The NANOGrav 12.5-Year Data Set: Probing Interstellar Turbulence and Precision Pulsar Timing with PSR J1903+0327

TL;DR

This study analyzes interstellar scattering effects on pulsar timing using multi-epoch, multi-frequency data of PSR J1903+0327, revealing variability in scattering times and implications for precise pulsar timing.

Contribution

Developed a three-component pulse shape model and constrained the electron density fluctuation spectrum, advancing understanding of interstellar scattering impacts on pulsar timing.

Findings

Scattering time varies by ~10% over 5.5 years.

Refraction likely causes epoch-dependent scattering variations.

Scaling law for scattering time is sensitive to pulse shape assumptions.

Abstract

Free electrons in the interstellar medium refract and diffract radio waves along multiple paths, resulting in angular and temporal broadening of radio pulses that limits pulsar timing precision. We determine multifrequency, multi-epoch scattering times for the large dispersion measure millisecond pulsar J1903+0327 by developing a three component model for the emitted pulse shape that is convolved with a best fit pulse broadening function (PBF) identified from a family of thin-screen and extended-media PBFs. We show that the scattering time, $\tau$, at a fiducial frequency of 1500 MHz changes by approximately 10% over a 5.5yr span with a characteristic timescale of approximately 100 days. We also constrain the spectral index and inner scale of the wavenumber spectrum of electron density variations along this line of sight. We find that the scaling law for $\tau$ vs. radio frequency is strongly affected by any mismatch between the true and assumed PBF or between the true and assumed intrinsic pulse shape. We show using simulations that refraction is a plausible cause of the epoch dependence of $\tau$, manifesting as changes in the PBF shape and $1/e$ time scale. Finally, we discuss the implications of our scattering results on pulsar timing including time of arrival delays and dispersion measure misestimation.