刘明宏 82f558e2c9 code
Signed-off-by: 刘明宏 <liuminghong@mail.sdu.edu.cn>
2025-06-19 15:50:19 +00:00
2025-06-19 15:50:19 +00:00
2025-05-08 23:54:27 +00:00
2023-07-28 15:28:56 +00:00
2023-08-05 03:35:04 +00:00

MT1D

介绍 Description

传统的大地电磁学正演算法通常只考虑电导率的影响。然而,随着观测频率的增加,位移电流的影响变得更加显著,特别是在高电阻率和高介电常数条件下。忽略位移电流将导致不正确的MT正向响应。在高磁化强度区域,磁响应也不容忽视。我们的RMT1D代码的参考了Peng和Han的Julia开源代码(https://github.com/CUG-EMI/EM3DANI)。 我们将他们的代码改编为MATLAB语言,并考虑了介电常数和磁导率。

Traditional MT forward modeling algorithms typically only consider the influence of conductivity. However, as the observation frequency increases, the impact of displacement currents becomes more significant, especially under high-resistivity and high-permittivity conditions. Neglecting displacement currents would result in incorrect MT forward responses. In regions with high magnetization, magnetic response cannot be ignored either. Our MT 1D forward code was inspired by Peng and Han's open-source Julia code(https://github.com/CUG-EMI/EM3DANI). We adapted their code to the MATLAB language and incorporated considerations for dielectric constant and permeability.

仓库描述
传统的大地电磁学正演算法通常只考虑电导率的影响。然而,随着观测频率的增加,位移电流的影响变得更加显著,特别是在高电阻率和高介电常数条件下。忽略位移电流将导致不正确的MT正向响应。在高磁化强度区域,磁响应也不容忽视。我们的RMT1D代码的参考了Peng和Han的Julia开源代码(https://github.com/CUG-EMI/EM3DANI)。 我们将他们的代码改编为MATLAB语言,并考虑了介电常数和磁导率。
自述文档 GPL-3.0 795 KiB
编程语言
MATLAB 100%