CERN Accelerating science

Article
Report number	arXiv:1105.1160
Title	Unfolding algorithms and tests using RooUnfold
Author(s)	Adye, Tim (Rutherford)
Publication	Geneva : CERN, 2011
Imprint	06 May 2011
Number of pages	6
Note	Comments: 6 pages, 5 figures, presented at PHYSTAT 2011, CERN, Geneva, Switzerland, January 2011, to be published in a CERN Yellow Report
In:	Proceedings of the PHYSTAT 2011 Workshop on Statistical Issues Related to Discovery Claims in Search Experiments and Unfolding, pp.313-318
DOI	10.5170/CERN-2011-006.313
Subject category	Other Fields of Physics
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.
Copyright/License	publication: © 2011-2025 CERN (License: CC-BY-3.0)

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