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Signal detection theory, for instance, models the detectors and cues in more detail.
To model the detector response, measured detector line-spread functions were used.
MCNPX was used to model the detector and conduct the study.
A method to model the detector energy response to properly handle split events is also discussed.
Nevertheless, Jaffés theory of columnar recombination was designed to model the detector efficiency of an ionization chamber.
In order to characterize the neutron detection performance of large-scale water Cherenkov detectors, we have designed and built a 3.5 kL water Cherenkov-based gamma-ray and neutron detector, and modeled the detector response in Geant4 [1].
Finally, the noise models used throughout MetAssign can almost certainly be improved via better models of the detector itself (Ipsen et al., 2010b) and inclusion in the model of terms relating to contaminants (Keller et al., 2008).
Gain measurements as a function of gap thickness are compared to the Rose and Korff formula and a model of the detector gain.
In order to ascertain the potential improvements in the imaging that result from this extra information, a Monte Carlo model of the detector and acquisition system is being coded.
Our approach is complementary in taking a rather concrete model of the detector.
Additionally, a more complete and accurate model of the detector response based on experimental data will be implemented for better spatial resolution.
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