TY  - JOUR
PB  - SciPost Foundation
DO  - 10.21468/SciPostPhysCore.7.3.061
TI  - Unraveling complexity: Singular value decomposition in complex experimental data analysis
PY  - 2024/09/11
UR  - https://scipost.org/SciPostPhysCore.7.3.061
JF  - SciPost Physics Core
JA  - SciPost Phys. Core
VL  - 7
IS  - 3
SP  - 061
A1  - Stein, Judith F.
AU  - Frydman, Aviad
AU  - Berkovits, Richard
AB  - 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.
ER  -

@Article{10.21468/SciPostPhysCore.7.3.061,
	title={{Unraveling complexity: Singular value decomposition in complex experimental data analysis}},
	author={Judith F. Stein and Aviad Frydman and Richard Berkovits},
	journal={SciPost Phys. Core},
	volume={7},
	pages={061},
	year={2024},
	publisher={SciPost},
	doi={10.21468/SciPostPhysCore.7.3.061},
	url={https://scipost.org/10.21468/SciPostPhysCore.7.3.061},
}