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Medical application of Particle and Heavy Ion Transport code System PHITS

古田 琢哉; 佐藤 達彦

Radiological Physics and Technology, 14(3), p.215 - 225, 2021/09



Nuclear data processing code FRENDY; A Verification with HTTR criticality benchmark experiments

藤本 望*; 多田 健一; Ho, H. Q.; 濱本 真平; 長住 達; 石塚 悦男

Annals of Nuclear Energy, 158, p.108270_1 - 108270_8, 2021/08

 被引用回数:0 パーセンタイル:0.02(Nuclear Science & Technology)

Japan Atomic Energy Agency has developed a new nuclear data processing code, namely FRENDY, to generate the ACE files from various nuclear libraries. A code-to-experiment verification of FRENDY processing was carried out in this study with criticality benchmark assessments of the high temperature engineering test reactor. The ACE files of the JENDL-4.0 and ENDF-B-VII.1 was generated successfully by FRENDY. These ACE files have been used in MCNP6 transportation calculation for various benchmark problems of the high temperature engineering test reactor. As a result, the k$$_{rm eff}$$ and reaction rate obtained by MCNP6 calculation presented a good agreement compared to the experimental data. The proper ACE files generation by FRENDY was confirmed for the HTTR criticality calculations.


Monte Carlo criticality calculation of random media formed by multimaterials mixture under extreme disorder

植木 太郎

Nuclear Science and Engineering, 195(2), p.214 - 226, 2021/02

 被引用回数:1 パーセンタイル:42.23(Nuclear Science & Technology)



Calculations for ambient dose equivalent rates in nine forests in eastern Japan from $$^{134}$$Cs and $$^{137}$$Cs radioactivity measurements

Malins, A.; 今村 直広*; 新里 忠史; 高橋 純子*; Kim, M.; 佐久間 一幸; 篠宮 佳樹*; 三浦 覚*; 町田 昌彦

Journal of Environmental Radioactivity, 226, p.106456_1 - 106456_12, 2021/01

 被引用回数:0 パーセンタイル:0(Environmental Sciences)

Understanding the relationship between the distribution of radioactive $textsuperscript{134}$Cs and $textsuperscript{137}$Cs in forests and ambient dose equivalent rates ($textit{.{H}}$*(10)) in the air is important for researching forests in eastern Japan affected by the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) accident. This study used a large number of measurements from forest samples, including $$^{134}$$Cs and $textsuperscript{137}$Cs radioactivity concentrations, densities and moisture contents, to perform Monte Carlo radiation transport simulations for $textit{.{H}}$*(10) between 2011 and 2017. Calculated $textit{.{H}}$*(10) at 0.1 and 1 m above the ground had mean residual errors of 19% and 16%, respectively, from measurements taken with handheld NaI(Tl) scintillator survey meters. Setting aside the contributions from natural background radiation, $textsuperscript{134}$Cs and $textsuperscript{137}$Cs in the organic layer and the top 5 cm of forest soil generally made the largest contributions to calculated $textit{.{H}}$*(10). The contributions from $textsuperscript{134}$Cs and $textsuperscript{137}$Cs in the forest canopy were calculated to be largest in the first two years following the accident. Uncertainties were evaluated in the simulation results due to the measurement uncertainties in the model inputs by assuming Gaussian measurement errors. The mean uncertainty (relative standard deviation) of the simulated $textit{.{H}}$*(10) at 1 m height was 11%. The main contributors to the total uncertainty in the simulation results were the accuracies to which the $textsuperscript{134}$Cs and $textsuperscript{137}$Cs radioactivities of the organic layer and top 5 cm of soil, and the vertical distribution of $textsuperscript{134}$Cs and $textsuperscript{137}$Cs within the 5 cm soil layers, were known. Radioactive cesium located in the top 5 cm of soil was the main contributor to $textit{.{H}}$*(10) at 1 m by 2016 or 2017 in the calculation results for all sites.


