2001
DOI: 10.1016/s0969-8043(01)00101-4
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Intercomparison of efficiency transfer software for gamma-ray spectrometry

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Cited by 111 publications
(33 citation statements)
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“…6A and B MCNP simulations show a 25% higher peak efficiency compared to measurements for the gamma energy 661.7 keV. Others (Korun et al, 1997;Lépy et al, 2001;Gilmore, 2008;Marzocchi et al, 2010) have also observed this discrepancy in Fig. 6A.…”
Section: Detector Peak and Valley Efficienciesmentioning
confidence: 70%
“…6A and B MCNP simulations show a 25% higher peak efficiency compared to measurements for the gamma energy 661.7 keV. Others (Korun et al, 1997;Lépy et al, 2001;Gilmore, 2008;Marzocchi et al, 2010) have also observed this discrepancy in Fig. 6A.…”
Section: Detector Peak and Valley Efficienciesmentioning
confidence: 70%
“…In this technique, the detector ef iciency of using various source dimensions is derived from the known ef iciency for the reference source-to-detector geometry. The ef iciency transfer method is particularly useful due to, its insensitivity to the inaccuracy of the input data, such as the uncertainty of the detector characterization [7,8].…”
Section: Introductionmentioning
confidence: 99%
“…There exists extensive literature on the MC method of calibration in gamma-ray spectrometry. It is beyond the scope of this work to review it, however, we provide references to authoritative reviews and inter-comparison studies using MC-based calibrations (by Lépy et al [2], Vidmar et al [3], and Sima [4]). A number of commercial MC codes as well as codes distributed through large research centers are available, in addition to many locally written codes.…”
Section: Introductionmentioning
confidence: 99%
“…In the original version by Moens et al [5] the transfer of peak efficiency to a new efficiency is accomplished by scaling the former by the ratio of the corresponding "virtual" total efficiencies. Another version, where the scaling factor is the ratio of calculated peak efficiencies [2], can also be considered within the transfer methods group. The assumption of these methods is that the systematic bias in the MC calculations is diminished by taking the ratio of calculated "virtual" total or peak efficiencies.…”
Section: Introductionmentioning
confidence: 99%