Extraction of initial dynamics of magnetic micro-convection
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866915112287207424 |
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| author | Klevs, Mārtiņš Tatuļčenkovs, Andrejs Puķina-Slava, Lāsma Kitenbergs, Guntars |
| author_facet | Klevs, Mārtiņš Tatuļčenkovs, Andrejs Puķina-Slava, Lāsma Kitenbergs, Guntars |
| contents | Complex fluid flows are important in many real-life problems. For an in-depth understanding, new and more elaborate methods of flow description are necessary. Often experimental and numerical data are accumulated in large quantities however only simple flow properties are extracted. Here we show an approach that allows quantitative extraction of the initial dynamics for magnetic micro-convection. It analyzes the initial time dynamics of the Fourier coefficients of the 2D flow snapshots. We demonstrate its effectiveness in both numeric and experimental data. In addition, the method is refined to account for noise that can be present in real-world data. This method can serve as a tool to directly compare mathematical models with experiments. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_16511 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Extraction of initial dynamics of magnetic micro-convection Klevs, Mārtiņš Tatuļčenkovs, Andrejs Puķina-Slava, Lāsma Kitenbergs, Guntars Fluid Dynamics Complex fluid flows are important in many real-life problems. For an in-depth understanding, new and more elaborate methods of flow description are necessary. Often experimental and numerical data are accumulated in large quantities however only simple flow properties are extracted. Here we show an approach that allows quantitative extraction of the initial dynamics for magnetic micro-convection. It analyzes the initial time dynamics of the Fourier coefficients of the 2D flow snapshots. We demonstrate its effectiveness in both numeric and experimental data. In addition, the method is refined to account for noise that can be present in real-world data. This method can serve as a tool to directly compare mathematical models with experiments. |
| title | Extraction of initial dynamics of magnetic micro-convection |
| topic | Fluid Dynamics |
| url | https://arxiv.org/abs/2410.16511 |