Simulation analysis of the Compton-to-peak method for quantifying radiocesium deposition quantities

Malins, A.; 越智 康太郎; 町田 昌彦; 眞田 幸尚

Proceedings of Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo 2020 (SNA + MC 2020), p.147 - 154, 2020/10

Compton-to-peak analysis is a method for selecting suitable coefficients to convert count rates measured with in situ gamma ray spectrometry to radioactivity concentrations of $$^{134}$$Cs & $$^{137}$$Cs in the environment. The Compton-to-peak method is based on the count rate ratio of the spectral regions containing Compton scattered gamma rays to that with the primary $$^{134}$$Cs & $$^{137}$$Cs photopeaks. This is known as the Compton-to-peak ratio (RCP). RCP changes as a function of the vertical distribution of $$^{134}$$Cs & $$^{137}$$Cs within the ground. Inferring this distribution enables the selection of appropriate count rate to activity concentration conversion coefficients. In this study, the PHITS Monte Carlo radiation transport code was used to simulate the dependency of RCP on different vertical distributions of $$^{134}$$Cs & $$^{137}$$Cs within the ground. A model was created of a LaBr$$_3$$(Ce) detector used in drone helicopter aerial surveys in Fukushima Prefecture. The model was verified by comparing simulated gamma ray spectra to measurements from test sources. Simulations were performed for the infinite half-space geometry to calculate the dependency of RCP on the mass depth distribution (exponential or uniform) of $$^{134}$$Cs & $$^{137}$$Cs within the ground, and on the altitude of the detector above the ground. The calculations suggest that the sensitivity of the Compton-to-peak method is greatest for the initial period following nuclear fallout when $$^{134}$$Cs & $$^{137}$$Cs are located close to the ground surface, and for aerial surveys conducted at low altitudes. This is because the relative differences calculated between RCP with respect to changes in the mass depth distribution were largest for these two cases. Data on the measurement height above and on the $$^{134}$$Cs & $$^{137}$$Cs activity ratio is necessary for applying the Compton-to-peak method to determine the distribution and radioactivity concentration of $$^{134}$$Cs & $$^{137}$$Cs in the ground.


A Comparative study of sampling techniques for dynamic probabilistic risk assessment of nuclear power plants

久保 光太郎; Zheng, X.; 田中 洋一; 玉置 等史; 杉山 智之; Jang, S.*; 高田 孝*; 山口 彰*

Proceedings of Joint International Conference on Supercomputing in Nuclear Applications + Monte Carlo 2020 (SNA + MC 2020), p.308 - 315, 2020/10



A New convention for the epithermal neutron spectrum for improving accuracy of resonance integrals

原田 秀郎; 高山 直毅; 米田 政夫

Journal of Physics Communications (Internet), 4(8), p.085004_1 - 085004_17, 2020/08

原子炉を用いた放射化分析などで重要な中性子共鳴積分値を高精度化するため、熱外中性子スペクトルの新しい近似を定式化した。近似式の導出に当たっては、はじめにモンテカルロ計算コードMVP-3を用いて参照解となる中性子スペクトルを計算し、これから 型の関数型を導出した。従来の近似式に比較し、導出した関数型は、中性子共鳴積分値を高精度に決定できることを示した。この検討は、過去にJRR-3で行われた$$^{135}$$Csの中性子共鳴積分値の測定データに基づき行われた。また、提唱した近似式に導入したパラメータ$$alpha$$及び$$beta$$を実験的に決定するため、3種類のフラックスモニター($$^{197}$$Au, $$^{59}$$Co及び$$^{94}$$Zr)を用いる手法を提唱するとともに、解析手法を定式化した。


Gamma detector response simulation inside the pedestal of Fukushima Daiichi Nuclear Power Station

Riyana, E. S.; 奥村 啓介; 寺島 顕一; 松村 太伊知; 坂本 雅洋

Mechanical Engineering Journal (Internet), 7(3), p.19-00543_1 - 19-00543_8, 2020/06

Prediction of the fuel debris location and distribution inside the primary containment vessel (PCV) of the Fukushima Daiichi Nuclear Power Plant is important to decide further decommissioning step and strategy. The radiation measurements in the past internal investigations have not yet provided enough information to predict fuel debris location and its distribution inside PCV. To support further measurement efforts, we simulate the detector response inside the PCV. The calculation result could provide a base on deciding suitable detector systems to assist the efforts on searching, localizing and defining distributions of the fuel debris.



