Measuring the ICM velocity structure within the A3266 galaxy cluster Article Swipe
E. Gatuzz
,
J. Sanders
,
A. Liu
,
A. Fabian
,
C. Pinto
,
H. R. Russell
,
D. Eckert
,
Stephen Walker
,
J. ZuHone
,
Rabindra N. Mohapatra
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2408.00837
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2408.00837
We present a detailed analysis of the velocity structure of the hot intracluster medium (ICM) within the A3266 galaxy cluster, including new observations taken between June and November 2023. Firstly, morphological structures within the galaxy cluster were examined using a Gaussian Gradient Magnitude (GGM) and adaptively smoothed GGM filter applied to the EPIC-pn X-ray image. Then, we applied a novel {\it XMM-Newton} EPIC-pn energy scale calibration, which uses instrumental Cu K$α$ as reference for the line emission, to measure line-of-sight velocities of the hot gas within the system. This approach enabled us to create two-dimensional projected maps for velocity, temperature, and metallicity, showing that the hot gas displays a redshifted systemic velocity relative to the cluster redshift across all fields of view. Further analysis of the velocity distribution through non-overlapping circular regions demonstrated consistent redshifted velocities extending up to 1125 kpc from the cluster core. Additionally, the velocity distribution was assessed along regions following surface brightness discontinuities, where we observed redshifted velocities in all regions, with the largest velocities reaching $768 \pm 284$ km/s. Moreover, we computed the velocity Probability Density Function (PDF) from the velocity map. We applied a normality test, finding that the PDF adheres to an unimodal normal distribution consistent with theoretical predictions. Lastly, we computed a velocity structure function (VSF) for this system using the measured line-of-sight velocities. These insights advance our understanding of the dynamic processes within the A3266 galaxy cluster and contribute to our broader knowledge of ICM behavior in merging galaxy clusters.
Related Topics
Concepts
Galaxy cluster
Cluster (spacecraft)
Astrophysics
Physics
Brightest cluster galaxy
Intracluster medium
Galaxy
Computer science
Programming language
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2408.00837
- https://arxiv.org/pdf/2408.00837
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4403241603
All OpenAlex metadata
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https://openalex.org/W4403241603Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2408.00837Digital Object Identifier
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Measuring the ICM velocity structure within the A3266 galaxy clusterWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
- Publication date
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2024-08-01Full publication date if available
- Authors
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E. Gatuzz, J. Sanders, A. Liu, A. Fabian, C. Pinto, H. R. Russell, D. Eckert, Stephen Walker, J. ZuHone, Rabindra N. MohapatraList of authors in order
- Landing page
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https://arxiv.org/abs/2408.00837Publisher landing page
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https://arxiv.org/pdf/2408.00837Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2408.00837Direct OA link when available
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Galaxy cluster, Cluster (spacecraft), Astrophysics, Physics, Brightest cluster galaxy, Intracluster medium, Galaxy, Computer science, Programming languageTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.function | 212 |
| abstract_inverted_index.insights | 223 |
| abstract_inverted_index.measured | 219 |
| abstract_inverted_index.observed | 159 |
| abstract_inverted_index.reaching | 169 |
| abstract_inverted_index.redshift | 116 |
| abstract_inverted_index.regions, | 164 |
| abstract_inverted_index.relative | 112 |
| abstract_inverted_index.smoothed | 46 |
| abstract_inverted_index.systemic | 110 |
| abstract_inverted_index.unimodal | 199 |
| abstract_inverted_index.velocity | 7, 111, 126, 147, 178, 185, 210 |
| abstract_inverted_index.Magnitude | 42 |
| abstract_inverted_index.Moreover, | 174 |
| abstract_inverted_index.clusters. | 248 |
| abstract_inverted_index.emission, | 76 |
| abstract_inverted_index.extending | 136 |
| abstract_inverted_index.following | 153 |
| abstract_inverted_index.including | 20 |
| abstract_inverted_index.knowledge | 241 |
| abstract_inverted_index.normality | 190 |
| abstract_inverted_index.processes | 230 |
| abstract_inverted_index.projected | 95 |
| abstract_inverted_index.reference | 72 |
| abstract_inverted_index.structure | 8, 211 |
| abstract_inverted_index.velocity, | 98 |
| abstract_inverted_index.adaptively | 45 |
| abstract_inverted_index.brightness | 155 |
| abstract_inverted_index.consistent | 133, 202 |
| abstract_inverted_index.contribute | 237 |
| abstract_inverted_index.redshifted | 109, 134, 160 |
| abstract_inverted_index.structures | 31 |
| abstract_inverted_index.velocities | 80, 135, 161, 168 |
| abstract_inverted_index.Probability | 179 |
| abstract_inverted_index.XMM-Newton} | 61 |
| abstract_inverted_index.theoretical | 204 |
| abstract_inverted_index.velocities. | 221 |
| abstract_inverted_index.calibration, | 65 |
| abstract_inverted_index.demonstrated | 132 |
| abstract_inverted_index.distribution | 127, 148, 201 |
| abstract_inverted_index.instrumental | 68 |
| abstract_inverted_index.intracluster | 12 |
| abstract_inverted_index.metallicity, | 101 |
| abstract_inverted_index.observations | 22 |
| abstract_inverted_index.predictions. | 205 |
| abstract_inverted_index.temperature, | 99 |
| abstract_inverted_index.Additionally, | 145 |
| abstract_inverted_index.line-of-sight | 79, 220 |
| abstract_inverted_index.morphological | 30 |
| abstract_inverted_index.understanding | 226 |
| abstract_inverted_index.non-overlapping | 129 |
| abstract_inverted_index.two-dimensional | 94 |
| abstract_inverted_index.discontinuities, | 156 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 10 |
| citation_normalized_percentile.value | 0.15663012 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |