SciPost Submission Page
Unraveling Complexity: Singular Value Decomposition in Complex Experimental Data Analysis
by Judith F. Stein, Aviad Frydman , Richard Berkovits
Submission summary
| Authors (as registered SciPost users): | Richard Berkovits |
| Submission information | |
|---|---|
| Preprint Link: | scipost_202403_00009v1 (pdf) |
| Date submitted: | 2024-03-07 19:14 |
| Submitted by: | Berkovits, Richard |
| Submitted to: | SciPost Physics Core |
| Ontological classification | |
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| Academic field: | Physics |
| Specialties: |
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| Approaches: | Experimental, Computational, Phenomenological |
Abstract
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 value amplitudes 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.
Current status:
In refereeing