In this thesis, we present the optical to X-ray scaling relations from the XMM Cluster Survey (XCS) and the red-sequence Matched-filter Probabilistic Percolation cluster finding algorithm (redMaPPer) cluster catalogs. XCS finds galaxy clusters in the XMM-Newton public archive and redMaPPer uses optical data from the Sloan Digital Sky Survey eighth data release (SDSS-DR8) and the Dark Energy Survey first year data release (DES Y1). redMaPPer catalogs provide reliable photometric redshift estimations that have been calibrated with spectroscopic redshifts. The XCS temperature and luminosity pipelines need redshift information to calculate the X-ray observables. We introduced third generation of the XCS Post Processing Pipeline (XCS3P). A description of the previous versions is given, highlighting the modifications made for XCS3P-v3. This methodology was validated by comparing the LX - TX relation obtained from XCS3Pv1, XCS3P-v2 and the current version, the results are similar to XCS3P-v2 finding a self similar evolution. Samples of clusters are defined after several control filters, each cluster has optical and X-ray follow up, the sample has 327 unique clusters that span a redshift range of 0:08 < z < 0:8. Optical to X-ray scaling relations are obtained for the samples XCS-RM (SDSS DR8), XCS-RM (DES Y1) and XCS-RM (SDSS+DES Y1). Obtaining as a result, the most comprehensive examination of the TX - λ and LX - λ relations up to date, showing a clear correlation between the observables. This work confirms that it is possible to relate optical properties with the underlying mass. Cluster observables like the X-ray temperature, X-ray luminosity and the optical richness are well known mass tracers. The XCS3P-v3 methodology and the process followed to obtain the scaling relations are validated using four non-redMaPPer cluster catalogs, two from the optical (CAMIRA and GMBCG) and two from the millimiter (SPT and Planck). The results show a clear correlation between X-ray and optical and millimeter observables. This analysis is not a robust as for redMaPPer, thus further work is needed to present this results to the scientific community.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:731242 |
| Date | January 2017 |
| Creators | Bermeo-Hernandez, Alberto |
| Publisher | University of Sussex |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://sro.sussex.ac.uk/id/eprint/72035/ |
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