High-precision timing of 42 millisecond pulsars with the European Pulsar Timing Array
G. Desvignes, R. N. Caballero, L. Lentati, J. P. W. Verbiest, D. J., Champion, B. W. Stappers, G. H. Janssen, P. Lazarus, S. Os{\l}owski, S., Babak, C. G. Bassa, P. Brem, M. Burgay, I. Cognard, J. R. Gair, E. Graikou,, L. Guillemot, J. W. T. Hessels, A. Jessner, C. Jordan

TL;DR
This paper presents high-precision timing data for 42 millisecond pulsars from the European Pulsar Timing Array, enabling improved measurements of pulsar parameters, Galactic electron density models, and constraints on gravitational waves.
Contribution
It provides the first extensive timing analysis of 42 MSPs with new parameter measurements and evaluates Galactic electron density models, advancing pulsar timing and gravitational wave research.
Findings
Detection of new parallaxes and proper motions for several pulsars.
Better match of NE2001 model to measured distances, with larger uncertainties.
Constraints on pulsar and companion masses via Shapiro delay detection.
Abstract
We report on the high-precision timing of 42 radio millisecond pulsars (MSPs) observed by the European Pulsar Timing Array (EPTA). This EPTA Data Release 1.0 extends up to mid-2014 and baselines range from 7-18 years. It forms the basis for the stochastic gravitational-wave background, anisotropic background, and continuous-wave limits recently presented by the EPTA elsewhere. The Bayesian timing analysis performed with TempoNest yields the detection of several new parameters: seven parallaxes, nine proper motions and, in the case of six binary pulsars, an apparent change of the semi-major axis. We find the NE2001 Galactic electron density model to be a better match to our parallax distances (after correction from the Lutz-Kelker bias) than the M2 and M3 models by Schnitzeler (2012). However, we measure an average uncertainty of 80\% (fractional) for NE2001, three times larger than what…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
