A short introduction to Unfolding
This video is our entry to the Annual Review of Nuclear and Particle Science Early Career Video Contest.
Special thanks to Kamil Laurent for lending us recording equipment!
Unfolding is an important tool in many measurements to estimate the true, physical distributions of interest. At the same time it is an advanced statistical method which actual usefulness and problem description oftentimes leads to confused shoulder shrugging of PhD students. In this video we introduce what unfolding is and lay its mathematical foundation. Commonly used methods like TUnfold, Bin-By-Bin correction factors, iterative unfolding, SVD unfold but also new cutting edge machine learning algorithms like Ominfold are contextualised. For anyone wanting to get practical experience on unfolding, we recommend having a look at the RooUnfold tutorials (edu.nl/v3gbu).
This video is created by Lisa Marie Lehmann (PhD candidate @ Nikhef Amsterdam) and Alexandro Martone (PhD student @ L2IT Toulouse).