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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
Academic field: Physics
  • Condensed Matter Physics - Experiment
  • Condensed Matter Physics - Computational
  • Mathematical Physics
  • Statistical and Soft Matter Physics
Approaches: Experimental, Computational, Phenomenological


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

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