長住 達; 松中 一朗*; 藤本 望*; 石井 俊晃; 石塚 悦男

JAEA-Technology 2020-003, 13 Pages, 2020/05




Monte Carlo radiation transport modelling of the current-biased kinetic inductance detector

Malins, A.; 町田 昌彦; Vu, TheDang; 相澤 一也; 石田 武和*

Nuclear Instruments and Methods in Physics Research A, 953, p.163130_1 - 163130_7, 2020/02

 被引用回数:5 パーセンタイル:91.19(Instruments & Instrumentation)

Radiation transport simulations were used to analyse neutron imaging with the current-biased kinetic inductance detector (CB-KID). The PHITS Monte Carlo code was applied for simulating neutron, $$^{4}$$He, $$^{7}$$Li, photon and electron transport, $$^{10}$$B(n,$$alpha$$)$$^{7}$$Li reactions, and energy deposition by particles within CB-KID. Slight blurring in simulated CB-KID images originated $$^{4}$$He and $$^{7}$$Li ions spreading out in random directions from the $$^{10}$$B conversion layer in the detector prior to causing signals in the $$X$$ and $$Y$$ superconducting Nb nanowire meander lines. 478 keV prompt gamma rays emitted by $$^{7}$$Li nuclei from neutron-$$^{10}$$B reactions had negligible contribution to the simulated CB-KID images. Simulated neutron images of $$^{10}$$B dot arrays indicate that sub 10 $$mu$$m resolution imaging should be feasible with the current CB-KID design. The effect of the geometrical structure of CB-KID on the intrinsic detection efficiency was calculated from the simulations. An analytical equation was then developed to approximate this contribution to the detection efficiency. Detection efficiencies calculated in this study are upper bounds for the reality as the effects of detector temperature, the bias current, signal processing and dead-time losses were not taken into account. The modelling strategies employed in this study could be used to evaluate modifications to the CB-KID design prior to actual fabrication and testing, conveying a time and cost saving.


Simulation study of the effects of buildings, trees and paved surfaces on ambient dose equivalent rates outdoors at three suburban sites near Fukushima Dai-ichi

Kim, M.; Malins, A.; 吉村 和也; 佐久間 一幸; 操上 広志; 北村 哲浩; 町田 昌彦; 長谷川 幸弘*; 柳 秀明*

Journal of Environmental Radioactivity, 210, p.105803_1 - 105803_10, 2019/12

 被引用回数:2 パーセンタイル:21.19(Environmental Sciences)

放射能被害地域において空間線量率のシミュレーション精度を向上させるには、環境内の放射性核種の異なる分布、例えば、農地, 都市, 森林の放射能レベル差を考慮して現実的にモデル化する必要がある。さらには建物, 樹木, 地形による$$gamma$$線の遮蔽効果をモデルに考慮すべきである。以下に、福島県の市街地及び農地の3次元モデルの作成システムの概要を述べる。線源設定は$$^{134}$$Cs及び$$^{137}$$Csの放射能分布をモデルのさまざまな環境要素に異なる分布設定が可能である。構造物については、現地の建物モデルにおいては日本の典型的な9種類の建物モデルを用いて作成される。また、樹木については広葉樹と針葉樹モデル、地形モデルは、地形を考慮した地表面モデルを取り込んだ。計算対象のモデルの作成時は、数値標高モデル(DEM),数値表面モデル(DSM)及びユーザー編集の際にサポートする対象領域のオルソ画像で作られる。計算対象のモデルが作成されたら、放射線輸送解析計算コードであるPHITSに適したフォーマットでシステムから出力される。上記のシステムを用いて、福島第一原子力発電所から4km離れた地域でかつ、まだ除染作業が行われてない郊外を計算対象としてモデルを作成した。モデル作成後、PHITSによる空間線量率の計算結果は走行サーベイの実測値との相関があった。


