Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy

Namuduri, Srikanth; Titze, Michael; Bhansali, Shekhar; Li, Hebin

doi:10.1364/JOSAB.385195

Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy

Journal Article · Thu Mar 05 23:00:00 EST 2020 · Journal of the Optical Society of America. Part B, Optical Physics

DOI:https://doi.org/10.1364/JOSAB.385195· OSTI ID:1617317

Namuduri, Srikanth ^[1]; ^[2]; Bhansali, Shekhar ^[1]; ^[1]

Florida International Univ., Miami, FL (United States)
Florida International Univ., Miami, FL (United States); Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

Optical two-dimensional (2D) coherent spectroscopy excels in studying coupling and dynamics in complex systems. The dynamical information can be learned from lineshape analysis to extract the corresponding linewidth. However, it is usually challenging to fit a 2D spectrum, especially when the homogeneous and inhomogeneous linewidths are comparable. We implemented a machine learning algorithm to analyze 2D spectra to retrieve homogeneous and inhomogeneous linewidths. The algorithm was trained using simulated 2D spectra with known linewidth values. The trained algorithm can analyze both simulated (not used in training) and experimental spectra to extract the homogeneous and inhomogeneous linewidths. Finally, this approach can be potentially applied to 2D spectra with more sophisticated spectral features.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Sponsoring Organization:: USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC04-94AL85000

OSTI ID:: 1617317

Report Number(s):: SAND--2020-4169J; 685393

Journal Information:: Journal of the Optical Society of America. Part B, Optical Physics, Journal Name: Journal of the Optical Society of America. Part B, Optical Physics Journal Issue: 6 Vol. 37; ISSN JOBPDE; ISSN 0740-3224

Publisher:: Optical Society of America (OSA)Copyright Statement

Country of Publication:: United States

Language:: English

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Machine learning enabled lineshape analysis in optical two-dimensional coherent spectroscopy

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