Collaborative Build of Statistics and Machine Learning Analysis Pipelines for Cosmology and Particle Physics

Anonymous

Keywords: training, Machine Learning, Cosmology, Particle Physics

TL;DR: Students grouped in a “Collaboration” of "Teams" build a stat and ML pipeline to analyse scientific data in a week-long project.

Abstract: In a full-time, week-long project after a Statistics and Machine Learning course, students grouped in “Collaborations” of Teams build pipelines to analyse scientific data: to prove the existence of the Higgs boson from the Large Hadron Collider data or Dark Energy from supernova surveys. They have the opportunity to implement together a variety of tools and concepts from physics, data processing, Statistics and Machine Learning, borrowed from the course, earlier training or resources from the Internet.