Glitches in four gamma-ray pulsars and inferences on the neutron star structure
E. G\"ugercino\u{g}lu, M.Y. Ge, J.P. Yuan, S.Q. Zhou

TL;DR
This study analyzes over a decade of gamma-ray pulsar data to identify glitches, applying the vortex creep model to infer neutron star interior properties and predict future glitch behavior.
Contribution
It reports 20 glitches in four pulsars, including 11 new ones, and uses glitch modeling to derive neutron star structural parameters and glitch recurrence predictions.
Findings
Identified 20 glitches, 11 of which are new.
Large glitches with Δν/ν≥10^{-6} were common.
Theoretical predictions align with observed inter-glitch times.
Abstract
We present timing solutions from the Fermi-LAT observations of gamma-ray pulsars PSR J08354510 (Vela), PSR J10235746, PSR J21114606, and PSR J22296114. Data ranges for each pulsar extend over a decade. From data analysis we have identified a total of 20 glitches, 11 of which are new discoveries. Among them, 15 glitches are large ones with . PSR J10235746 is the most active pulsar with glitch activity parameter being \yr~in the considered data span and should be a target for frequently glitching Vela-like pulsars in future observations. We have done fits within the framework of the vortex creep model for 16 glitches with . By theoretical analysis of these glitches we are able to obtain important information on the structure of neutron star, including moments of inertia of the superfluid…
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.