PARaDIM; A PHITS-based Monte Carlo tool for internal dosimetry with tetrahedral mesh computational phantoms

Carter, L. M.*; Crawford, T. M.*; 佐藤 達彦; 古田 琢哉; Choi, C.*; Kim, C. H.*; Brown, J. L.*; Bolch, W. E.*; Zanzonico, P. B.*; Lewis, J. S.*

Journal of Nuclear Medicine, 60(12), p.1802 - 1811, 2019/12

 被引用回数:9 パーセンタイル:80.16(Radiology, Nuclear Medicine & Medical Imaging)



Validating polarization effects in $$gamma$$-rays elastic scattering by Monte Carlo simulation

Omer, M.; 羽島 良一*

New Journal of Physics (Internet), 21(11), p.113006_1 - 113006_10, 2019/11


 被引用回数:4 パーセンタイル:56.93(Physics, Multidisciplinary)

Nuclear resonance fluorescence (NRF) is a promising technique for nondestructive assay (NDA) of nuclear materials. Its strength is improved when polarized $$gamma$$-ray beams are used as probes because the polarized $$gamma$$-rays provide an asymmetry in the intensity of the scattered photons. Nonetheless, NRF interaction takes place with other interactions such as elastic scattering of $$gamma$$-rays. These interactions are unavoidable background which may limit the sensitivity of the NRF technique. Therefore, estimating polarization effects of elastic scattering is a significant factor in assessing the NRF method. Here, we implement a new Monte Carlo simulation to account for polarization effects of the elastic scattering. The simulation is based on explicit expressions driven in the Stokes parameters formalism. The scattering amplitudes of Rayleigh, nuclear Thomson, and Delbr${"u}$ck scattering processes have been superimposed into a two-orthogonal set of complex amplitudes. This set is then exploited to construct the core of the simulation in a way such that the simulation could handle arbitrary polarization states of the incoming beam and correspondingly generate polarization states for the outgoing beam. This work was supported by the subsidiary for promotion of strengthening nuclear security or the like of the Ministry of Education, Culture, Sports, Science, and Technology (MEXT), Japan.


Dosimetric dependence of ocular structures on eye size and shape for external radiation fields of electrons, photons, and neutrons

古田 琢哉; El Basha, D.*; Iyer, S. S. R.*; Correa Alfonso, C. M.*; Bolch, W. E.*

Journal of Radiological Protection, 39(3), p.825 - 837, 2019/09

 被引用回数:1 パーセンタイル:24.18(Environmental Sciences)

人の眼球には多様性があるにもかかわらず、これまでの眼球に対する線量計算シミュレーションでは、ほぼ全ての研究で標準的な一つのモデルが採用されてきた。そこで、本研究では新たに開発した大きさ及び変形が可能な数値眼球モデルを利用し、モンテカルロ放射線輸送計算コードPHITSを用いて、標準的な照射場(AP, PA, RLAT, ROT等)での電子線,光子線および中性子線による眼球内組織の線量を計算した。ここでは、5種類(標準,大型,小型,近視形状型および遠視形状型)の極端な眼球モデルの計算結果の比較に基づき、組織の吸収線量への眼球の大きさや変形が与える影響を解析した。電子線では線量の集中性が高く、吸収線量は眼球表面からの組織の深さに大きく依存して変化する。このため、眼球の大きさや変形に伴い、組織全体の深さ位置が変化することによる吸収線量への顕著な影響が見られた。これに対し、光子線や中性子線では電子線に比べて線量の集中性が弱いため、眼球の大きさや変形による影響が小さいことがわかった。


Solomon; A Monte Carlo solver for criticality safety analysis

長家 康展; 植木 太郎; 外池 幸太郎

Proceedings of 11th International Conference on Nuclear Criticality Safety (ICNC 2019) (Internet), 9 Pages, 2019/09

