SVD-based unfolding: implementation and experience
Kerstin Tackmann, Andreas Hoecker
TL;DR
This paper introduces a new ROOT-based implementation of the SVD unfolding method for measured spectra, reflecting on its practical application during early LHC data analysis.
Contribution
It presents a novel implementation of the SVD unfolding algorithm and shares practical insights from its application in LHC data analysis.
Findings
Successful application of SVD unfolding in LHC data analysis
Implementation improves efficiency and usability of unfolding methods
Provides practical guidance for future analyses
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.
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Taxonomy
TopicsParticle physics theoretical and experimental studies · Particle Detector Development and Performance · Distributed and Parallel Computing Systems