Sparse Optimization of Two-Dimensional Terahertz Spectroscopy
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arXiv
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| Main Authors: | , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866912601917620224 |
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| author | Wang, Zhengjun Da, Hongju Disa, Ankit S. Pullerits, Tonu Liu, Albert Schlawin, Frank |
| author_facet | Wang, Zhengjun Da, Hongju Disa, Ankit S. Pullerits, Tonu Liu, Albert Schlawin, Frank |
| contents | Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analogue of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem of 2DTS is the long experimental acquisition times, preventing 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 the terahertz nonlinearities and find that SEMA reproduces the asymmetric photon echo lineshapes with as low as a 10% sampling rate and reaches the reconstruction noise floor with beyond 20-30% sampling rate. The success of SEMA in reproducing such subtle, asymmetric lineshapes confirms compressive sensing as a general method to accelerate 2DTS and multidimensional spectroscopies more broadly. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2409_13101 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Sparse Optimization of Two-Dimensional Terahertz Spectroscopy Wang, Zhengjun Da, Hongju Disa, Ankit S. Pullerits, Tonu Liu, Albert Schlawin, Frank Optics Materials Science Two-dimensional terahertz spectroscopy (2DTS) is a low-frequency analogue of two-dimensional optical spectroscopy that is rapidly maturing as a probe of a wide variety of condensed matter systems. However, a persistent problem of 2DTS is the long experimental acquisition times, preventing 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 the terahertz nonlinearities and find that SEMA reproduces the asymmetric photon echo lineshapes with as low as a 10% sampling rate and reaches the reconstruction noise floor with beyond 20-30% sampling rate. The success of SEMA in reproducing such subtle, asymmetric lineshapes confirms compressive sensing as a general method to accelerate 2DTS and multidimensional spectroscopies more broadly. |
| title | Sparse Optimization of Two-Dimensional Terahertz Spectroscopy |
| topic | Optics Materials Science |
| url | https://arxiv.org/abs/2409.13101 |