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

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.

Nukleonika ◽  
2017 ◽  
Vol 62 (1) ◽  
pp. 47-59 ◽  
Author(s):  
Manuel Barrera ◽  
Melquiades Casas-Ruiz ◽  
José J. Alonso ◽  
Juan Vidal

Abstract A methodology to determine the full energy peak efficiency (FEPE) for precise gamma spectrometry measurements of environmental samples with high-purity germanium (HPGe) detector, valid when this efficiency depends on the energy of the radiation E, the height of the cylindrical sample H, and its density ρ, is introduced. The methodology consists of an initial calibration as a function of E and H and the application of a self-attenuation factor, depending on the density of the sample ρ, in order to correct for the different attenuation of the generic sample in relation to the measured standard. The obtained efficiency can be used in the whole range of interest studied, E = 120–2000 keV, H = 1–5 cm, and ρ = 0.8–1.7 g/cm3, being its uncertainty below 5%. The efficiency has been checked by the measurement of standards, resulting in a good agreement between experimental and expected activities. The described methodology can be extended to similar situations when samples show geometric and compaction differences.


2006 ◽  
Vol 41 ◽  
pp. 400-407 ◽  
Author(s):  
B Quintana ◽  
P Álvarez-Iglesias ◽  
R Santamaría ◽  
B Rubio ◽  
M Pérez-Arlucea

2014 ◽  
Vol 29 (suppl.) ◽  
pp. 1-7 ◽  
Author(s):  
Konstantinos Karfopoulos ◽  
Dimitrios Karangelos ◽  
Marios Anagnostakis ◽  
Simos Simopoulos

The determination of 235U in environmental samples from its 185.72 keV photons may require the deconvolution of the multiplet photopeak at ~186 keV, due to the co-existence of the 186.25 keV photons of 226Ra in the spectrum. Successful deconvolution depends on many parameters, such as the detector characteristics, the activity concentration of the 235U and 226Ra in the sample, the background continuum in the 186 keV energy region and the gamma-spectrometry computer code used. In this work two sets of experimental test spectra were constructed for examining the deconvolution of the multiplet photopeak performed by different codes. For the construction of the test spectra, a high-resolution low energy germanium detector was used. The first series consists of 140 spectra and simulates environmental samples containing various activity concentration levels of 235U and 226Ra. The second series consists of 280 spectra and has been derived by adding 137Cs, corresponding to various activity concentration levels, to specific first series test spectra. As the 137Cs backscatter edge is detected in the energy region of the multiplet photopeak at ~186 keV, this second series of test spectra tests the analysis of the multiplet photopeak in high background continuum conditions. The analysis of the test spectra is performed by two different g-spectrometry analysis codes: (a) spectrum unix analysis code, a computer code developed in-house and (b) analysis of germanium detector spectra, a program freely available from the IAEA. The results obtained by the two programs are compared in terms of photopeak detection and photopeak area determination.


1997 ◽  
Vol 35 (11-12) ◽  
pp. 363-368 ◽  
Author(s):  
T. R. Slifko ◽  
D. E. Friedman ◽  
J. B. Rose ◽  
S. J. Upton ◽  
W. Jakubowski

Cryptosporidium parvum is an infectious enteric protozoan parasite that causes waterborne disease, severe gastroenteritis and is associated with high mortality in immunocompromised individuals. Detection of oocysts in water is very difficult and current methodologies do not determine viability. This project has focused on low level detection of Cryptosporidium parvum in environmental samples using a unique cultural method. Previously, cell culture methods have been used to assess the developmental stages of Cryptosporidium; however, no cultural methods have been employed with environmental samples. The percentage of viable oocysts can be estimated by detecting intracellular developmental stages of the parasite using fluorescently labelled antibodies. Other methods are not capable of low level detection or high sensitivity. We are evaluating detection of single foci of infection, indicating that one of the four sporozoites released from the viable oocyst has infected a single cell.


2020 ◽  
Vol 239 ◽  
pp. 25002
Author(s):  
Mattias Lantz ◽  
Erik Andersson-Sundén ◽  
Peter Andersson ◽  
Abigail Barker ◽  
Cecilia Gustavsson ◽  
...  

In a Swedish citizen science project, more than 200 elementary school classes participated in collecting fungi, soil samples, and droppings from deer and wild boar, from all over Sweden. The samples have been sent to a laboratory at Uppsala University where they are being analyzed through gamma spectroscopy with a shielded HPGe detector. The main objective is to scan the samples for 137Cs from the Chernobyl accident and compare the data with measurements from 1986, but uptake of naturally occuring radionuclides like 40K and radon daughters will also be determined. Together with the soil samples, transfer factors will be derived, and correlations for these factors will be sought for different species of fungi and soil types. The potential for correlating the results with different biological processes will also be investigated, in part through the collected animal droppings. This is a work in progress where the present status of the experimental setup and methodology are presented. Issues with the initial approach for corrections are discussed and preliminary results are presented.


2009 ◽  
Vol 44 (5) ◽  
pp. 613-618 ◽  
Author(s):  
A. de Vismes ◽  
R. Gurriaran ◽  
X. Cagnat

2017 ◽  
Vol 130 ◽  
pp. 34-42 ◽  
Author(s):  
Diango M. Montalván Olivares ◽  
M.V. Manso Guevara ◽  
Fermin G. Velasco

2017 ◽  
Vol 120 ◽  
pp. 119-125 ◽  
Author(s):  
Arnold Molina Porras ◽  
Michel Condomines ◽  
Jean Luc Seidel

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