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Einstein@Home discovers a radio-quiet gamma-ray millisecond pulsar

Einstein@Home discovers a radio-quiet gamma-ray millisecond pulsar


Title: Einstein@Home discovers a radio-quiet gamma-ray millisecond pulsar
Author: Clark, Colin J.
Pletsch, Holger J.
Wu, Jason
Guillemot, Lucas
Kerr, Matthew
Johnson, Tyrel J.
Camilo, Fernando
Salvetti, David
Allen, Bruce
Anderson, David
... 122 more authors Show all authors
Date: 2018-02
Language: English
Scope: eaao7228
University/Institute: Háskóli Íslands
University of Iceland
School: Verkfræði- og náttúruvísindasvið (HÍ)
School of Engineering and Natural Sciences (UI)
Department: Raunvísindastofnun (HÍ)
Science Institute (UI)
Series: Science Advances;4(2)
ISSN: 2375-2548
DOI: 10.1126/sciadv.aao7228
Subject: Gammageislar; Nifteindastjörnur; Stjörnusjónaukar
URI: https://hdl.handle.net/20.500.11815/751

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Citation:

Clark, C. J., Pletsch, H. J., Wu, J., Guillemot, L., Kerr, M., Johnson, T. J., . . . Wood, M. (2018). Einstein@Home discovers a radio-quiet gamma-ray millisecond pulsar. Science Advances, 4(2). doi:10.1126/sciadv.aao7228

Abstract:

Millisecond pulsars (MSPs) are old neutron stars that spin hundreds of times per second and appear to pulsate as their emission beams cross our line of sight. To date, radio pulsations have been detected from all rotation-powered MSPs. In an attempt to discover radio-quiet gamma-ray MSPs, we used the aggregated power from the computers of tens of thousands of volunteers participating in the Einstein@Home distributed computing project to search for pulsations from unidentified gamma-ray sources in Fermi Large Area Telescope data. This survey discovered two isolated MSPs, one of which is the only known rotation-powered MSP to remain undetected in radio observations. These gamma-ray MSPs were discovered in completely blind searches without prior constraints from other observations, raising hopes for detecting MSPs from a predicted Galactic bulge population.

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This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

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