燃料デブリ体系に対する臨界安全解析のために新規モンテカルロ計算ソルバーSolomonを開発した。Solomonは、通常の臨界安全解析だけでなく、燃料デブリを含む損傷した原子炉の炉心の臨界安全解析もできるように設計されている。本論文では、Solomon開発の現状について述べ、乱雑化ワイエルシュトラス関数モデル, ボクセル形状を重ね合わせた乱雑化ワイエルシュトラス関数モデルの応用について紹介する。


Computation speeds and memory requirements of mesh-type ICRP reference computational phantoms in Geant4, MCNP6, and PHITS

Yeom, Y. S.*; Han, M. C.*; Choi, C.*; Han, H.*; Shin, B.*; 古田 琢哉; Kim, C. H.*

Health Physics, 116(5), p.664 - 676, 2019/05

 被引用回数:6 パーセンタイル:77.19(Environmental Sciences)

国際放射線防護委員会(ICRP)のタスクグループ103により、メッシュ形状の線量評価用人体ファントム(MRCPs)の開発が進められている。この人体ファントムは、将来的には線量評価で用いる標準人体モデルとして採用される予定である。そこで、このMRCPファントムに対するベンチマーク計算を主なモンテカルロ粒子輸送計算コード(Geant4, MCNP6およびPHITS)で行った。様々な粒子およびエネルギーで外部および内部被ばくの計算を実施し、計算時間やメモリ使用量をコード間で比較した。また、ボクセルファントムに対する計算も行い、コード毎の異なるメッシュ表現による性能の違いについて調べた。MRCPのメモリ使用量はGeant4およびMCNP6で10GB程度であったのに対し、PHITSでは1.2GBと顕著に少なかった。また、計算時間に関してもGeant4およびMCNP6ではボクセルファントムに比べてMRCPの計算時間は長くなる傾向を示したが、PHITSでは同程度もしくは短縮する傾向を示した。


Calculation of gamma and neutron emission characteristics emitted from fuel debris as a basis for determination of suitable detector system

Riyana, E. S.; 奥村 啓介; 寺島 顕一

Proceedings of 27th International Conference on Nuclear Engineering (ICONE-27) (Internet), 4 Pages, 2019/05

Determination of fuel debris location and distribution inside primary containment vessel (PCV) of Fukushima Daiichi Nuclear Power Station is important to decide further decommissioning step and strategy. Past measurements not yet provide enough information to determine fuel debris location and its distribution inside PCV. To support further measurements effort, we simulate detector response inside PCV based on calculated photon and neutron emission spectrum produced from fuel debris. The Calculation result could be use as basis for determination of suitable spectrometer system or detector for search, localized, define fuel debris distributions and treatment of fuel debris.


Estimation method of systematic uncertainties in Monte Carlo particle transport simulation based on analysis of variance

橋本 慎太郎; 佐藤 達彦

Journal of Nuclear Science and Technology, 56(4), p.345 - 354, 2019/04

 被引用回数:1 パーセンタイル:24.18(Nuclear Science & Technology)



Continuous energy Monte Carlo criticality calculation of random media under power law spectrum

植木 太郎

Proceedings of International Conference on Mathematics and Computational Methods applied to Nuclear Science and Engineering (M&C 2019) (CD-ROM), p.151 - 160, 2019/00



Overview of computational frog models

木名瀬 栄; Mohammadi, A.*; G$'o$mez-Ros, J.-M.*

Computational Anatomical Animal Models; Methodological Developments and Research Applications, p.5_1 - 5_9, 2018/12

 被引用回数:0 パーセンタイル:0.04

There are limited investigations on the computational frog models and the organ dose evaluations for frogs in environmental protection. In this article, computational frog models and their applications are reviewed to share some perspectives of frog model development in the near future. The authors hope that 3D printing frog phantoms with adequate tissue substitutes should be developed for the validation of the dosimetric quantities by the Monte Carlo simulations.

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