Zobrazeno 1 - 10
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pro vyhledávání: '"Taro Ueki"'
Autor:
Taro Ueki
Publikováno v:
Progress in Nuclear Energy. 159:104630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed29e034f010ac146b50b2cba08056d2
https://doi.org/10.1016/j.pnucene.2023.104630
https://doi.org/10.1016/j.pnucene.2023.104630
Publikováno v:
Nuclear Science and Engineering. 195:1107-1117
Criticality control of random media such as fuel debris is one of the most important safety issues in postaccident management. A 1/fβ spectrum randomizing model is expected to simulate such random ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d2d4ab6fb5e30dbc74512c044a698347
https://doi.org/10.1080/00295639.2021.1897732
https://doi.org/10.1080/00295639.2021.1897732
Autor:
Taro Ueki
Publikováno v:
Nuclear Science and Engineering. 195:214-226
A dynamical system under extreme physical disorder has the tendency to evolve toward the equilibrium state characterized by an inverse power law power spectrum. In this paper, a practical, implemen...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::113f8a02b4032377b9cfd071ee984ce4
https://doi.org/10.1080/00295639.2020.1801000
https://doi.org/10.1080/00295639.2020.1801000
Autor:
Taro Ueki
Publikováno v:
Nuclear Science and Engineering. 194:422-432
In the Monte Carlo method for criticality calculation, the convergence-in-distribution check of the sample mean of tallies can be approached in terms of the influence range of autocorrelation compa...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::593d292983ab9bc8693c0a91d9f31d04
https://doi.org/10.1080/00295639.2019.1710418
https://doi.org/10.1080/00295639.2019.1710418
Autor:
Taro Ueki
Publikováno v:
Nuclear Science and Engineering. 193:776-789
It is known that the convergence of standardized time series (STS) to Brownian bridge yields standard deviation estimators of the sample mean of correlated Monte Carlo tallies. In this work, a diff...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bd44be04e764e7991d6cf3ffd3346bb
https://doi.org/10.1080/00295639.2018.1562779
https://doi.org/10.1080/00295639.2018.1562779
Publikováno v:
Annals of Nuclear Energy. 174:109167
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::172226ad39074cbf6295700bb4aa004f
https://doi.org/10.1016/j.anucene.2022.109167
https://doi.org/10.1016/j.anucene.2022.109167
Publikováno v:
EPJ Web of Conferences, Vol 247, p 17002 (2021)
We investigated the effect of β on effective multiplication factor(keff) in the 1/fβ spectrum random system. The random system was generated by the 1/fβ noise model. The model is a continuous space model based on the Randomized Weierstrass functio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3929ca77d3f48d01d84c2c61417ea846
https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_17002.pdf
https://www.epj-conferences.org/articles/epjconf/pdf/2021/01/epjconf_physor2020_17002.pdf
Autor:
Taro Ueki
Publikováno v:
Progress in Nuclear Energy. 144:104099
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2ec5041a547f0a82e8bf3692432cf775
https://doi.org/10.1016/j.pnucene.2021.104099
https://doi.org/10.1016/j.pnucene.2021.104099
Autor:
Taro Ueki
Publikováno v:
Journal of Nuclear Science and Technology. 55(10):1180-1192
In Monte Carlo criticality analysis under material distribution uncertainty, it is necessary to evaluate the response of neutron effective multiplication factor ($K_{\rm eff}$) to the space-dependent random fluctuation of volume fractions within a pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::298c4030b7ab90327920b77cc1e26260
https://jopss.jaea.go.jp/search/servlet/search?5062621
https://jopss.jaea.go.jp/search/servlet/search?5062621
Autor:
Taro Ueki
Publikováno v:
Journal of Nuclear Science and Technology. 54(12):1310-1320
In Monte Carlo criticality calculation, confidence interval estimation is based on the central limit theorem (CLT) for a series of tallies. A fundamental assertion resulting from CLT is the convergence in distribution (CID) of the interpolated standa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de2d6fe063ae7be04f4f1882500c1396
https://jopss.jaea.go.jp/search/servlet/search?5058726
https://jopss.jaea.go.jp/search/servlet/search?5058726