Unraveling Complexity: Singular Value Decomposition in Complex Experimental Data Analysis
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arXiv
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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866916333270073344 |
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| author | Stein, Judith F. Frydman, Aviad Berkovits, Richard |
| author_facet | Stein, Judith F. Frydman, Aviad Berkovits, Richard |
| contents | Analyzing complex experimental data with multiple parameters is challenging. We propose using Singular Value Decomposition (SVD) as an effective solution. This method, demonstrated through real experimental data analysis, surpasses conventional approaches in understanding complex physics data. Singular values and vectors distinguish and highlight various physical mechanisms and scales, revealing previously challenging elements. SVD emerges as a powerful tool for navigating complex experimental landscapes, showing promise for diverse experimental measurements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2407_16267 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Unraveling Complexity: Singular Value Decomposition in Complex Experimental Data Analysis Stein, Judith F. Frydman, Aviad Berkovits, Richard Data Analysis, Statistics and Probability Disordered Systems and Neural Networks Mesoscale and Nanoscale Physics Analyzing complex experimental data with multiple parameters is challenging. We propose using Singular Value Decomposition (SVD) as an effective solution. This method, demonstrated through real experimental data analysis, surpasses conventional approaches in understanding complex physics data. Singular values and vectors distinguish and highlight various physical mechanisms and scales, revealing previously challenging elements. SVD emerges as a powerful tool for navigating complex experimental landscapes, showing promise for diverse experimental measurements. |
| title | Unraveling Complexity: Singular Value Decomposition in Complex Experimental Data Analysis |
| topic | Data Analysis, Statistics and Probability Disordered Systems and Neural Networks Mesoscale and Nanoscale Physics |
| url | https://arxiv.org/abs/2407.16267 |