A Monte Carlo method for calculation of the characteristic limits decision threshold and detection limit in low-level radioactivity measurements

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A Monte Carlo method for calculation of the characteristic limits decision threshold and detection limit in low-level radioactivity measurements. / Ramebäck, Henrik; Persson, Leif A.; Ekberg, Christian; Bruggeman, Michel; Vesterlund, Anna.

In: Applied Radiation and Isotopes, Vol. 178, 109959, 23.09.2021, p. 1-5.

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Ramebäck, Henrik ; Persson, Leif A. ; Ekberg, Christian ; Bruggeman, Michel ; Vesterlund, Anna. / A Monte Carlo method for calculation of the characteristic limits decision threshold and detection limit in low-level radioactivity measurements. In: Applied Radiation and Isotopes. 2021 ; Vol. 178. pp. 1-5.

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@article{877e1d64f56a4d23aef0f36d9bef429c,
title = "A Monte Carlo method for calculation of the characteristic limits decision threshold and detection limit in low-level radioactivity measurements",
abstract = "In this study, calculation of decision threshold and detection limit expressed in counts for low-level radioactivity measurements were evaluated and compared to a Monte Carlo method for the case of paired Poisson-distributed observations, i.e. for discrete variables. The calculated characteristic limits obtained from Monte Carlo calculations were compared with analytical expressions given in literature. The results in this study show that the equations given by Currie are in good agreement with the results from the Monte Carlo calculations simulating nuclear counting applications with a low number of observed counts. An exception is observed for a background corresponding to zero counts. This study also shows that at a low number of counts, the specific boundary conditions of the interval that represents counts corresponding to the presence of the analyte (>or ≥), have an impact on the false positives and negatives rates as defined by the parameters α and β.",
keywords = "Decision threshold, Detection limit, Monte Carlo calculation, Low count rate, Currie",
author = "Henrik Rameb{\"a}ck and Persson, {Leif A.} and Christian Ekberg and Michel Bruggeman and Anna Vesterlund",
note = "Score=10",
year = "2021",
month = sep,
day = "23",
doi = "10.1016/j.apradiso.2021.109959",
language = "English",
volume = "178",
pages = "1--5",
journal = "Applied Radiation and Isotopes",
issn = "0969-8043",
publisher = "Elsevier",

}

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TY - JOUR

T1 - A Monte Carlo method for calculation of the characteristic limits decision threshold and detection limit in low-level radioactivity measurements

AU - Ramebäck, Henrik

AU - Persson, Leif A.

AU - Ekberg, Christian

AU - Bruggeman, Michel

AU - Vesterlund, Anna

N1 - Score=10

PY - 2021/9/23

Y1 - 2021/9/23

N2 - In this study, calculation of decision threshold and detection limit expressed in counts for low-level radioactivity measurements were evaluated and compared to a Monte Carlo method for the case of paired Poisson-distributed observations, i.e. for discrete variables. The calculated characteristic limits obtained from Monte Carlo calculations were compared with analytical expressions given in literature. The results in this study show that the equations given by Currie are in good agreement with the results from the Monte Carlo calculations simulating nuclear counting applications with a low number of observed counts. An exception is observed for a background corresponding to zero counts. This study also shows that at a low number of counts, the specific boundary conditions of the interval that represents counts corresponding to the presence of the analyte (>or ≥), have an impact on the false positives and negatives rates as defined by the parameters α and β.

AB - In this study, calculation of decision threshold and detection limit expressed in counts for low-level radioactivity measurements were evaluated and compared to a Monte Carlo method for the case of paired Poisson-distributed observations, i.e. for discrete variables. The calculated characteristic limits obtained from Monte Carlo calculations were compared with analytical expressions given in literature. The results in this study show that the equations given by Currie are in good agreement with the results from the Monte Carlo calculations simulating nuclear counting applications with a low number of observed counts. An exception is observed for a background corresponding to zero counts. This study also shows that at a low number of counts, the specific boundary conditions of the interval that represents counts corresponding to the presence of the analyte (>or ≥), have an impact on the false positives and negatives rates as defined by the parameters α and β.

KW - Decision threshold

KW - Detection limit

KW - Monte Carlo calculation

KW - Low count rate

KW - Currie

UR - https://ecm.sckcen.be/OTCS/llisapi.dll/open/46914915

U2 - 10.1016/j.apradiso.2021.109959

DO - 10.1016/j.apradiso.2021.109959

M3 - Article

VL - 178

SP - 1

EP - 5

JO - Applied Radiation and Isotopes

JF - Applied Radiation and Isotopes

SN - 0969-8043

M1 - 109959

ER -

ID: 7323874