消除传统IMC代码中的隐形传态错误(没有倾斜，只需简单的最小修改)

IF 0.7 4区工程技术 Q3 MATHEMATICS, APPLIED

Journal of Computational and Theoretical Transport Pub Date : 2020-06-06 DOI:10.1080/23324309.2020.1785893

Gaël Poëtte, Xavier Valentin, Adrien Bernede

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引用次数: 7

摘要

摘要光子学的蒙特卡罗（MC）方案在过去几十年中得到了深入的研究。最近的ISMC方案具有许多优点（没有隐形传态误差，相对于空间和时间离散的收敛行为）。但它与IMC有很大不同（它基于不同的线性化，需要稍微不同的代码架构）。另一方面，遗留代码通常基于IMC实现。由于这个原因，能够消除IMC码内的传送错误仍然很重要。在IMC框架内消除隐形传送误差对于IMC和ISMC线性化之间的公平比较也很重要。本文旨在提出一些简单的校正方法，应用于IMC实现，以完全消除隐形传态误差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Canceling Teleportation Error in Legacy IMC Code for Photonics (Without Tilts, With Simple Minimal Modifications)

Abstract Monte Carlo (MC) schemes for photonics have been intensively studied throughout the past decades. The recent ISMC scheme presents many advantages (no teleportation error, converging behavior with respect to the spatial and time discretisations). But it is rather different from the IMC one (it is based on a different linearization and needs a slightly different code architecture). On another hand, legacy codes are often based on IMC implementations. For this reason, it remains important to be able to cancel the teleportation error within IMC codes. Canceling the teleportation error within the IMC framework is also important for fair comparisons between both the IMC and the ISMC linearisations. This paper aims at suggesting some simple corrections to apply to an IMC implementation to completely cancel the teleportation error.

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来源期刊

Journal of Computational and Theoretical Transport Mathematics-Mathematical Physics

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： Emphasizing computational methods and theoretical studies, this unique journal invites articles on neutral-particle transport, kinetic theory, radiative transfer, charged-particle transport, and macroscopic transport phenomena. In addition, the journal encourages articles on uncertainty quantification related to these fields. Offering a range of information and research methodologies unavailable elsewhere, Journal of Computational and Theoretical Transport brings together closely related mathematical concepts and techniques to encourage a productive, interdisciplinary exchange of ideas.