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Physics > Plasma Physics

arXiv:2507.18324 (physics)
[Submitted on 24 Jul 2025 (v1) , last revised 3 Oct 2025 (this version, v2)]

Title: Plasma Position Constrained Free-Boundary MHD Equilibrium in Tokamaks using pyIPREQ

Title: 使用pyIPREQ的托卡马克中等离子体位置约束的自由边界MHD平衡

Authors:Udaya Maurya, Amit K. Singh, Suman Aich, Jagabandhu Kumar, Rohit Kumar, Daniel Raju
Abstract: A free-boundary, axisymmetric magnetohydrodynamic (MHD) equilibrium code, pyIPREQ, has been developed for Tokamak plasmas using finite difference and Green's function approach. The code builds upon the foundational frameworks of the PEST and IPREQ codes, introducing several enhancements and new capabilities. Notably, pyIPREQ supports the specification of limiter boundaries and enables the computation of key physical quantities. The code has also been extended to compute equilibria constrained by a prescribed magnetic axis position, which is particularly useful when such information can be inferred from the diagnostics data. In addition, pyIPREQ includes functionality to address vertical instabilities, a requirement for accurately modeling elongated plasma configurations. Benchmarking has been carried out against published results and the original IPREQ code. Applications are demonstrated for ADITYA-U Tokamak experiments, where magnetic axis measurements are available, and predictions are also made for SST-1 and ADITYA-U Tokamaks under various operational scenarios.
Abstract: 一个自由边界、轴对称磁流体动力学(MHD)平衡代码 pyIPREQ 已经开发出来,用于托卡马克等离子体,使用有限差分和格林函数方法。 该代码基于 PEST 和 IPREQ 代码的基础框架,引入了若干改进和新功能。 值得注意的是,pyIPREQ 支持限制器边界的指定,并能够计算关键物理量。 该代码还被扩展为计算受预定磁轴位置约束的平衡,这在可以从诊断数据中推断出此类信息时特别有用。 此外,pyIPREQ 包含处理垂直不稳定的功能,这是准确建模拉长等离子体配置的要求。 已与发表的结果和原始 IPREQ 代码进行基准测试。 在 ADITYA-U 托卡马克实验中展示了应用,其中存在磁轴测量值,并且还对 SST-1 和 ADITYA-U 托卡马克在各种运行场景下的预测进行了说明。
Comments: 11 pages, 21 figures, 13 tables
Subjects: Plasma Physics (physics.plasm-ph)
Cite as: arXiv:2507.18324 [physics.plasm-ph]
  (or arXiv:2507.18324v2 [physics.plasm-ph] for this version)
  https://doi.org/10.48550/arXiv.2507.18324
arXiv-issued DOI via DataCite
Journal reference: IPR/RR-1778/2025
Related DOI: https://doi.org/10.1063/5.0290301
DOI(s) linking to related resources

Submission history

From: Udaya Maurya [view email]
[v1] Thu, 24 Jul 2025 11:50:38 UTC (648 KB)
[v2] Fri, 3 Oct 2025 05:33:45 UTC (709 KB)
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