Unfolding algorithms and tests using RooUnfold
Data Analysis, Statistics and Probability
2011-12-09 v1 High Energy Physics - Experiment
Abstract
The RooUnfold package provides a common framework to evaluate and use different unfolding algorithms, side-by-side. It currently provides implementations or interfaces for the Iterative Bayes, Singular Value Decomposition, and TUnfold methods, as well as bin-by-bin and matrix inversion reference methods. Common tools provide covariance matrix evaluation and multi-dimensional unfolding. A test suite allows comparisons of the performance of the algorithms under different truth and measurement models. Here I outline the package, the unfolding methods, and some experience of their use.
Keywords
Cite
@article{arxiv.1105.1160,
title = {Unfolding algorithms and tests using RooUnfold},
author = {Tim Adye},
journal= {arXiv preprint arXiv:1105.1160},
year = {2011}
}
Comments
6 pages, 5 figures, presented at PHYSTAT 2011, CERN, Geneva, Switzerland, January 2011, to be published in a CERN Yellow Report