Literature DB >> 31092963

The aCORN Backscatter-Suppressed Beta Spectrometer.

M T Hassan1, F Bateman2, B Collett3, G Darius1, C DeAngelis1, M S Dewey2, G L Jones3, A Komives4, A Laptev1, M P Mendenhall2, J S Nico2, G Noid5, E J Stephenson5, I Stern1, C Trull1, F E Wietfeldt1.   

Abstract

Backscatter of electrons from a beta spectrometer, with incomplete energy deposition, can lead to undesirable effects in many types of experiments. We present and discuss the design and operation of a backscatter-suppressed beta spectrometer that was developed as part of a program to measure the electronantineutrino correlation coefficient in neutron beta decay (aCORN). An array of backscatter veto detectors surrounds a plastic scintillator beta energy detector. The spectrometer contains an axial magnetic field gradient, so electrons are efficiently admitted but have a low probability for escaping back through the entrance after backscattering. The design, construction, calibration, and performance of the spectrometer are discussed.

Entities:  

Keywords:  conversion electrons; electron backscatter; electron spectroscopy; neutron decay; scintillation detectors

Year:  2017        PMID: 31092963      PMCID: PMC6512858          DOI: 10.1016/j.nima.2017.05.029

Source DB:  PubMed          Journal:  Nucl Instrum Methods Phys Res A        ISSN: 0168-9002            Impact factor:   1.455


  1 in total

1.  Deep Learning Neural Network Prediction System Enhanced with Best Window Size in Sliding Window Algorithm for Predicting Domestic Power Consumption in a Residential Building.

Authors:  Dimpal Tomar; Pradeep Tomar; Arpit Bhardwaj; G R Sinha
Journal:  Comput Intell Neurosci       Date:  2022-03-02
  1 in total

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