Title
Simple dead-time corrections for discrete time series of non-Poisson data
Document Type
Article
Publication Date
7-21-2009
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.
Publication Title
Measurement Science and Technology
Recommended Citation
Larsen, M. L.,
&
Kostinski, A.
(2009).
Simple dead-time corrections for discrete time series of non-Poisson data.
Measurement Science and Technology,
20, 1-10.
http://doi.org/10.1088/0957-0233/20/9/095101
Retrieved from: https://digitalcommons.mtu.edu/physics-fp/214
Publisher's Statement
© 2009 IOP Publishing Ltd. Publisher’s version of record: https://doi.org/10.1088/0957-0233/20/9/095101