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Confidence Level Computation for Combining Searches with Small Statistics

This article describes an efficient procedure for computing approximate confidence levels for searches for new particles where the expected signal and background levels are small enough to require the use of Poisson statistics. The results of many independent searches for the same particle may be co...

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Autor principal: Junk, Thomas
Lenguaje:eng
Publicado: 1999
Materias:
Acceso en línea:https://dx.doi.org/10.1016/S0168-9002(99)00498-2
http://cds.cern.ch/record/378576
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author Junk, Thomas
author_facet Junk, Thomas
author_sort Junk, Thomas
collection CERN
description This article describes an efficient procedure for computing approximate confidence levels for searches for new particles where the expected signal and background levels are small enough to require the use of Poisson statistics. The results of many independent searches for the same particle may be combined easily, regardless of the discriminating variables which may be measured for the candidate events. The effects of systematic uncertainty in the signal and background models are incorporated in the confidence levels. The procedure described allows efficient computation of expected confidence levels.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 1999
record_format invenio
spelling cern-3785762020-07-30T03:08:41Zdoi:10.1016/S0168-9002(99)00498-2http://cds.cern.ch/record/378576engJunk, ThomasConfidence Level Computation for Combining Searches with Small StatisticsDetectors and Experimental TechniquesThis article describes an efficient procedure for computing approximate confidence levels for searches for new particles where the expected signal and background levels are small enough to require the use of Poisson statistics. The results of many independent searches for the same particle may be combined easily, regardless of the discriminating variables which may be measured for the candidate events. The effects of systematic uncertainty in the signal and background models are incorporated in the confidence levels. The procedure described allows efficient computation of expected confidence levels.This article describes an efficient procedure for computing approximate confidence levels for searches for new particles where the expected signal and background levels are small enough to require the use of Poisson statistics. The results of many independent searches for the same particle may be combined easily, regardless of the discriminating variables which may be measured for the candidate events. The effects of systematic uncertainty in the signal and background models are incorporated in the confidence levels. The procedure described allows efficient computation of expected confidence levels.hep-ex/9902006CARLETON-OPAL-PHYS-99-01CERN-EP-99-041CARLETON-OPAL-PHYS-99-01CERN-EP-99-041oai:cds.cern.ch:3785761999-02-08
spellingShingle Detectors and Experimental Techniques
Junk, Thomas
Confidence Level Computation for Combining Searches with Small Statistics
title Confidence Level Computation for Combining Searches with Small Statistics
title_full Confidence Level Computation for Combining Searches with Small Statistics
title_fullStr Confidence Level Computation for Combining Searches with Small Statistics
title_full_unstemmed Confidence Level Computation for Combining Searches with Small Statistics
title_short Confidence Level Computation for Combining Searches with Small Statistics
title_sort confidence level computation for combining searches with small statistics
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1016/S0168-9002(99)00498-2
http://cds.cern.ch/record/378576
work_keys_str_mv AT junkthomas confidencelevelcomputationforcombiningsearcheswithsmallstatistics