Galaxy cluster scaling relations measured with APEX-SZ Article Swipe
YOU?
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· 2016
· Open Access
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· DOI: https://doi.org/10.1093/mnras/stw1158
We present thermal Sunyaev–Zel'dovich effect (SZE) measurements for 42 galaxy clusters observed at 150 GHz with the APEX-SZ experiment. For each cluster, we model the pressure profile and calculate the integrated Comptonization Y to estimate the total thermal energy of the intracluster medium (ICM). We compare the measured Y values to X-ray observables of the ICM from the literature (cluster gas mass Mgas, temperature TX, and YX = MgasTX) that relate to total cluster mass. We measure power-law scaling relations, including an intrinsic scatter, between the SZE and X-ray observables for three subsamples within the set of 42 clusters that have uniform X-ray analysis in the literature. We observe that differences between these X-ray analyses introduce significant variance into the measured scaling relations, particularly affecting the normalization. For all three subsamples, we find results consistent with a self-similar model of cluster evolution dominated by gravitational effects. Comparing to predictions from numerical simulations, these scaling relations prefer models that include cooling and feedback in the ICM. Lastly, we measure an intrinsic scatter of ∼28 per cent in the Y − YX scaling relation for all three subsamples.
Related Topics
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.1093/mnras/stw1158
- https://academic.oup.com/mnras/article-pdf/460/4/3432/8116729/stw1158.pdf
- OA Status
- bronze
- Cited By
- 12
- References
- 99
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2294481201
Raw OpenAlex JSON
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https://openalex.org/W2294481201Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/mnras/stw1158Digital Object Identifier
- Title
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Galaxy cluster scaling relations measured with APEX-SZWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2016Year of publication
- Publication date
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2016-05-16Full publication date if available
- Authors
-
A. N. Bender, James E. Kennedy, P. A. R. Ade, Kaustuv Basu, F. Bertoldi, Sandra Burkutean, John Clarke, D. Dahlin, M. Dobbs, D. Ferrusca, D. Flanigan, N. W. Halverson, W. L. Holzapfel, C. Horellou, Bradley R. Johnson, Z. Kermish, Matthias Klein, R. Kneißl, T. Lanting, A. T. Lee, J. Mehl, K. M. Menten, D. Muders, Aarti Nagarajan, F. Pacaud, C. L. Reichardt, P. L. Richards, R. Schaaf, D. Schwan, Martin W. Sommer, H. Spieler, C. Tucker, B. WestbrookList of authors in order
- Landing page
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https://doi.org/10.1093/mnras/stw1158Publisher landing page
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https://academic.oup.com/mnras/article-pdf/460/4/3432/8116729/stw1158.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://academic.oup.com/mnras/article-pdf/460/4/3432/8116729/stw1158.pdfDirect OA link when available
- Concepts
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Physics, Scaling, Intracluster medium, Galaxy cluster, Astrophysics, Observable, Cluster (spacecraft), Sunyaev–Zel'dovich effect, Power law, Galaxy, Statistics, Geometry, Mathematics, Computer science, Quantum mechanics, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
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12Total citation count in OpenAlex
- Citations by year (recent)
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2022: 1, 2021: 2, 2020: 3, 2019: 1, 2018: 2Per-year citation counts (last 5 years)
- References (count)
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99Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.find | 132 |
| abstract_inverted_index.from | 56, 149 |
| abstract_inverted_index.have | 100 |
| abstract_inverted_index.into | 118 |
| abstract_inverted_index.mass | 61 |
| abstract_inverted_index.that | 69, 99, 109, 157 |
