Global Data Analysis in Physics
In preparation · English
Global Data Analysis in Physics
Joint data analysis, measurement precision, parameter degeneracies, systematics, significance and consistency between experiments. Examples from neutrino and particle physics, astrophysics and cosmology.
The lectures and book are in preparation. Teaching materials have not yet been published.
Plan: 16 lectures of 90 minutes, six computational practicals and a final project.
The course builds on DN's course in statistical data analysis.
Course outline
Two bands in parameter space
How data constrain systematic uncertainties
Building a joint likelihood
When an ellipse is not enough
Why combined significance can grow more than expected
Are the experiments consistent with one another?
From oscillation probability to the Daya Bay spectrum
Measuring oscillation parameters with Daya Bay data
What reactor data add to accelerator measurements
Combining channels in particle physics
What supernovae tell us about cosmic expansion
Supernovae and BAO: bringing distance measurements together
Many events and a shared population: gravitational waves
Choosing the next experiment
How robust is the physical conclusion?
Materials
Book
The book is in preparation. No chapters have been published yet.
Problems, code, notebooks and data will accompany the completed lectures.