English

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

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