| abstract_inverted_index.with | 15, 135 |
| abstract_inverted_index.(SZE) | 5 |
| abstract_inverted_index.Mgas, | 62 |
| abstract_inverted_index.X-ray | 51, 88, 102, 113 |
| abstract_inverted_index.mass. | 74 |
| abstract_inverted_index.model | 23, 138 |
| abstract_inverted_index.these | 112, 152 |
| abstract_inverted_index.three | 91, 129, 184 |
| abstract_inverted_index.total | 36, 72 |
| abstract_inverted_index.∼28 | 172 |
| abstract_inverted_index.(ICM). | 43 |
| abstract_inverted_index.effect | 4 |
| abstract_inverted_index.energy | 38 |
| abstract_inverted_index.galaxy | 9 |
| abstract_inverted_index.medium | 42 |
| abstract_inverted_index.models | 156 |
| abstract_inverted_index.prefer | 155 |
| abstract_inverted_index.relate | 70 |
| abstract_inverted_index.values | 49 |
| abstract_inverted_index.within | 93 |
| abstract_inverted_index.APEX-SZ | 17 |
| abstract_inverted_index.Lastly, | 165 |
| abstract_inverted_index.MgasTX) | 68 |
| abstract_inverted_index.between | 84, 111 |
| abstract_inverted_index.cluster | 73, 140 |
| abstract_inverted_index.compare | 45 |
| abstract_inverted_index.cooling | 159 |
| abstract_inverted_index.include | 158 |
| abstract_inverted_index.measure | 76, 167 |
| abstract_inverted_index.observe | 108 |
| abstract_inverted_index.present | 1 |
| abstract_inverted_index.profile | 26 |
| abstract_inverted_index.results | 133 |
| abstract_inverted_index.scaling | 78, 121, 153, 180 |
| abstract_inverted_index.scatter | 170 |
| abstract_inverted_index.thermal | 2, 37 |
| abstract_inverted_index.uniform | 101 |
| abstract_inverted_index.(cluster | 59 |
| abstract_inverted_index.analyses | 114 |
| abstract_inverted_index.analysis | 103 |
| abstract_inverted_index.cluster, | 21 |
| abstract_inverted_index.clusters | 10, 98 |
| abstract_inverted_index.effects. | 145 |
| abstract_inverted_index.estimate | 34 |
| abstract_inverted_index.feedback | 161 |
| abstract_inverted_index.measured | 47, 120 |
| abstract_inverted_index.observed | 11 |
| abstract_inverted_index.pressure | 25 |
| abstract_inverted_index.relation | 181 |
| abstract_inverted_index.scatter, | 83 |
| abstract_inverted_index.variance | 117 |
| abstract_inverted_index.Comparing | 146 |
| abstract_inverted_index.affecting | 124 |
| abstract_inverted_index.calculate | 28 |
| abstract_inverted_index.dominated | 142 |
| abstract_inverted_index.evolution | 141 |
| abstract_inverted_index.including | 80 |
| abstract_inverted_index.intrinsic | 82, 169 |
| abstract_inverted_index.introduce | 115 |
| abstract_inverted_index.numerical | 150 |
| abstract_inverted_index.power-law | 77 |
| abstract_inverted_index.relations | 154 |
| abstract_inverted_index.consistent | 134 |
| abstract_inverted_index.integrated | 30 |
| abstract_inverted_index.literature | 58 |
| abstract_inverted_index.relations, | 79, 122 |
| abstract_inverted_index.subsamples | 92 |
| abstract_inverted_index.differences | 110 |
| abstract_inverted_index.experiment. | 18 |
| abstract_inverted_index.literature. | 106 |
| abstract_inverted_index.observables | 52, 89 |
| abstract_inverted_index.predictions | 148 |
| abstract_inverted_index.significant | 116 |
| abstract_inverted_index.subsamples, | 130 |
| abstract_inverted_index.subsamples. | 185 |
| abstract_inverted_index.temperature | 63 |
| abstract_inverted_index.intracluster | 41 |
| abstract_inverted_index.measurements | 6 |
| abstract_inverted_index.particularly | 123 |
| abstract_inverted_index.self-similar | 137 |
| abstract_inverted_index.simulations, | 151 |
| abstract_inverted_index.gravitational | 144 |
| abstract_inverted_index.Comptonization | 31 |
| abstract_inverted_index.normalization. | 126 |
| abstract_inverted_index.Sunyaev–Zel'dovich | 3 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5076836518 |
| countries_distinct_count | 7 |
| institutions_distinct_count | 33 |
| corresponding_institution_ids | https://openalex.org/I188538660, https://openalex.org/I4210114008, https://openalex.org/I5023651 |
| citation_normalized_percentile.value | 0.82805105 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |