Chapter 3 Counting Statistics And Error Prediction

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Counting Statistics and Error Prediction. Counting Statistics and Error Prediction Optimizing counting time. S = (net) source count rate.

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error can one conclude that predictions are the problem. Even when. ter 3. Chapter 4 introduces the joint probability distribution for multiple ran- dom variables and. plying “square root statistics” or “counting statistics,” whereby a Poisson-.

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Counting Statistics and Error Prediction Applications 1- Match experiment to model • Assume a specific distribution (Poisson, Gaussian). x =xe (all what we need)

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Counting Statistics and Error Prediction. Mittuniversitetet Outline • Characterization of data • Statistical models • Error propagation. 3.x 4…….x N

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Counting Statistics and Error Propagation – Oct 4, 2011. followed by predicting or forecasting future events. – Descriptive. 3. Basics Science: Nuclear Counting Statistics & Error Propagation.

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Counting Statistics and Error Prediction Mean value of multiple independent counts. • Assume we record N repeated counts from a single source for equal counting

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