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Improved probability method for estimating signal in the presence of background

1998/12/31 by Byron P. Roe, Michael Woodroofe, Michael B. Woodroofe · 1 citation
Computer Science · Engineering · Mathematics · Physics and Astronomy · #Algorithm #Computer science #Detection theory #Detector #Image and Signal Denoising Methods #Infrared Target Detection Methodologies #Mathematics #SIGNAL (programming language) #Statistics #Target Tracking and Data Fusion in Sensor Networks #physics.data-an

paper · pdf · doi:10.1103/physrevd.60.053009

published as Phys.Rev. D60 (1999) 053009 · Modified 12/21 for singlespace to save trees, 9 pages, 1 figure. Modified 8/11/99 to add small modifications made for the Phys. Rev. article

openalex publication_date 1999/08/09 · arxiv created 1999/08/11 · arxiv updated 2009/12/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

A suggestion is made for improving the Feldman-Cousins method of estimating signal counts in the presence of background. The method concentrates on finding essential information about the signal and ignoring extraneous information about background. An appropriate method is found which uses the condition that the number of background events obtained does not exceed the total number of events obtained. Several alternative approaches are explored.

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