The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
The Evolution of X-Ray Clusters of Galaxies
Open accessAbstract
▪ Abstract Considerable progress has been made over the past decade in the study of the evolutionary trends of the population of galaxy clusters in the Universe. In this review we focus on observations in the X-ray band. X-ray surveys with the ROSAT satellite, supplemented by follow-up studies with ASCA and Beppo-SAX, have allowed an assessment of the evolution of the space density of clusters out to z ≈ 1 and the evolution of the physical properties of the intracluster medium out to z ≈ 0.5. With the advent of Chandra and Newton-XMM and their unprecedented sensitivity and angular resolution, these studies have been extended beyond redshift unity and have revealed the complexity of the thermodynamical structure of clusters. The properties of the intracluster gas are significantly affected by nongravitational processes including star formation and Active Galactic Nuclei (AGN) activity. Convincing evidence has emerged for modest evolution of both the bulk of the X-ray cluster population and their thermodynamical properties since redshift unity. Such an observational scenario is consistent with hierarchical models of structure formation in a flat low-density universe with Ω m ≃ 0.3 and σ 8 ≃ 0.7–0.8 for the normalization of the power spectrum. Basic methodologies for construction of X-ray–selected cluster samples are reviewed, and implications of cluster evolution for cosmological models are discussed.
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The Sloan Digital Sky Survey: Technical Summary
York, D. G., Adelman, J., Anderson, Jr., Anderson, S. F., Annis, J., Bahcall, N. A., Bakken, J. A., Barkhouser, R., Bastian, S., Berman, E., et al. (2000) · The Astronomical Journal · doi:10.1086/301513 · Cited by 10,366
Formation of Galaxies and Clusters of Galaxies by Self-Similar Gravitational Condensation
Press, W. H., & Schechter, P. (1974) · The Astrophysical Journal · doi:10.1086/152650 · Cited by 4,916
(1990) · Cited by 4,363
The statistics of peaks of Gaussian random fields
Bardeen, J. M., Bond, J. R., Kaiser, N., & Szalay, A. S. (1986) · The Astrophysical Journal · doi:10.1086/164143 · Cited by 3,270
Large-scale bias and the peak background split
Sheth, R. K., & Tormen, G. (1999) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.1999.02692.x · Cited by 2,783
Statistical Properties of X‐Ray Clusters: Analytic and Numerical Comparisons
Bryan, G. L., & Norman, M. L. (1998) · The Astrophysical Journal · doi:10.1086/305262 · Cited by 2,295
Sheth, R. K., Mo, H. J., & Tormen, G. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04006.x · Cited by 1,807
The mass function of dark matter haloes
Jenkins, A., Frenk, C. S., White, S. D. M., Colberg, J. M., Cole, S., Evrard, A. E., Couchman, H. M. P., & Yoshida, N. (2001) · Monthly Notices of the Royal Astronomical Society · doi:10.1046/j.1365-8711.2001.04029.x · Cited by 1,659
Carroll, S. M., Press, W. H., & Turner, E. L. (1992) · Annual Review of Astronomy and Astrophysics · doi:10.1146/annurev.aa.30.090192.002435 · Cited by 1,542
A catalog of rich clusters of galaxies
Abell, G. O., Corwin, H. G., Jr., & Olowin, R. P. (1989) · The Astrophysical Journal Supplement Series · doi:10.1086/191333 · Cited by 1,398
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The eROSITA X-ray telescope on SRG
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Prediction of galaxy halo masses in SDSS DR7 via a machine learning approach
Calderon, V. F., & Berlind, A. A. (2019) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stz2775 · Cited by 48
Metadata
- Authors
- Rosati, P., Borgani, S., & Norman, C.
- Venue
- Annual Review of Astronomy and Astrophysics
- Publisher
- Annual Reviews
- Published
- 2002-09
- Volume
- 40
- Issue
- 1
- Pages
- 539-577
- ISSN
- 0066-4146 (ISSN-L)
- 1545-4282
- OpenAlex
- W2145339943
- Cited by
- 482
- References
- 126
- FWCI
- 3.29
- Type
- journal article
- Language
- en
- Open access
- green
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