Confidence level estimation and analysis optimization
A. Favara, M. Pieri
TL;DR
This paper introduces a method to optimize analysis sensitivity in searches and cross section measurements by estimating confidence levels and analyzing the process.
Contribution
The paper presents a novel method for confidence level estimation that enhances analysis sensitivity in experimental measurements.
Findings
Improved sensitivity in search analyses.
Enhanced accuracy in cross section measurements.
Method applicable to various experimental contexts.
Abstract
This note proposes a method, which can be applied to searches and more in general to any cross section measurement, to maximize the analysis sensitivity.
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Taxonomy
TopicsAdvanced Measurement and Metrology Techniques · Structural Health Monitoring Techniques