em-verification
Skill2 starsChanged 2 months agoMITView on GitHub
复现论文后的结果验证:把论文声称值、Python解析计算、CST仿真结果放到一起对比,找出偏差、分析原因、给出复现结论。触发词:验证结果、对比一下、仿真和论文对得上吗、复现结论、偏差分析、结果校验。
In this repository9 other files it gives its agents.
- cst-automationSkill
- cst-em-simSkill
- cst-modeling-guideSkill
- cst-result-reportSkill
- em-innovationSkill
- em-simulation-pipelineSkill
- paper-formula-falsifySkill
- paper-parserSkill
- visionSkill
The file
Files
复现验证 · 结果对比
目的
论文复现完后,回答核心问题:这篇论文的结果我能复现出来吗?
三方对比
论文声称值 ──┐
├──→ 逐项对比 ──→ 偏差矩阵 ──→ 溯源 ──→ 复现结论
理论解析值 ──┘
CST仿真值 ──┘验证流程
1. 数据对齐
把三个来源的数据按同一指标对齐:
- S参数:谐振频率、S11最小值、10dB带宽
- 方向图:主瓣方向、3dB波束宽度、副瓣电平、前后比
- 增益:峰值增益、增益-频率曲线
- 效率:辐射效率
- 阻抗:输入阻抗实部/虚部
2. 计算偏差
偏差 = |参考值 - 仿真值| / |参考值| × 100%3. 偏差分级
| 等级 | 阈值 | 含义 |
| 绿色 | < 5% | 复现成功,与论文一致 |
| 黄色 | 5%~15% | 有差异,需排查具体原因 |
| 红色 | > 15% | 严重不符,建模或论文本身有问题 |
4. 偏差溯源
黄色和红色指标逐一排查:
- 几何尺寸是否与论文一致?
- 材料参数(εr, tanδ)是否准确?
- 网格是否收敛?→ 建议细化后再跑一遍
- 边界条件是否匹配真实物理场景?
- 端口设置和去嵌是否正确?
- 论文本身是否美化了数据、漏了关键参数?
5. 输出复现结论报告
verification_report.json— 结构化数据verification_report.md— 人类可读的结论报告- 明确给出:哪些能复现、哪些有偏差、偏差原因是什么
对比示例
| 指标 | 论文值 | 理论值 | CST仿真 | 偏差 | 评级 |
| 谐振频率 | 28.0 GHz | 28.3 GHz | 28.1 GHz | 0.4% | 绿色 |
| S11最小值 | -25.0 dB | -23.5 dB | -24.2 dB | 3.2% | 绿色 |
| 10dB带宽 | 3.3 GHz | 3.1 GHz | 3.6 GHz | 9.1% | 黄色 |
| 峰值增益 | 7.2 dBi | 6.8 dBi | 7.0 dBi | 2.9% | 绿色 |
| 3dB波束宽度 | 78° | — | 82° | 5.1% | 黄色 |
常见偏差原因及对策
| 现象 | 可能原因 | 建议操作 |
| 谐振频率偏移 | εr 实际值不对/边缘场效应 | 核对材料数据、细化网格 |
| 带宽偏宽 | 损耗算少了 | 检查导体/介质损耗设置 |
| 增益偏低 | 导体损耗/端口失配 | 检查PEC设置、端口匹配 |
| S11形貌差异大 | 几何参数偏差 | 逐尺寸核对、网格细化 |
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