1. Chandrameasurements of a complete sample of X-ray luminous galaxy clusters: the luminosity–mass relation
- Author
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David Landry, S. S. Murray, Håkon Dahle, Ben J Maughan, N. van der Pyl, Paul Giles, C. Jones, Marshall Joy, and M. Bonamente
- Subjects
Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Population ,FOS: Physical sciences ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Astrophysics ,01 natural sciences ,law.invention ,Luminosity ,law ,0103 physical sciences ,Cluster (physics) ,clusters: general [galaxies] ,education ,010303 astronomy & astrophysics ,Galaxy cluster ,Luminosity function (astronomy) ,Physics ,education.field_of_study ,010308 nuclear & particles physics ,Astronomy and Astrophysics ,Redshift ,Space and Planetary Science ,Cluster sampling ,galaxies: clusters [X-rays] ,Hydrostatic equilibrium ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
We present the results of work involving a statistically complete sample of 34 galaxy clusters, in the redshift range 0.15$\le$z$\le$0.3 observed with $Chandra$. We investigate the luminosity-mass ($LM$) relation for the cluster sample, with the masses obtained via a full hydrostatic mass analysis. We utilise a method to fully account for selection biases when modeling the $LM$ relation, and find that the $LM$ relation is significantly different than the relation modelled when not account for selection effects. We find that the luminosity of our clusters is 2.2$\pm$0.4 times higher (when accounting for selection effects) than the average for a given mass, its mass is 30% lower than the population average for a given luminosity. Equivalently, using the $LM$ relation measured from this sample without correcting for selection biases would lead to the underestimation by 40% of the average mass of a cluster with a given luminosity. Comparing the hydrostatic masses to mass estimates determined from the $Y_{X}$ parameter, we find that they are entirely consistent, irrespective of the dynamical state of the cluster., 31 pages, 43 figures, accepted for publication in MNRAS
- Published
- 2016