Kang Wang
Kang's PhD research focuses on extracting gas pressure profiles of galaxy clusters using Bayesian inference.
Physics PhD Student
School of Chemical and Physical Sciences
Profile
My PhD research focuses on Bayesian methods for extracting galaxy cluster gas pressure profiles.
Qualifications
Bachelor of Science (First Class Honours) in Statistics, Te Herenga Waka—Victoria University of Wellington
Master of Science in Statistics (Distinction), Te Herenga Waka—Victoria University of Wellington
Research interests
Bayesian inference, galaxy clusters, the large-scale structure of the universe.
PhD topic
Extracting Gas Pressure Profiles of Galaxy Clusters Using Bayesian Inference
Supervisors
Dr Yvette Perrott, School of Chemical and Physical Sciences
Prof Richard Arnold, School of Mathematics and Statistics
Dr David Huijser, School of Mathematics and Statistics