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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.
To model the detector response, measured detector line-spread functions were used.
Nevertheless, Jaffés theory of columnar recombination was designed to model the detector efficiency of an ionization chamber.
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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].
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.
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.
The first model in the detector exploits a limited set of features which includes low-level 3D Haar-like features.
Benign bone lesions such as osteophytes (n = 576), degenerative sclerosis (n = 367), Schmorl's nodules (n = 146), osteoporotic areas (n = 96), haemangiomas (n = 21) as well as the basivertebral vein were annotated to train the last classification model in the detector cascade.
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