This course provides realistic, contemporary examples of how computational methods apply to physics research. Topics include hypothesis testing, semi-parameteric methods, and deep learning. In the Final Project, you will analyze LHC data to measure properties of the W boson and Z boson.
Overview
Syllabus
- Hypothesis testing
- f-test
- t-test
- Likelihood ratios
- Semiparametric methods
- Splines
- Convolutions
- Deep Learning Discrimination
- Deep Learning Regression
- Collider Data Analysis
- Higgs boson
Taught by
Philip Harris, Isaac Chuang, Jesse Thaler, and Alex Shvonski
