The strongest cosmic magnets: soft gamma-ray repeaters and anomalous X-ray pulsars
Abstract:
Two classes of X-ray pulsars, the anomalous X-ray pulsars and the soft gamma-ray repeaters, have been recognized in the last decade as the most promising candidates for being magnetars: isolated neutron stars powered by magnetic energy. I review the observational properties of these objects, focussing on the most recent results, and their interpretation in the magnetar model. Alternative explanations, in particular those based on accretion from residual disks, are also considered. The possible relations between these sources and other classes of neutron stars and astrophysical objects are also discussed.read more
Citations
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The rotation-powered nature of some soft gamma-ray repeaters and anomalous X-ray pulsars
Jaziel G. Coelho,Jaziel G. Coelho,D. L. Cáceres,R. C. R. de Lima,Manuel Malheiro,Jorge A. Rueda,Remo Ruffini +6 more
TL;DR: In this paper, the authors investigated the possibility that some members of this family could be canonical rotation-powered pulsars using realistic NS structure parameters instead of fiducial values, and they showed that realistic NS parameters lowers the estimated value of the magnetic field and radiation efficiency, L X /Ė rot, with respect to estimates based on FD parameters.
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Transient multimessenger astronomy with gravitational waves
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Magnetar Giant Flares --- Flux Rope Eruptions in Multipolar Magnetospheric Magnetic Fields
TL;DR: In this paper, a self-consistent stationary, axisymmetric model of the magnetar magnetosphere is constructed based on a force-free magnetic field configuration which contains a helically twisted force free flux rope.
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The variable X-ray emission of PSR B0943+10
Sandro Mereghetti,Andrea Tiengo,Andrea Tiengo,Andrea Tiengo,Paolo Esposito,Roberto Turolla,Roberto Turolla +6 more
TL;DR: In this paper, the authors derived an upper limit of 46% on the X-ray pulsed fraction in the B-mode, consistent with the geometry and viewing angle of PSR B0943+10 inferred from the radio data.
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