2019
DOI: 10.1051/0004-6361/201935452
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Iron abundance distribution in the hot gas of merging galaxy clusters

Abstract: We present XMM-Newton/EPIC observations of six merging galaxy clusters and study the distributions of their temperature, iron (Fe) abundance and pseudo-entropy along the merging axis. For the first time, we focus simultaneously, and in a comprehensive way, on the chemical and thermodynamic properties of the freshly collided intracluster medium (ICM). The Fe distribution of these clusters along the merging axis is found to be in good agreement with the azimuthally-averaged Fe abundance profile in typical non-co… Show more

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Cited by 10 publications
(19 citation statements)
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References 136 publications
(220 reference statements)
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“…Based on this value and using the self-similar quantities described in Appendix A of Arnaud et al (2010), we estimate r 500 = 0.81 Mpc = 7.82 (at this redshift) and T 500 = 3.14 keV. A3365 hosts one radio relic at the east (hereafter relic E) and one radio relic candidate at the west (hereafter, relic CW) discovered in the NVSS survey and observed by van Weeren et al (2011) with the VLA and WSRT at 1.4 GHz. As described by van Weeren et al ( 2011) relic E and relic CW have an angular extension of 5.5 or 560 kpc and 2.3 or 235 kpc, respectively, at this redshift (see Fig.…”
Section: Introductionmentioning
confidence: 88%
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“…Based on this value and using the self-similar quantities described in Appendix A of Arnaud et al (2010), we estimate r 500 = 0.81 Mpc = 7.82 (at this redshift) and T 500 = 3.14 keV. A3365 hosts one radio relic at the east (hereafter relic E) and one radio relic candidate at the west (hereafter, relic CW) discovered in the NVSS survey and observed by van Weeren et al (2011) with the VLA and WSRT at 1.4 GHz. As described by van Weeren et al ( 2011) relic E and relic CW have an angular extension of 5.5 or 560 kpc and 2.3 or 235 kpc, respectively, at this redshift (see Fig.…”
Section: Introductionmentioning
confidence: 88%
“…Next, we filter the soft-proton (SP) flares by building Good Time Interval (GTI) files. For this process we use the method detailed in Urdampilleta et al (2019) and extensively explained in Appendix A.1 of Mernier et al (2015). We identify and exclude the point sources in the complete FOV with a circular region of 10 radius (see Fig.…”
Section: Observations and Data Reductionmentioning
confidence: 99%
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