We discuss the conditions under which Scan Statistics (SS) can be fruitfully implemented to signal a departure from the underlying probability model that describes the experimental data. It is shown that local perturbations ("bumps" or "excesses" of events) are better dealt within this framework and in general, tests based on these statistics provide a powerful and unbiased alternative to the traditional techniques related with the χ2 and Kolmogorov distributions. Approximate formulas for the computation of SS in the range of interest for high energy and nuclear physics applications are also presented. © 2003 Elsevier B.V. All rights reserved.
Terranova, F. (2004). Peak finding through scan statistics. NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH. SECTION A, ACCELERATORS, SPECTROMETERS, DETECTORS AND ASSOCIATED EQUIPMENT, 519(3), 659-666 [10.1016/j.nima.2003.10.091].
Peak finding through scan statistics
TERRANOVA, FRANCESCO
2004
Abstract
We discuss the conditions under which Scan Statistics (SS) can be fruitfully implemented to signal a departure from the underlying probability model that describes the experimental data. It is shown that local perturbations ("bumps" or "excesses" of events) are better dealt within this framework and in general, tests based on these statistics provide a powerful and unbiased alternative to the traditional techniques related with the χ2 and Kolmogorov distributions. Approximate formulas for the computation of SS in the range of interest for high energy and nuclear physics applications are also presented. © 2003 Elsevier B.V. All rights reserved.
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