SVD-based unfolding: implementation and experience
Data Analysis, Statistics and Probability
2011-12-13 v1
Abstract
With the first year of data taking at the LHC by the experiments, unfolding methods for measured spectra are reconsidered with much interest. Here, we present a novel ROOT-based implementation of the Singular Value Decomposition approach to data unfolding, and discuss concrete analysis experience with this algorithm.
Cite
@article{arxiv.1112.2226,
title = {SVD-based unfolding: implementation and experience},
author = {Kerstin Tackmann and Andreas Hoecker},
journal= {arXiv preprint arXiv:1112.2226},
year = {2011}
}
Comments
Presented at PHYSTAT 2011, CERN, Geneva, Switzerland, January 2011, to be published in a CERN Yellow Report