Spectrometer Calibration by Expectation Maximization Method

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dc.creatorYuan, Lulin
dc.date2005-12-14
dc.date.accessioned2026-07-07T06:56:14Z
dc.date.available2026-07-07T06:56:14Z
dc.descriptionExpectation Maximization (EM) algorithm is a parameter estimation method from incomplete observations. In this paper, an implementation of this method to the calibration of HKS spectrometer at Jefferson Lab is described. We show that the application of EM method is able to calibrate the spectrometer properly in the presence of high background noise, while the traditional nonlinear Least Square method fail. The preliminary results of HKS spectrometer calibration is presented.
dc.description8 pages, 4 figures
dc.identifierhttps://arxiv.org/abs/physics/0512132
dc.identifierhttp://arxiv.org/abs/physics/0512132
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/106560
dc.subjectData Analysis, Statistics and Probability
dc.subjectInstrumentation and Detectors
dc.titleSpectrometer Calibration by Expectation Maximization Method
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