From cluster mass calibration to cluster cosmology

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Clusters are an essential part of the Cosmologist's tool box. The Dark Energy Survey hasproduced the best ever cluster catalogue for cosmology. This catalogue is finally ready forscientific exploitation. The student will play a key role in that exploitation, by using X-rayand weak lensing techniques to constrain cluster masses (an essential part of thecosmology pipeline). The project is data intensive in every aspect: from the billions ofgalaxies that make up the cluster catalogue (each galaxy having 20+ data parameters), tothe complexities of the analysis of noisy, time varying, X-ray spectra. Machine learning willbe an integral part of the project, because we need to remove as much of the "human" aspossible to ensure we do not prejudice our results. In the later years of the project, thestudent will naturally transition from the interpretation of data from the Dark Energy Surveyinto the simulation of Large Synoptic Survey Telescope (LSST) data and thus into theforecasting of LSST cluster science outcomes.