An Iterative, Dynamically Stabilized(IDS) Method of Data Unfolding
Data Analysis, Statistics and Probability
2014-04-29 v1 High Energy Physics - Experiment
Abstract
We describe an iterative unfolding method for experimental data, making use of a regularization function. The use of this function allows one to build an improved normalization procedure for Monte Carlo spectra, unbiased by the presence of possible new structures in data. We unfold, in a dynamically stable way, data spectra which can be strongly affected by fluctuations in the background subtraction and simultaneously reconstruct structures which were not initially simulated.
Cite
@article{arxiv.1106.3107,
title = {An Iterative, Dynamically Stabilized(IDS) Method of Data Unfolding},
author = {Bogdan Malaescu},
journal= {arXiv preprint arXiv:1106.3107},
year = {2014}
}
Comments
5 pages, 2 figures, presented at PHYSTAT 2011, CERN, Geneva, Switzerland, January 2011, to be published in a CERN Yellow Report