Sparse optimization of two-dimensional terahertz spectroscopy
(2025) In APL Photonics 10(9).- Abstract
Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analog of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem with 2DTS is the long experimental acquisition times, which prevent its broader adoption. A potential solution, requiring no increase in experimental complexity, is signal reconstruction via compressive sensing. In this work, we apply the sparse exponential mode analysis (SEMA) technique to 2DTS of a cuprate superconductor. We benchmark the performance of the algorithm in reconstructing terahertz nonlinearities and find that SEMA reproduces the asymmetric photon echo line shapes at sampling rates as low as 10%,... (More)
Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analog of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem with 2DTS is the long experimental acquisition times, which prevent its broader adoption. A potential solution, requiring no increase in experimental complexity, is signal reconstruction via compressive sensing. In this work, we apply the sparse exponential mode analysis (SEMA) technique to 2DTS of a cuprate superconductor. We benchmark the performance of the algorithm in reconstructing terahertz nonlinearities and find that SEMA reproduces the asymmetric photon echo line shapes at sampling rates as low as 10%, reaching the reconstruction noise floor at sampling rates beyond 20%-30%. The success of SEMA in reproducing such subtle, asymmetric line shapes confirms compressive sensing as a general method to accelerate 2DTS and multidimensional spectroscopies more broadly.
(Less)
- author
- Wang, Z. ; Da, H. ; Disa, A. S. ; Pullerits, T. LU ; Liu, A. and Schlawin, F.
- organization
- publishing date
- 2025-09
- type
- Contribution to journal
- publication status
- published
- subject
- in
- APL Photonics
- volume
- 10
- issue
- 9
- article number
- 096107
- publisher
- American Institute of Physics (AIP)
- external identifiers
-
- scopus:105015424684
- ISSN
- 2378-0967
- DOI
- 10.1063/5.0276901
- language
- English
- LU publication?
- yes
- id
- be9457bd-a6ce-4a61-b10b-c5f6141c39b2
- date added to LUP
- 2025-10-15 16:04:51
- date last changed
- 2025-10-15 16:05:52
@article{be9457bd-a6ce-4a61-b10b-c5f6141c39b2,
abstract = {{<p>Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analog of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem with 2DTS is the long experimental acquisition times, which prevent its broader adoption. A potential solution, requiring no increase in experimental complexity, is signal reconstruction via compressive sensing. In this work, we apply the sparse exponential mode analysis (SEMA) technique to 2DTS of a cuprate superconductor. We benchmark the performance of the algorithm in reconstructing terahertz nonlinearities and find that SEMA reproduces the asymmetric photon echo line shapes at sampling rates as low as 10%, reaching the reconstruction noise floor at sampling rates beyond 20%-30%. The success of SEMA in reproducing such subtle, asymmetric line shapes confirms compressive sensing as a general method to accelerate 2DTS and multidimensional spectroscopies more broadly.</p>}},
author = {{Wang, Z. and Da, H. and Disa, A. S. and Pullerits, T. and Liu, A. and Schlawin, F.}},
issn = {{2378-0967}},
language = {{eng}},
number = {{9}},
publisher = {{American Institute of Physics (AIP)}},
series = {{APL Photonics}},
title = {{Sparse optimization of two-dimensional terahertz spectroscopy}},
url = {{http://dx.doi.org/10.1063/5.0276901}},
doi = {{10.1063/5.0276901}},
volume = {{10}},
year = {{2025}},
}