Blind background prediction using a bifurcated analysis scheme
J. Nix, J. Ma, G.N. Perdue, Y.W. Wah

TL;DR
This paper introduces a background prediction method that uses data with a bifurcated analysis scheme, applicable to multiple sources and correlated cuts, demonstrated on a toy model and a rare kaon decay experiment.
Contribution
The paper presents a novel bifurcated analysis technique for background prediction that maintains a closed signal region and handles multiple background sources.
Findings
Effective background prediction in toy model and real data
Applicable to multiple background sources with correlated cuts
Maintains a closed signal box during analysis
Abstract
A technique for background prediction using data, but maintaining a closed signal box is described. The result is extended to two background sources. Conditions on the applicability under correlated cuts are described. This technique is applied to both a toy model and an analysis of data from a rare neutral kaon decay experiment.
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Taxonomy
TopicsImage and Signal Denoising Methods · Video Surveillance and Tracking Methods · Image Processing Techniques and Applications
