2017
DOI: 10.1093/mnras/stx1042
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Deep 230–470 MHz VLA observations of the mini-halo in the Perseus cluster

Abstract: We present a low-frequency view of the Perseus cluster with new observations from the Karl G. Jansky Very Large Array (JVLA) at 230-470 MHz. The data reveal a multitude of new structures associated with the mini-halo. The mini-halo seems to be influenced both by the AGN activity as well as by the sloshing motion of the cool core cluster's gas. In addition, it has a filamentary structure similar to that seen in radio relics found in merging clusters. We present a detailed description of the data reduction and i… Show more

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Cited by 44 publications
(43 citation statements)
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“…[52] presents a map of rotation measurements across the cluster (not used in previous studies). We recall numerous radio and X-ray observations indicating the presence of an X-ray cavity, or a radio mini-halo, around NGC 1275, consistent with the lobe-environment interaction [53,54,55,56]. An analytical model of the regular magnetic field in such a cavity was presented (and supported by numerical simulations) in Ref.…”
Section: Introductionmentioning
confidence: 76%
“…[52] presents a map of rotation measurements across the cluster (not used in previous studies). We recall numerous radio and X-ray observations indicating the presence of an X-ray cavity, or a radio mini-halo, around NGC 1275, consistent with the lobe-environment interaction [53,54,55,56]. An analytical model of the regular magnetic field in such a cavity was presented (and supported by numerical simulations) in Ref.…”
Section: Introductionmentioning
confidence: 76%
“….]. Right panel: VLA 230-470 MHz image of the relaxed cool core Perseus cluster from Gendron-Marsolais et al (2017). XMM-Newton X-ray contours in the 0.4-1.3 keV band are overlaid in white with the same contour spacing as in the left panel.…”
Section: Classificationmentioning
confidence: 99%
“…The data reduction was performed with CASA (Common Astronomy Software Applications). A pipeline has been specifically developed to reduce this dataset and is presented in detail in Gendron-Marsolais et al (2017).…”
Section: Radio Datamentioning
confidence: 99%