SIMBAD references

2013MNRAS.436..275W - Mon. Not. R. Astron. Soc., 436, 275-293 (2013/November-3)

Substructure and dynamical state of 2092 rich clusters of galaxies derived from photometric data.

WEN Z.L. and HAN J.L.

Abstract (from CDS):

Dynamical state of galaxy clusters is closely related to their observational properties in X-ray, optical and radio wavelengths. We develop a method to diagnose the substructure and dynamical state of galaxy clusters by using photometric data of Sloan Digital Sky Survey (SDSS). To trace mass distribution, the brightness distribution of member galaxies is smoothed by using a Gaussian kernel with a weight of their optical luminosities. After deriving the asymmetry, the ridge flatness and the normalized deviation of the smoothed optical map, we define a relaxation parameter, Γ, to quantify dynamical state of clusters. This method is applied to a test sample of 98 clusters of 0.05 < z ≲ 0.42 collected from literature with known dynamical states and can recognize dynamical state for relaxed (Γ ≥ 0) and unrelaxed (Γ < 0) clusters with a success rate of 94 percent. We then calculate relaxation parameters of 2092 rich clusters previously identified from the SDSS, of which 28 percent clusters are dynamically relaxed with Γ ≥ 0. We find that the dominance and absolute magnitude of the brightest cluster galaxies closely correlate with dynamical states of clusters. The emission power of radio haloes is quantitatively related to cluster dynamical state, beside the known dependence on the X-ray luminosity.

Abstract Copyright: © 2013 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society (2013)

Journal keyword(s): galaxies: clusters: general

VizieR on-line data: <Available at CDS (J/MNRAS/436/275): table2.dat>

Status at CDS : All or part of tables of objects could be ingested in SIMBAD with priority 2.

Simbad objects: 132

goto Full paper

goto View the references in ADS

To bookmark this query, right click on this link: simbad:2013MNRAS.436..275W and select 'bookmark this link' or equivalent in the popup menu


© Université de Strasbourg/CNRS

    • Contact