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Data Analysis for Physics

Course Introduction
Probability Theory
Important Probability Distributions
Theory of Estimators
Estimating Probability Density from Data
Statistics and Sources of Uncertainty
Frequentist and Bayesian Methods
Project 01
Stochastic Processes, Markov Chains & Variational Inference
Confidence Intervals and Hypothesis Testing
Fourier methods
Response, Convolution and Unfolding
Time Series
Project 02
Monte Carlo and Sampling Methods
Bias and Blind Analysis
- Slides
- Bias and Blind Analysis
Machine Learning Methods
- Slides
- Deep Learning

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Project 01

Contents

Select from one of the following projects (due Nov 4):

Project 01#

Select from one of the following projects (due Nov 4):#

Searching for Exotic Particles
Galaxy Zoo
Higgs Boson Decaying to Tau Leptons
Nuclear Geometry and Characterization of the Quark Gluon Plasma
Tornadoes
Networking

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Homework 07: Bayesian Statistics and MCMC

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Higgs Boson Decaying to Tau Leptons

Contents

Select from one of the following projects (due Nov 4):

By Mark Neubauer

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