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paper

SVD-based unfolding: implementation and experience

arXiv:1112.2226

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.

Presented at PHYSTAT 2011, CERN, Geneva, Switzerland, January 2011, to be published in a CERN Yellow Report