Crispin Logan

Research Fellow

 

Main Research Fields

I am interested in measuring the masses of Galaxy Clusters, primarily using X-ray data. I spent a large part of my PhD using a traditional forward-modelling approach to obtain X-ray cluster mass estimates, and am currently investigating the use of machine learning to predict cluster masses from X-ray data.

I am also part of the Euclid consortium, and am interested in applying machine learning techniques to classify astrophysical objects and predict galaxy properties from photometric data.


Keywords

Galaxy Clusters

Cosmology 

Large Scale Structure

Machine Learning

Bayesian Statistics

Ongoing collaborations

Euclid Consortium

XXL Survey