale, and is the total observing time. Here we combine this formula with a hierarchical Bayesian scheme to infer the population-level distribution of for a pulsar population of size . The scheme is validated using synthetic data. For a plausible test population with and injected values drawn from a population-level Gaussian with mean and standard deviation , intermediate between electromagnetic braking and mass quadrupole gravitational radiation reaction, the Bayesian scheme infers and . The per-pulsar posteriors for and contain and , respectively, of the injected values within their credible intervals. Comparable accuracy is achieved for (i) population sizes spanning the range , and (ii) wide priors satisfying and , which accommodate plausible spin-down mechanisms with .
arXiv comment16 pages, 7 figures
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