6533b85bfe1ef96bd12bbd87
RESEARCH PRODUCT
Background subtraction and peak search from threefold gamma event data
A. LampinenJ. Junikkasubject
Data setPhysicsNuclear and High Energy PhysicsBackground subtractionNoiseEvent databusiness.industryPattern recognitionArtificial intelligenceCluster analysisbusinessInstrumentationIntensity (physics)description
Abstract A method for subtracting background from triple-coincidence γ events is presented. In our data set it was used to remove 40% of the noise without affecting photopeaks with intensity of >18 counts. An example of performance of Ward's clustering algorithm applied to three-dimensional photopeak searching is also presented. Several standard clustering algorithms were found to be applicable only to background-subtracted data.
year | journal | country | edition | language |
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1990-07-01 | Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment |