Examination of Count-Starved Gamma Spectra Using the Method of Spectral Comparison Ratios

2007 ◽  
Vol 54 (4) ◽  
pp. 1232-1238 ◽  
Author(s):  
David Michael Pfund ◽  
Robert C. Runkle ◽  
Kevin K. Anderson ◽  
Kenneth D. Jarman
Keyword(s):  
Spectral Comparison ◽  
Gamma Spectra

Examination of Count-starved Gamma Spectra Using the Method of Spectral Comparison Ratios

2006 ◽  
Author(s):  
David M. Pfund ◽  
Robert C. Runkle ◽  
Kevin K. Anderson ◽  
Kenneth D. Jarman
Keyword(s):  
Spectral Comparison ◽  
Gamma Spectra

scholarly journals Unsupervised Identification of Targeted Spectra Applying Rank1-NMF and FCC Algorithms in Long-Wave Hyperspectral Infrared Imagery

2021 ◽  
Vol 13 (11) ◽  
pp. 2125
Author(s):  
Bardia Yousefi ◽  
Clemente Ibarra-Castanedo ◽  
Martin Chamberland ◽  
Xavier P. V. Maldague ◽  
Georges Beaudoin
Keyword(s):  
Matched Filter ◽  
Principal Component ◽  
Hyperspectral Data ◽  
Clustering Methods ◽  
Spectral Angle Mapper ◽  
Long Wave ◽  
Clustering Approach ◽  
Spectral Comparison ◽  
Computational Simplicity ◽  
Mineral Identification

Clustering methods unequivocally show considerable influence on many recent algorithms and play an important role in hyperspectral data analysis. Here, we challenge the clustering for mineral identification using two different strategies in hyperspectral long wave infrared (LWIR, 7.7–11.8 μm). For that, we compare two algorithms to perform the mineral identification in a unique dataset. The first algorithm uses spectral comparison techniques for all the pixel-spectra and creates RGB false color composites (FCC). Then, a color based clustering is used to group the regions (called FCC-clustering). The second algorithm clusters all the pixel-spectra to directly group the spectra. Then, the first rank of non-negative matrix factorization (NMF) extracts the representative of each cluster and compares results with the spectral library of JPL/NASA. These techniques give the comparison values as features which convert into RGB-FCC as the results (called clustering rank1-NMF). We applied K-means as clustering approach, which can be modified in any other similar clustering approach. The results of the clustering-rank1-NMF algorithm indicate significant computational efficiency (more than 20 times faster than the previous approach) and promising performance for mineral identification having up to 75.8% and 84.8% average accuracies for FCC-clustering and clustering-rank1 NMF algorithms (using spectral angle mapper (SAM)), respectively. Furthermore, several spectral comparison techniques are used also such as adaptive matched subspace detector (AMSD), orthogonal subspace projection (OSP) algorithm, principal component analysis (PCA), local matched filter (PLMF), SAM, and normalized cross correlation (NCC) for both algorithms and most of them show a similar range in accuracy. However, SAM and NCC are preferred due to their computational simplicity. Our algorithms strive to identify eleven different mineral grains (biotite, diopside, epidote, goethite, kyanite, scheelite, smithsonite, tourmaline, pyrope, olivine, and quartz).

A new numerical correction method for gamma spectra based on the system transformation theory of random signals

2021 ◽  
pp. 109671
Author(s):  
Chongjie Wang ◽  
Qiuyan Zhang ◽  
Yue Sun ◽  
Jingnan Liu ◽  
Yingying Zhou ◽  
...  
Keyword(s):  
Correction Method ◽  
System Transformation ◽  
Transformation Theory ◽  
Random Signals ◽  
Gamma Spectra

A method to estimate a contribution of Ge(n,n′) reaction to the low-energy part of gamma spectra of HPGe detectors

2013 ◽  
Vol 709 ◽  
pp. 8-11 ◽  
Author(s):  
M. Krmar ◽  
J. Hansman ◽  
N. Jovančević ◽  
N. Lalović ◽  
J. Slivka ◽  
...  
Keyword(s):  
Low Energy ◽  
Energy Part ◽  
Hpge Detectors ◽  
Gamma Spectra

scholarly journals Fitting special peak shapes of prompt gamma spectra

2017 ◽  
Vol 315 (3) ◽  
pp. 663-670 ◽  
Author(s):  
László Szentmiklósi
Keyword(s):  
Prompt Gamma ◽  
Gamma Spectra

scholarly journals Study on analyzing overlaped peaks using the Gold algorithm of unfolding

2016 ◽  
Vol 19 (2) ◽  
pp. 71-79
Author(s):  
Loan Thi Hong Truong ◽  
Hoa Phuc Long Cao ◽  
Phuong Dang Nguyen ◽  
My Thi Thao Dang ◽  
Huy Quang Ngo
Keyword(s):  
Gamma Spectrometry ◽  
Environmental Samples ◽  
Hpge Detector ◽  
Gamma Spectrum ◽  
Low Level ◽  
Continuum Region ◽  
Gamma Spectra

In this work, we initially applied the Gold unfolding algorithm to deconvolute continuum region in the gamma spectra and to analyze its overlaped peaks for the gamma spectrometry using HPGe detector. The results could be used to analyse overlaped peaks of low level gamma spectrum for environmental samples.

scholarly journals Calculation of gamma spectra for positron annihilation on molecules

2009 ◽  
Vol 194 (7) ◽  
pp. 072006
Author(s):  
Dermot G Green ◽  
G F Gribakin ◽  
F Wang ◽  
C M Surko
Keyword(s):  
Positron Annihilation ◽  
Gamma Spectra
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