Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program

To accomplish a more accurate, precise and correct interpretation and analysis of spectrum data collecting from a gamma spectrometry counting system, a fully interactive computer code, named Y-Spect, has been developed by using the Delphi 7.0 programming language. The code combines several popular m...

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Main Author: P.I. Yazid
Format: Article
Language:English
Published: Center for Development of Nuclear Informatics, National Nuclear Energy Agency (BATAN) 2013-04-01
Series:Atom Indonesia
Subjects:
Online Access:http://aij.batan.go.id/index.php/aij/article/view/222
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spelling doaj-85b77c88e67046df98fd9cd84b76acd12020-11-25T00:52:54ZengCenter for Development of Nuclear Informatics, National Nuclear Energy Agency (BATAN)Atom Indonesia0126-15682013-04-013914049Y-Spect: A Multi-Method Gamma Spectrometry Analysis ProgramP.I. Yazid0Center for Nuclear Technology of Material and Radiometry, National Nuclear Energy Agency Jl. Tamansari 71, Bandung 40132, IndonesiaTo accomplish a more accurate, precise and correct interpretation and analysis of spectrum data collecting from a gamma spectrometry counting system, a fully interactive computer code, named Y-Spect, has been developed by using the Delphi 7.0 programming language. The code combines several popular methods for peak search, i.e.: Mariscotti, Phillips-Marlow, Robertson et al., Routti-Prussin, Black, Sterlinski, Savitzky-Golay and Block et al. Any combinations of those methods can be chosen during a peak searching process, which can be performed in automatic or manual mode. Moving Window Average- and Savitzky-Golay-methods are available for spectrum data smoothing. Peak fitting is done by using a non-linear least square method of Levenberg-Marquardt for either a pure Gaussian peak shape or one with an additional Right/Left Tail function. Other than standard features, such as: peak identification and determination of: continuum, region of interest (ROI), and peak area, etc., Y-Spect has also a special feature which can predict the existence of escape- and/or sum peaks that belong to a certain radioisotope. Aside from displaying the complete spectrum graph, including: singlet or multiplet ROIs and peak identifications, Y-Spect can also display the first- or second-derivative of the spectrum data. Data evaluation is given as: isotope names, peak energy, Net-Count(-Rate), etc. Y-Spect is provided with a complete ENDF/B-VII.0 gamma-ray library file that contains of 16089 gamma energy lines from 1420 different radioisotopes. Other general specifications are: maximum number of: spectrum's channels = 16*1024; ROIs = 2*1024; ROI’s width = 2*1024 channels; Overlapping peaks (multiplet) = 20; Identified isotopes = 3*1024, and Isotope library's energy lines = 16*1024http://aij.batan.go.id/index.php/aij/article/view/222Gamma SpectrometryPeak SearchingPeak FittingData SmoothingRegion of InterestEscape-/Sum Peak Identification.
collection DOAJ
language English
format Article
sources DOAJ
author P.I. Yazid
spellingShingle P.I. Yazid
Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program
Atom Indonesia
Gamma Spectrometry
Peak Searching
Peak Fitting
Data Smoothing
Region of Interest
Escape-/Sum Peak Identification.
author_facet P.I. Yazid
author_sort P.I. Yazid
title Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program
title_short Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program
title_full Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program
title_fullStr Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program
title_full_unstemmed Y-Spect: A Multi-Method Gamma Spectrometry Analysis Program
title_sort y-spect: a multi-method gamma spectrometry analysis program
publisher Center for Development of Nuclear Informatics, National Nuclear Energy Agency (BATAN)
series Atom Indonesia
issn 0126-1568
publishDate 2013-04-01
description To accomplish a more accurate, precise and correct interpretation and analysis of spectrum data collecting from a gamma spectrometry counting system, a fully interactive computer code, named Y-Spect, has been developed by using the Delphi 7.0 programming language. The code combines several popular methods for peak search, i.e.: Mariscotti, Phillips-Marlow, Robertson et al., Routti-Prussin, Black, Sterlinski, Savitzky-Golay and Block et al. Any combinations of those methods can be chosen during a peak searching process, which can be performed in automatic or manual mode. Moving Window Average- and Savitzky-Golay-methods are available for spectrum data smoothing. Peak fitting is done by using a non-linear least square method of Levenberg-Marquardt for either a pure Gaussian peak shape or one with an additional Right/Left Tail function. Other than standard features, such as: peak identification and determination of: continuum, region of interest (ROI), and peak area, etc., Y-Spect has also a special feature which can predict the existence of escape- and/or sum peaks that belong to a certain radioisotope. Aside from displaying the complete spectrum graph, including: singlet or multiplet ROIs and peak identifications, Y-Spect can also display the first- or second-derivative of the spectrum data. Data evaluation is given as: isotope names, peak energy, Net-Count(-Rate), etc. Y-Spect is provided with a complete ENDF/B-VII.0 gamma-ray library file that contains of 16089 gamma energy lines from 1420 different radioisotopes. Other general specifications are: maximum number of: spectrum's channels = 16*1024; ROIs = 2*1024; ROI’s width = 2*1024 channels; Overlapping peaks (multiplet) = 20; Identified isotopes = 3*1024, and Isotope library's energy lines = 16*1024
topic Gamma Spectrometry
Peak Searching
Peak Fitting
Data Smoothing
Region of Interest
Escape-/Sum Peak Identification.
url http://aij.batan.go.id/index.php/aij/article/view/222
work_keys_str_mv AT piyazid yspectamultimethodgammaspectrometryanalysisprogram
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