scholarly journals Development of MC-based uncertainty estimation technique of unfolded neutron spectrum by multiple-foil activation method

2020 ◽  
Vol 239 ◽  
pp. 01021
Author(s):  
Katsumi Aoki ◽  
Tadahiro Kin ◽  
Md Kawchar Ahmed Patwary ◽  
Naoto Araki ◽  
Kosuke Yoshinami ◽  
...  
Keyword(s):  
Neutron Emission ◽  
Uncertainty Estimation ◽  
Thick Target ◽  
Activation Method ◽  
Estimation Technique ◽  
Neutron Distribution ◽  
Large Uncertainty ◽  
Distribution Measurement ◽  
Emission Energy ◽  
Foil Activation

Unfolding process plays an important role in neutron energy distribution measurement by means of the multiple-foil activation method. We have developed an algorithm for estimating uncertainty of resultant neutron distribution. For the demonstration of the algorithm, we have conducted an experiment to measure thick-target neutron yield (TTNY) of the C(d,n) reaction induced by 20-MeV deuterons with the multiple-foil activation method. The experiment was conducted at Cyclotron and Radioisotope Center, Tohoku University in Japan. The obtained experimental data were analyzed by the algorithm. As a result, we found that uncertainty of derived TTNY has dependency on neutron emission energy. In addition, the dependency is caused by excitation functions of activation reactions. Therefore, we found the particular reactions causing large uncertainty in TTNY. The result of present study shows that the algorithm can evaluate uncertainty and its causes.

Investigation of thick-target neutron emission from Be-9(d, n)B-10 AT Ed = 7 MeV for angles other than zero degrees

1986 ◽  
Vol 95 (1-4) ◽  
pp. 285-289
Author(s):  
D. L. Smith ◽  
J. W. Meadows ◽  
P. T. Guenther
Keyword(s):  
Neutron Emission ◽  
Thick Target

NEUTRON SPECTRUM ANALYSES BY FOIL ACTIVATION METHOD FOR HIGH-ENERGY PROTON BEAMS

2009 ◽  
Author(s):  
CHEOL HO PYEON ◽  
HIROSHI SHIGA ◽  
KAZUAKI ABE ◽  
HIROSHI YASHIMA ◽  
TSUYOSHI MISAWA ◽  
...  
Keyword(s):  
Neutron Spectrum ◽  
High Energy ◽  
Activation Method ◽  
High Energy Proton ◽  
Proton Beams ◽  
Energy Proton ◽  
Foil Activation

ILLUMINANCE DISTRIBUTION MEASUREMENT OF MUSEUM EXHIBITS USING DIGITAL IMAGING LUMINANCE METER

2021 ◽  
Author(s):  
A.A. Bartsev ◽  
A.A. Bartseva
Keyword(s):  
Digital Imaging ◽  
Measurement Method ◽  
Vertical Plane ◽  
Uncertainty Estimation ◽  
Experimental Uncertainty ◽  
Distribution Measurement ◽  
Museum Exhibits ◽  
Luminance Distribution ◽  
Museum Objects

The method for estimating the illuminance distribution in the vertical plane of museum objects (paintings) using a digital imaging luminance meters (ILMD) is considered. In order to pass from the luminance distribution to the illuminance distribution, a screen with reflective properties close to diffuse (Lambert) reflection is used. The theoretical and experimental uncertainty estimation of the measurement method done.

How uncertain is model-based prediction of copper loads in stormwater runoff?

2007 ◽  
Vol 56 (11) ◽  
pp. 65-72 ◽  
Author(s):  
E. Lindblom ◽  
S. Ahlman ◽  
P.S. Mikkelsen
Keyword(s):  
Dynamic Models ◽  
Drainage System ◽  
Uncertainty Estimation ◽  
Large Uncertainty ◽  
Concentration Data ◽  
Systematic Analysis ◽  
Total Load ◽  
Pollution Accumulation ◽  
Generalized Likelihood Uncertainty Estimation ◽  
Parameter Distributions

In this paper, we conduct a systematic analysis of the uncertainty related with estimating the total load of pollution (copper) from a separate stormwater drainage system, conditioned on a specific combination of input data, a dynamic conceptual pollutant accumulation-washout model and measurements (runoff volumes and pollutant masses). We use the generalized likelihood uncertainty estimation (GLUE) methodology and generate posterior parameter distributions that result in model outputs encompassing a significant number of the highly variable measurements. Given the applied pollution accumulation-washout model and a total of 57 measurements during one month, the total predicted copper masses can be predicted within a range of ±50% of the median value. The message is that this relatively large uncertainty should be acknowledged in connection with posting statements about micropollutant loads as estimated from dynamic models, even when calibrated with on-site concentration data.

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