Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Ron Wurtz"'
Autor:
Matthew R. Heath, Bonni Canion, Lorenzo Fabris, Irakli Garishvili, Andy Glenn, Jennifer U. Hausladen, Paul Hausladen, Donnie Lee, Seth McConchie, Les Nakae, Jason Newby, Ron Wurtz
Publikováno v:
IEEE Transactions on Nuclear Science. 69:1352-1356
Publikováno v:
Statistical Analysis and Data Mining: The ASA Data Science Journal. 12:479-488
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 919:36-41
We present a novel trainable approach to distinguish neutrons from gammas using a particle detector . Traditionally, Pulse Shape Discrimination (PSD) methods for this problem utilize an ad-hoc computation of tail signal energy to perform the detectio
Autor:
Lance M. Simms, J. Ruz, A. Glenn, Ron Wurtz, Brenton Blair, Alan D. Kaplan, Cliff Chen, Paul Rosenfield
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 901:46-55
In this paper, we present novel methods for automated pulse shape discrimination. The classifiers are trained using simple radionuclide sources and do not require ground truth labeling. We test their performance using labels derived from time of flig
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 900:1-7
A Gaussian Mixture Model (GMM) based machine learning algorithm has been applied to the problem of gamma/neutron pulse shape discrimination (PSD). The algorithm has been successfully implemented on a standard PC as well as a field programmable gate a
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 988:164905
Pulse shape discriminating scintillator materials in many cases allow the user to identify two basic kinds of pulses arising from two kinds of particles: neutrons and gammas. An uncomplicated solution for building a classifier consists of a two-compo