SPIDERS BCGs gri photometry Virtual Observatory Resource

Authors
  1. Furnell K.E.
  2. Collins C.A.
  3. Kelvin L.S.
  4. Clerc N.
  5. Baldry I.K.,Finoguenov A.
  6. Erfanianfar G.
  7. Comparat J.
  8. Schneider D.P.
  9. Published by
    CDS
Abstract

We present a sample of 329 low-to intermediate-redshift (0.05<z<0.3) brightest cluster galaxies (BCGs) in X-ray-selected clusters from the SPectroscopic IDentification of eRosita Sources survey, a spectroscopic survey within Sloan Digital Sky Survey-IV (SDSS-IV). We define our BCGs by simultaneous consideration of legacy X-ray data from ROSAT, maximum-likelihood outputs from an optical cluster-finder algorithm and visual inspection. Using SDSS imaging data, we fit Sersic profiles to our BCGs in three bands (g, r, i) with SIGMA a GALFIT-based software wrapper. We examine the reliability of our fits by running our pipeline on ~10^4^ point spread function-convolved model profiles injected into eight random cluster fields; we then use the results of this analysis to create a robust subsample of 198 BCGs. We outline three cluster properties of interest: overall cluster X-ray luminosity (L_X_), cluster richness as estimated by REDMAPPER ({lambda}),and cluster halo mass (M_200_), which is estimated via velocity dispersion. In general, there are significant correlations with BCG stellar mass between all three environmental properties, but no significant trends arise with either Sersic index or effective radius. There is no major environmental dependence on the strength of the relation between effective radius and BCG stellar mass. Stellar mass therefore arises as the most important factor governing BCG morphology. Our results indicate that our sample consists of a large number of relaxed, mature clusters containing broadly homogeneous BCGs up to z~0.3, suggesting that there is little evidence for much ongoing structural evolution for BCGs in these systems.

Keywords
  1. galaxy-clusters
  2. redshifted
  3. visible-astronomy
  4. sloan-photometry
  5. galaxy-kinematics
  6. galaxy-classification-systems
Bibliographic source Bibcode
2018MNRAS.478.4952F
See also HTML
https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/478/4952
IVOA Identifier IVOID
ivo://CDS.VizieR/J/MNRAS/478/4952
Document Object Identifer DOI
doi:10.26093/cds/vizier.74784952

Access

Web browser access HTML
http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/478/4952
https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/MNRAS/478/4952
http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/MNRAS/478/4952
IVOA Table Access TAP
http://tapvizier.cds.unistra.fr/TAPVizieR/tap
Run SQL-like queries with TAP-enabled clients (e.g., TOPCAT).
IVOA Cone Search SCS
For use with a cone search client (e.g., TOPCAT).
http://vizier.cds.unistra.fr/viz-bin/conesearch/J/MNRAS/478/4952/tablec1?
https://vizier.iucaa.in/viz-bin/conesearch/J/MNRAS/478/4952/tablec1?
http://vizieridia.saao.ac.za/viz-bin/conesearch/J/MNRAS/478/4952/tablec1?

History

2021-12-10T14:48:59Z
Resource record created
2021-12-10T14:48:59Z
Created
2024-08-18T20:20:18Z
Updated

Contact

Name
CDS support team
Postal Address
CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France
E-Mail
cds-question@unistra.fr