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arXiv 0902.1762physics.plasm-phphysics.comp-ph
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相对论性二元碰撞的统计动力学处理

Statistical kinetic treatment of relativistic binary collisions

F. Peano, M. Marti, L. O. Silva, G. Coppa

摘要:

在基于粒子的算法中,通常使用蒙特卡罗技术以统计方式描述二元碰撞的影响。它表明,在相对论制度,严格的限制,应考虑对碰撞粒子对的采样,这是至关重要的,以确保物理上有意义的结果,和非相对论采样标准(例如,均匀随机配对)产生定性错误的结果,包括不同于理论Jüttner分布的平衡分布。给出了相对论相容算法的一般步骤,并用三维蒙特卡罗模拟进行了验证,从而为数值探索碰撞相对论系统的统计性质开辟了道路。

英文摘要:

In particle-based algorithms, the effect of binary collisions is commonly described in a statistical way, using Monte Carlo techniques. It is shown that, in the relativistic regime, stringent constraints should be considered on the sampling of particle pairs for collision, which are critical to ensure physically meaningful results, and that nonrelativistic sampling criteria (e.g., uniform random pairing) yield qualitatively wrong results, including equilibrium distributions that differ from the theoretical Jüttner distribution. A general procedure for relativistically consistent algorithms is provided, and verified with three-dimensional Monte Carlo simulations, thus opening the way to the numerical exploration of the statistical properties of collisional relativistic systems.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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