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...
Main Author: | |
---|---|
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 |
id |
doaj-85b77c88e67046df98fd9cd84b76acd1 |
---|---|
record_format |
Article |
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 |
_version_ |
1725240301914685440 |