Stellar mass–halo mass relation for the brightest central galaxies of X-ray clusters since z ∼ 0.65 Article Swipe
YOU?
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· 2019
· Open Access
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· DOI: https://doi.org/10.1051/0004-6361/201935375
We present the brightest cluster galaxies (BCGs) catalog for SPectroscoic IDentification of eROSITA Sources (SPIDERS) DR14 cluster program value-added catalog. We list the 416 BCGs identified as part of this process, along with their stellar mass, star formation rates (SFRs), and morphological properties. We identified the BCGs based on the available spectroscopic data from SPIDERS and photometric data from SDSS. We computed stellar masses and SFRs of the BCGs on the basis of SDSS, WISE, and GALEX photometry using spectral energy distribution fitting. Morphological properties for all BCGs were derived by Sersic profile fitting using the software package SIGMA in different optical bands ( g , r , i ). We combined this catalog with the BCGs of galaxy groups and clusters extracted from the deeper AEGIS, CDFS, COSMOS, XMM-CFHTLS, and XMM-XXL surveys to study the stellar mass–halo mass relation using the largest sample of X-ray groups and clusters known to date. This result suggests that the mass growth of the central galaxy is controlled by the hierarchical mass growth of the host halo. We find a strong correlation between the stellar mass of BCGs and the mass of their host halos. This relation shows no evolution since z ∼ 0.65. We measure a mean scatter of 0.21 and 0.25 for the stellar mass of BCGs in a given halo mass at low (0.1 < z < 0.3) and high (0.3 < z < 0.65) redshifts, respectively. We further demonstrate that the BCG mass is covariant with the richness of the host halos in the very X-ray luminous systems. We also find evidence that part of the scatter between X-ray luminosity and richness can be reduced by considering stellar mass as an additional variable.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1051/0004-6361/201935375
- https://www.aanda.org/articles/aa/pdf/2019/11/aa35375-19.pdf
- OA Status
- hybrid
- Cited By
- 29
- References
- 118
- Related Works
- 10
- OpenAlex ID
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- OpenAlex ID
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https://openalex.org/W2965478556Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1051/0004-6361/201935375Digital Object Identifier
- Title
-
Stellar mass–halo mass relation for the brightest central galaxies of X-ray clusters since z ∼ 0.65Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-08-05Full publication date if available
- Authors
-
G. Erfanianfar, A. Finoguenov, K Furnell, P. Popesso, A. Biviano, Stijn Wuyts, C. A. Collins, M. Mirkazemi, Johan Comparat, Habib G. Khosroshahi, K. Nandra, R. Capasso, E. S. Rykoff, David J. Wilman, A. Merloni, N. Clerc, M. Salvato, J. Ider Chitham, L. S. Kelvin, G. Gozaliasl, Anne-Marie Weijmans, Joel R. Brownstein, Eiichi Egami, M. J. Pereira, Donald P. Schneider, C. C. Kirkpatrick, S. Damsted, A KukkolaList of authors in order
- Landing page
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https://doi.org/10.1051/0004-6361/201935375Publisher landing page
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https://www.aanda.org/articles/aa/pdf/2019/11/aa35375-19.pdfDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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hybridOpen access status per OpenAlex
- OA URL
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https://www.aanda.org/articles/aa/pdf/2019/11/aa35375-19.pdfDirect OA link when available
- Concepts
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Astrophysics, Halo, Galaxy, Physics, Relation (database), Stellar mass, Astronomy, Star formation, Computer science, DatabaseTop concepts (fields/topics) attached by OpenAlex
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29Total citation count in OpenAlex
- Citations by year (recent)
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2025: 3, 2024: 2, 2023: 2, 2022: 6, 2021: 6Per-year citation counts (last 5 years)
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118Number 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.XMM-XXL | 131 |
| abstract_inverted_index.between | 179, 268 |
| abstract_inverted_index.catalog | 7, 113 |
| abstract_inverted_index.central | 161 |
| abstract_inverted_index.cluster | 4, 16 |
| abstract_inverted_index.derived | 89 |
| abstract_inverted_index.eROSITA | 12 |
| abstract_inverted_index.fitting | 93 |
| abstract_inverted_index.further | 238 |
| abstract_inverted_index.largest | 142 |
| abstract_inverted_index.measure | 202 |
| abstract_inverted_index.optical | 101 |
| abstract_inverted_index.package | 97 |
| abstract_inverted_index.present | 1 |
| abstract_inverted_index.profile | 92 |
| abstract_inverted_index.program | 17 |
| abstract_inverted_index.reduced | 275 |
| abstract_inverted_index.scatter | 205, 267 |
| abstract_inverted_index.stellar | 34, 62, 136, 181, 212, 278 |
| abstract_inverted_index.surveys | 132 |
| abstract_inverted_index.catalog. | 19 |
| abstract_inverted_index.clusters | 121, 148 |
| abstract_inverted_index.combined | 111 |
| abstract_inverted_index.computed | 61 |
| abstract_inverted_index.evidence | 262 |
| abstract_inverted_index.fitting. | 82 |
| abstract_inverted_index.galaxies | 5 |
| abstract_inverted_index.luminous | 257 |
| abstract_inverted_index.process, | 30 |
| abstract_inverted_index.relation | 139, 193 |
| abstract_inverted_index.richness | 248, 272 |
| abstract_inverted_index.software | 96 |
| abstract_inverted_index.spectral | 79 |
| abstract_inverted_index.suggests | 154 |
| abstract_inverted_index.systems. | 258 |
| abstract_inverted_index.(SPIDERS) | 14 |
| abstract_inverted_index.available | 50 |
| abstract_inverted_index.brightest | 3 |
| abstract_inverted_index.covariant | 245 |
| abstract_inverted_index.different | 100 |
| abstract_inverted_index.evolution | 196 |
| abstract_inverted_index.extracted | 122 |
| abstract_inverted_index.formation | 37 |
| abstract_inverted_index.variable. | 283 |
| abstract_inverted_index.additional | 282 |
| abstract_inverted_index.controlled | 164 |
| abstract_inverted_index.identified | 25, 44 |
| abstract_inverted_index.luminosity | 270 |
| abstract_inverted_index.photometry | 77 |
| abstract_inverted_index.properties | 84 |
| abstract_inverted_index.redshifts, | 235 |
| abstract_inverted_index.XMM-CFHTLS, | 129 |
| abstract_inverted_index.considering | 277 |
| abstract_inverted_index.correlation | 178 |
| abstract_inverted_index.demonstrate | 239 |
| abstract_inverted_index.mass–halo | 137 |
| abstract_inverted_index.photometric | 56 |
| abstract_inverted_index.properties. | 42 |
| abstract_inverted_index.value-added | 18 |
| abstract_inverted_index.SPectroscoic | 9 |
| abstract_inverted_index.distribution | 81 |
| abstract_inverted_index.hierarchical | 167 |
| abstract_inverted_index.Morphological | 83 |
| abstract_inverted_index.morphological | 41 |
| abstract_inverted_index.respectively. | 236 |
| abstract_inverted_index.spectroscopic | 51 |
| abstract_inverted_index.IDentification | 10 |
| cited_by_percentile_year.max | 99 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 7 |
| institutions_distinct_count | 28 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.93346724 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |