2011/12/09 by K. Tackmann, Kerstin Tackmann, A. Hoecker +3 · 1 citation
Computer Science · Physics and Astronomy · #Data Analysis #Distributed and Parallel Computing Systems #FOS: Physical sciences #Particle Detector Development and Performance #Particle physics theoretical and experimental studies #Statistics and Probability (physics.data-an) #physics.data-an
paper · pdf · doi:10.48550/arxiv.1112.2226
Presented at PHYSTAT 2011, CERN, Geneva, Switzerland, January 2011, to be published in a CERN Yellow Report
arxiv created 2011/12/09 · openalex publication_date 2011/12/09 · arxiv updated 2011/12/13 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.