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Superluminal propagation: time-space pulses

Version 1.0

Gładysz, Piotr, 2024, "Superluminal propagation: time-space pulses", https://doi.org/10.18150/Z5U8MG, RepOD, V1

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Description

Superluminal light propagation usually comes with high absorption, which can hinder its detection in practical samples. We suggest an all-optical approach using the two-photon resonance in three-level media to solve this issue.

We operate in a far-detuned regime with minimal absorption, thus eliminating the usual requirements for population inversion, gain assistance, or nonlinear optical response.

Our comprehensive analysis explores a wide range of parameters to identify conditions where significant pulse advancement is possible with high transmission levels. We introduce a figure of merit that balances the desired group-index values and transmission level, aiding in pinpointing the optimal characteristics of the dressing beam. Based on that figure of merit we calculated the exact propagations of pulses under different conditions, which are given in this dataset.

(2024-06-03)
Subject
Physics

CC BY - Creative Commons Attribution 4.0 CC BY - Creative Commons Attribution 4.0

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Data.zip
ZIP Archive - 1.6 GB - