DEEPLEARNPHYSICS

We are a group of experimental particle physicists interested in the application of modern machine learning (ML) techniques to analyze experimental physics data. Our research focus include geometrical pattern recognition for particle imaging detectors, understanding data/simulation discrepancies in algorithm response, and estimating uncertainties in ML applications... We are keen to share our work in public. You can find our active software development in public github repository, and we make most of our data available in public. We take open-software and open-data effort seriously to make our work as much transparent and reproducible as possible. We also share our experience and interesting findings on our blog post and our weekly group meetings... Our group consists of physicists at many levels (students, post-docs, lab scientists and faculties) and we are keen to share development effort in all aspects of the research, from software tools and algorithms to high level physics..

Also known as: DeepLearnPhysics Group