Discovery of Nine Gamma-Ray Pulsars in Fermi-LAT Data Using a New Blind Search Method
H. J. Pletsch, L. Guillemot, B. Allen, M. Kramer, C. Aulbert, H., Fehrmann, P. S. Ray, E. D. Barr, A. Belfiore, F. Camilo, P. A. Caraveo, O., Celik, D. J. Champion, M. Dormody, R. P. Eatough, E. C. Ferrara, P. C. C., Freire, J. W. T. Hessels, M. Keith, M. Kerr, A. de Luca

TL;DR
This paper reports the discovery of nine new gamma-ray pulsars in Fermi-LAT data using a novel hierarchical blind search method that is computationally efficient and effective for detecting isolated pulsars at high frequencies.
Contribution
The paper introduces a new hierarchical search method for gamma-ray pulsars, incorporating metric-based parameter space gridding and photon probability weights, enabling the discovery of previously unknown pulsars.
Findings
Nine gamma-ray pulsars discovered with spin frequencies between 3 and 12 Hz.
Two young, energetic pulsars located on the Galactic plane.
Seven older, less energetic pulsars, with some at high Galactic latitudes.
Abstract
We report the discovery of nine previously unknown gamma-ray pulsars in a blind search of data from the Fermi Large Area Telescope (LAT). The pulsars were found with a novel hierarchical search method originally developed for detecting continuous gravitational waves from rapidly rotating neutron stars. Designed to find isolated pulsars spinning at up to kHz frequencies, the new method is computationally efficient, and incorporates several advances, including a metric-based gridding of the search parameter space (frequency, frequency derivative and sky location) and the use of photon probability weights. The nine pulsars have spin frequencies between 3 and 12 Hz, and characteristic ages ranging from 17 kyr to 3 Myr. Two of them, PSRs J1803-2149 and J2111+4606, are young and energetic Galactic-plane pulsars (spin-down power above 6e35 erg/s and ages below 100 kyr). The seven remaining…
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.
