Measuring scattering variations in pulsar timing observations: A test of the fidelity of current methods

TL;DR

This paper evaluates the effectiveness of current interstellar medium noise models in pulsar timing data, revealing potential issues like decorrelation effects and model-induced artifacts, and emphasizes the need for improved modelling techniques.

Contribution

It provides a comprehensive analysis of IISM noise models using simulations and real data, highlighting their limitations and proposing directions for enhancement.

Findings

Simulations show significant radio-frequency decorrelation in scattering variations.

Observed anticorrelations between DM and scattering may result from model fitting.

IISM noise models can produce apparent frequency dependence in scattering measurements.

Abstract

The turbulent nature of the ionised interstellar medium (IISM) causes dispersion measure (DM) and scattering variations in pulsar timing measurements. To improve precision of gravitational wave measurements, pulsar timing array (PTA) collaborations have begun the use of sophisticated and intricate noise modelling techniques such as modelling stochastic variations induced by the turbulent IISM and quasi-deterministic processes attributed to discrete structures. However, the reliability of these techniques has not been studied in detail, and it is unclear whether the recovered processes are physical or if they are impacted by misspecification. In this work, we present an analysis to test the efficacy of IISM noise models based on the data from the MeerKAT Pulsar Timing Array (MPTA) 4.5-year data release. We first performed multi-frequency, long-length (500 refractive length scale) simulations of multipath propagation in the IISM to study the properties of scattering variations under a variety of scattering conditions. The results of our simulations show the possibility of significant radio-frequency decorrelation in the scattering variations, particularly for the anisotropic scattering medium. Our analysis of the observed DM and scattering variations using the MPTA 4.5-year data set shows that there can be apparent anticorrelations between DM and scattering variations, which we attribute to the model fitting methods. We also report a possibility that plasma underdensities might exist along the sight lines of PSR J1431$-$5740 and PSR J1802$-$2124. Finally, using simulations, we show that the IISM noise models can result in the apparent measurement of strong frequency dependence of scattering variations observed in the MPTA data set. Our analysis shows that improvements in the IISM noise modelling techniques are necessary to accurately measure the IISM properties.