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Unfolding algorithms and tests using RooUnfold · Around

2011

Unfolding algorithms and tests using RooUnfold

Adye, Tim

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Understand

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.

Built on

G. D’Agostini, “A Multidimensional unfolding method based on Bayes’ theorem”, Nucl. Instrum. Meth. A 362
1995
Earlier work this paper cites.
A. Hocker and V. Kartvelishvili, “SVD Approach to Data Unfolding”, Nucl. Instrum. Meth. A 372
1996
Earlier work this paper cites.

Similar

R. Brun and F. Rademakers, “ROOT: An object oriented data analysis framework”, Nucl. Instrum. Meth. A 389
1997
Cited alongside, same era.
K. Bierwagen, “Bayesian Unfolding”, presented at PHYSTAT 2011 (CERN, Geneva, January 2011), to be published in a CERN Yellow Report
2011
Cited alongside, same era.
The RooUnfold package and documentation are available from http://hepunx.rl.ac.uk/~adye/software/unfold/RooUnfold.html
Cited in the paper.
The TUnfold package is available in ROOT [ 8 ] and documented in http://www.desy.de/~sschmitt/tunfold.html
Cited in the paper.
For details of the Unfolding Framework Project, see https://www.wiki.terascale.de/index.php/Unfolding_Framework_Project
Original
Cited in the paper.

Then

V. Kartvelishvili, “Unfolding with SVD”, presented at PHYSTAT 2011 (CERN, Geneva, January 2011), to be published in a CERN Yellow Report
2011
Closest in time.
K. Tackmann, “SVD-based unfolding: implementation and experience”, presented at PHYSTAT 2011 (CERN, Geneva, January 2011), to be published in a CERN Yellow Report
2011
Closest in time.

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