Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods

Wang, C. L.; Funk, L. L.; Riedel, R. A.; Berry, K. D.

doi:10.1016/j.nima.2017.02.022

Title: Improved neutron-gamma discrimination for a ³He neutron detector using subspace learning methods

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Abstract

³He gas based neutron linear-position-sensitive detectors (LPSDs) have been applied for many neutron scattering instruments. Traditional Pulse-Height Analysis (PHA) for Neutron-Gamma Discrimination (NGD) resulted in the neutron-gamma efficiency ratio on the orders of 10⁵-10⁶. The NGD ratios of ³He detectors need to be improved for even better scientific results from neutron scattering. Digital Signal Processing (DSP) analyses of waveforms were proposed for obtaining better NGD ratios, based on features extracted from rise-time, pulse amplitude, charge integration, a simplified Wiener filter, and the cross-correlation between individual and template waveforms of neutron and gamma events. Fisher linear discriminant analysis (FLDA) and three multivariate analyses (MVAs) of the features were performed. The NGD ratios are improved by about 10²-10³ times compared with the traditional PHA method. Finally, our results indicate the NGD capabilities of ³He tube detectors can be significantly improved with subspace-learning based methods, which may result in a reduced data-collection time and better data quality for further data reduction.

Authors:

Wang, C. L. ^[1]; Funk, L. L. ^[1]; Riedel, R. A. ^[1]; Berry, K. D. ^[1]

Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

Publication Date:: Fri Feb 10 00:00:00 EST 2017

Research Org.:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). High Flux Isotope Reactor (HFIR); Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States). Spallation Neutron Source (SNS)

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

OSTI Identifier:: 1344270

Alternate Identifier(s):: OSTI ID: 1412013

Grant/Contract Number:: AC05-00OR22725

Resource Type:: Accepted Manuscript

Journal Name:: Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment

Additional Journal Information:: Journal Volume: 853; Journal Issue: C; Journal ID: ISSN 0168-9002

Publisher:: Elsevier

Country of Publication:: United States

Language:: English

Subject:: 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; He-3 neutron detectors; neutron-gamma discrimination; digital signal processing; subspace learning methods

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                    Wang, C. L., Funk, L. L., Riedel, R. A., and Berry, K. D. Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods.  United States: N. p., 2017. 
Web.  doi:10.1016/j.nima.2017.02.022.

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                    Wang, C. L., Funk, L. L., Riedel, R. A., & Berry, K. D. Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods.  United States.  https://doi.org/10.1016/j.nima.2017.02.022

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                    Wang, C. L., Funk, L. L., Riedel, R. A., and Berry, K. D. Fri .  
"Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods".  United States.  https://doi.org/10.1016/j.nima.2017.02.022.  https://www.osti.gov/servlets/purl/1344270.

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@article{osti_1344270,

  title        = {Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods},

  author       = {Wang, C. L. and Funk, L. L. and Riedel, R. A. and Berry, K. D.},

  abstractNote = {3He gas based neutron linear-position-sensitive detectors (LPSDs) have been applied for many neutron scattering instruments. Traditional Pulse-Height Analysis (PHA) for Neutron-Gamma Discrimination (NGD) resulted in the neutron-gamma efficiency ratio on the orders of 105-106. The NGD ratios of 3He detectors need to be improved for even better scientific results from neutron scattering. Digital Signal Processing (DSP) analyses of waveforms were proposed for obtaining better NGD ratios, based on features extracted from rise-time, pulse amplitude, charge integration, a simplified Wiener filter, and the cross-correlation between individual and template waveforms of neutron and gamma events. Fisher linear discriminant analysis (FLDA) and three multivariate analyses (MVAs) of the features were performed. The NGD ratios are improved by about 102-103 times compared with the traditional PHA method. Finally, our results indicate the NGD capabilities of 3He tube detectors can be significantly improved with subspace-learning based methods, which may result in a reduced data-collection time and better data quality for further data reduction.},

  doi          = {10.1016/j.nima.2017.02.022},

  journal      = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},

  number       = C,

  volume       = 853,

  place        = {United States},

  year         = {Fri Feb 10 00:00:00 EST 2017},

  month        = {Fri Feb 10 00:00:00 EST 2017}

}

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Title: Improved neutron-gamma discrimination for a 3He neutron detector using subspace learning methods

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Title: Improved neutron-gamma discrimination for a ³He neutron detector using subspace learning methods