A NICER view of the 1.4 solar-mass edge-on pulsar PSR J0614-3329
Lucien Mauviard, Sebastien Guillot, Tuomo Salmi, Devarshi Choudhury, Bas Dorsman, Denis Gonz\'alez-Caniulef, Mariska Hoogkamer, Daniela Huppenkothen, Christine Kazantsev, Yves Kini, Jean-Francois Olive, Pierre Stammler, Anna L. Watts, Melissa Mendes, Nathan Rutherford

TL;DR
This study measures the radius of the neutron star PSR J0614-3329 using NICER and XMM-Newton data, employing Bayesian inference to analyze hot spot geometries and derive consistent radius estimates that inform the neutron star equation of state.
Contribution
First radius measurement of PSR J0614-3329 using NICER and XMM-Newton data with Bayesian modeling, confirming hot spot geometries and refining neutron star equation of state constraints.
Findings
Estimated radius of 10.29 km for the neutron star.
Hot emission regions are located at the pole and equator.
Results are consistent with previous X-ray and gravitational wave measurements.
Abstract
Four neutron star radius measurements have already been obtained by modeling the X-ray pulses of rotation-powered millisecond pulsars observed by the Neutron Star Interior Composition ExploreR (NICER). We report here the radius measurement of PSR J0614-3329 employing the same method with NICER and XMM-Newton data using Bayesian Inference. For all different models tested, including one with unrestricted inclination prior, we retrieve very similar non-antipodal hot regions geometries and radii. For the preferred model, we infer an equatorial radius of km for a mass of (median values with equal-tailed credible interval), the latter being essentially constrained from radio timing priors obtained by MeerKAT. A more complex model, fitting the data equally well, resulted in a consistent inferred radius. We find…
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.
