The Measurement Control Of The γ Radial And Data Analysis

Firstly, simple description the foundation theories of theγradiation measurementand its related knowledges. The nine instruments index of theγradiation detector isemphasized in order to correspond the new instrument stability index that argue inchapter 5.Secondly, described the statistic basal theories and the error margintheorieses and data processing. Through analyse the statistics that used in radiationmeasurement,we find some problems are exist in theγradiation measurement and itsdata processing.Finally, aim at the existent problem, introduce the latest error margintheories and data processing theories to carry on resolve to the existent problem.This aiticle detailed discussed the data quantity definition and its degree oflatitudes. Analyzing the main aspect of the radiation measurement data requested sothat to introduce the statistics process control tools—Control chart and Process abilityindex number. According to the datas that measured theγradiation in daily,wediscover the traditional statistics process control tools can't satisfy the real practiceenough. Combine the basic thought of add the power Sigma method, we put forwardthe new (?)-R control chart base on the sample data probability distributions andcompute the constants of the new (?)-R control chart. According to the definition of the process ability index number, we construct the new radiation measurement abilityindex number to suit the real practice. Through actual datas test the new (?)-Rcontrol chart base on the sample data probability distributions and the radiationmeasurement ability index number can do well than the its before, the new (?)-Rcontrol chart base on the sample data probability distributions can advance to appearand send out the early-warning information about the unqualified data, effectivelyavoided the mistakes—fail to report and wrong deliver. The radiation measurementability index number measured the instrument more truely at the long-term stability inthe process when it is used in daily.Discover the existing problems of the experimental uncertainty in radiationmeasurement,we introduce the Gray system theories because of its characteristics ofno request to the sample data probability distributions and small sample datas. Fromthe great quantities numbers that measure in daily to compute a constant of the Graysystem theories. Passing the verification of the actual data,we find the Gray systemtheories constant do well not only in the large sample datas but also in the smallsample datas. Contrast the results that calculate in the Gray system theories, we caneasily draw the conclusion that the Gray system theories results is more effective thanthe results based on the poisson probability distribution.Primary compute the mathematics model that used in an American company'sγradiation measurement instrument by the regression model and give an estimatedregression equation.