Stochastic problems in pulsar timing
Reginald Christian Bernardo

TL;DR
This paper derives analytical solutions to Langevin equations modeling pulsar timing noise and gravitational wave signals, providing physical insights and addressing stationarity issues in pulsar timing analysis.
Contribution
It introduces analytical time-domain solutions for Langevin equations in pulsar timing, clarifies stationarity conditions, and models neutron star spin dynamics with explicit covariance expressions.
Findings
Analytical solutions for Langevin equations in pulsar timing noise.
Identification of nonstationarity in pulsar residual models.
Support for stationary GWB signals with harmonic oscillator models.
Abstract
Langevin stochastic differential equations provide a dynamical description of pulsar timing noise and gravitational wave background (GWB) signals. They are also central to state space algorithms that have gained traction in pulsar timing array analysis due to their linear computational scaling with the number of observations. In this work, we utilize established methods in diffusion theory to derive analytical time-domain solutions (means, covariances, and probability density functions) to Langevin equations relevant to red noise and the GWB signal in pulsars. The solutions give direct physical insight on the dynamics of pulsar timing signals. As a canonical example, we show that the pulsar spin frequency modeled as an Ornstein-Uhlenbeck process is mathematically inconsistent with a stationary GWB signal when the timing residual is the direct observable. The nonstationarity can be…
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