dissertation on customer service Reactor Monte Carlo Phd Thesis. Who can help me write an essay Follow the most reliable writing online, research developers you with more difficult reactor monte carlo phd thesis level, artificially. We work with well-educated complicated your paper can buy custom reactor monte carlo phd thesisreactor monte carlo Disclaimer: All the research Reactor Monte Carlo Phd Thesis and custom writing services provided by the Company have limited use as stated in the Terms and Conditions. The customer ordering the services is not in any way authorized to reproduce or Reactor Monte Carlo Phd Thesis copy both a completed paper (essay, term paper, research paper coursework, dissertation, others) or specific Reactor Monte Carlo Phd Thesis, Dissertation Paper Writing Services, Top Assignment Ghostwriter Site For University, When Quoting An Article Title In An Essay Essay Re-writing If your essay is already written and needs to be corrected for proper syntax, grammar and spelling, this option is for you
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In criticality calculations, the effective multiplication factor k{sub eff} is an important parameter for reactor analysis. It can be interpreted as the ratio of the neutron production rate to the loss rate in a reactor core. Since all neutron particles in a cycle will be absorbed or leaks out at the end, the loss rate, L{sub i}, can be set as the source rate, which is the unity.
Thus, in MCNP5, k{sub i} is simply calculated with P{sub i} by using three conventional estimators; collision, absorption, and track-length estimators. In domain decomposed MC criticality calculations based on the fission and surface source FSS iteration method, k{sub i} is calculated by a ratio of P{sub i} and L{sub i}, where both P{sub i} and L{sub i} are random variables, sampled by using the same particle histories.
When the numerator and the denominator are correlated, reactor monte carlo phd thesis, the more » variance of the ratio can be smaller than that of the numerator. Then, the final estimate reactor monte carlo phd thesis k{sub eff} is provided as the sample mean of k{sub i}, which will be referred as 'simple' ratio estimator in this paper.
In Ref. A similar ratio estimator is also used in Serpent 2, as an implicit estimate of k{sub eff}. However, this type of 'simple' ratio estimator is biased, which means that the expectation of the ratio is different from the ratio of the expectation of the numerator and that of the denominator.
In this paper, an unbiased ratio estimator which was originally derived in the cytometry analysis is introduced to estimate k{sub eff} and is tested on a continuous-energy UO{sub 2} pin-cell problem.
In this test problem, it is shown that the variance of the unbiased ratio estimator is smaller than those of the conventional estimators provided by MCNP5, while the simple ratio estimator can be significantly biased when the number of histories per cycle is too small. authors « less. Similar records in OSTI. GOV collections:. GOV Journal Article: Unbiased Ratio Estimator for k-Eigenvalue in Monte Carlo Criticality Calculations.
Title: Unbiased Ratio Estimator for k-Eigenvalue in Monte Carlo Criticality Calculations. Full Record Other Related Research. Abstract In criticality calculations, the effective multiplication factor k{sub eff} is an important parameter for reactor analysis. Citation Formats MLA APA Chicago BibTeX. Jo, YuGwon, and Cho, reactor monte carlo phd thesis, Nam Zin. Unbiased Ratio Estimator for k-Eigenvalue in Monte Carlo Criticality Calculations. United States: N.
Copy to clipboard. United States. When the numerator and the denominator are correlated, the variance of the ratio can be smaller than that of the numerator.
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Jul 01, · @article{osti_, title = {Unbiased Ratio Estimator for k-Eigenvalue in Monte Carlo Criticality Calculations}, author = {Jo, YuGwon and Cho, Nam Zin}, abstractNote = {In criticality calculations, the effective multiplication factor (k{sub eff}) is an important parameter for reactor analysis. It can be interpreted as the ratio of the neutron production rate to the loss rate in a reactor core A DISSERTATION Presented to the Faculty of the Graduate School of the PhD in nuclear engineering. The devoted work of this dissertation could have not been done without the VHTR Very High Temperature Reactor MCNP Monte Carlo N-Particle Transport Code continuous energy Monte Carlo method is well suited for solving such core environments with the detailed representation of the complicated 3-D problem. The major advantages of the Monte Carlo method over the deterministic methods are the continuous energy treatment and the exact 3-D geometry modeling. However, the Monte Carlo methodCited by: 11
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