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• W2147216040 endingPage "095101" @default.
• W2147216040 startingPage "095101" @default.
• W2147216040 abstract "The problem of dead time (instrumental insensitivity to detectable events due to electronic or mechanical reset time) is considered. Most existing algorithms to correct for event count errors due to dead time implicitly rely on Poisson counting statistics of the underlying phenomena. However, when the events to be measured are clustered in time, the Poisson statistics assumption results in underestimating both the true event count and any statistics associated with count variability; the 'busiest' part of the signal is partially missed. Using the formalism associated with the pair-correlation function, we develop first-order correction expressions for the general case of arbitrary counting statistics. The results are verified through simulation of a realistic clustering scenario." @default.
• W2147216040 created "2016-06-24" @default.
• W2147216040 creator A5027400530 @default.
• W2147216040 creator A5073974449 @default.
• W2147216040 date "2009-07-21" @default.
• W2147216040 modified "2023-10-01" @default.
• W2147216040 title "Simple dead-time corrections for discrete time series of non-Poisson data" @default.
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• W2147216040 doi "https://doi.org/10.1088/0957-0233/20/9/095101" @default.
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