Physics – Data Analysis – Statistics and Probability
Scientific paper
2006-12-05
Nucl.Instrum.Meth.A577:702-707,2007
Physics
Data Analysis, Statistics and Probability
21 pages, 4 figures This is a revised version of "Optimal Proton Trapping". Based on a review, some aspects of the techical ar
Scientific paper
10.1016/j.nima.2007.04.172
In a neutron lifetime experiment conducted at the National Institute of Standards and Technology, protons produced by neutron decay events are confined in a Penning trap. In each run of the experiment, there is a trapping stage of duration $\tau$. After the trapping stage, protons are purged from the trap. A proton detector provides incomplete information because it goes dead after detecting the first of any purged protons. Further, there is a dead time $\delta$ between the end of the trapping stage in one run and the beginning of the next trapping stage in the next run. Based on the fraction of runs where a proton is detected, I estimate the trapping rate $\lambda$ by the method of maximum likelihood. I show that the expected value of the maximum likelihood estimate is infinite. To obtain a maximum likelihood estimate with a finite expected value and a well-defined and finite variance, I restrict attention to a subsample of all realizations of the data. This subsample excludes an exceedingly rare realization that yields an infinite-valued estimate of $\lambda$. I present asymptotically valid formulas for the bias, root-mean-square prediction error, and standard deviation of the maximum likelihood estimate of $\lambda$ for this subsample. Based on nominal values of $\lambda$ and the dead time $\delta$, I determine the optimal duration of the trapping stage $\tau$ by minimizing the root-mean-square prediction error of the estimate.
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