The sparsity of the isotope Helium-3, ongoing since 2009, has initiated a newgeneration of neutron detectors. One particularly promising development linefor detectors is the multilayer gaseous detector. In this paper, a stochasticprocess approach is used to determine the neutron's energy from the additionaldata afforded by the multilayer nature of these novel detectors. The data from a multi-layer detector consists of counts of the number ofabsorbed neutrons along the sequence of the detector's layers, in which theneutron absorption probability is unknown. We study the Maximum Likelihoodestimator for the intensity and absorption probability, show its consistencyand asymptotic normality, as the experiment time (or the number of incomingneutrons) goes to infinity. We combine these results with known results on therelation between the absorption probability and the wavelength to derive anestimator of the wavelength and to show consistency and asymptotic normalityfor the estimator.
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