2019
DOI: 10.3847/1538-4357/aafac7
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Thermal Emission and Magnetic Beaming in the Radio and X-Ray Mode-switching PSR B0943+10

Abstract: PSR B0943+10 is a mode-switching radio pulsar characterized by two emission modes with different radio and X-ray properties. Previous studies, based on simple combinations of blackbody and power law models, showed that its X-ray flux can be decomposed in a pulsed thermal plus an unpulsed non-thermal components. However, if PSR B0943+10 is a nearly aligned rotator seen pole-on, as suggested by the radio data, it is difficult to reproduce the high observed pulsed fraction unless magnetic beaming is included. In … Show more

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Cited by 19 publications
(13 citation statements)
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“…The angular pattern of the emerging intensity depends also on the local surface temperature and magnetic field, so that the morphology of the pulse profiles can be extremely variegate. Using a partially ionized hydrogen atmosphere model (Suleimanov et al 2009) with improved opacities from Potekhin et al (2014), we computed the expected pulse profiles, as described in Rigoselli et al (2019). The best match with the data was obtained assuming emission from two antipodal hot spots with an effective temperature of 0.5 MK, and ξ = 30 • , χ = 35 • .…”
Section: Discussionmentioning
confidence: 99%
“…The angular pattern of the emerging intensity depends also on the local surface temperature and magnetic field, so that the morphology of the pulse profiles can be extremely variegate. Using a partially ionized hydrogen atmosphere model (Suleimanov et al 2009) with improved opacities from Potekhin et al (2014), we computed the expected pulse profiles, as described in Rigoselli et al (2019). The best match with the data was obtained assuming emission from two antipodal hot spots with an effective temperature of 0.5 MK, and ξ = 30 • , χ = 35 • .…”
Section: Discussionmentioning
confidence: 99%
“…In order to maximize the signal-to-noise ratio for these generally faint sources, we extracted their EPIC-pn spectra using the maximum likelihood method as described in Rigoselli et al (2019bRigoselli et al ( , 2021. The energy bins are chosen in such a way to have a significant detection, that means at least 50 counts per bin.…”
Section: Analysis Of the Six Unknown Sourcesmentioning
confidence: 99%
“…Multiwavelength monitoring of unusual pulsars such as the radio-loud magnetars and transition objects can shed light onto potential magnetospheric differences between the diverse neutron star populations (Camilo et al 2018;Dai et al 2018). Finally, the radio-X-ray correlation in mode-switching pulsars can put models of the pulsar magnetosphere to the test (Hermsen et al 2013;Rigoselli et al 2019).…”
Section: The Thousand-pulsar-array Programmementioning
confidence: 99%