Abstract / Description of output
We introduce the Gaussian Mixture full Photometric Red sequence Cluster
Characteriser (GMPhoRCC), an algorithm for determining the redshift and
richness of a galaxy cluster candidate. By using data from a multi-band
sky survey with photometric redshifts, a red sequence colour magnitude
relation (CMR) is isolated and modelled and used to characterise the
optical properties of the candidate. GMPhoRCC provides significant
advantages over existing methods including, treatment of multi-modal
distributions, variable width full CMR red sequence, richness
extrapolation and quality control in order to algorithmically identify
catastrophic failures. We present redshift comparisons for clusters from
the GMBCG, NORAS, REFLEX and XCS catalogues, where the GMPhoRCC
estimates are in excellent agreement with spectra, showing accurate,
unbiased results with low scatter ($\sigma_{\delta z / (1+z)} \sim
0.014$). We conclude with the evaluation of GMPhoRCC performance using
empirical Sloan Digital Sky Survey (SDSS) like mock galaxy clusters.
GMPhoRCC is shown to produce highly pure characterisations with very low
probabilities ($
Original language | English |
---|---|
Journal | Monthly Notices of the Royal Astronomical Society |
DOIs | |
Publication status | Published - 21 Apr 2017 |
Keywords / Materials (for Non-textual outputs)
- Astrophysics - Cosmology and Nongalactic Astrophysics
Fingerprint
Dive into the research topics of 'Characterising the optical properties of galaxy clusters with GMPhoRCC'. Together they form a unique fingerprint.Profiles
-
Bob Mann
- School of Physics and Astronomy - Personal Chair in Survey Astronomy
Person: Academic: Research Active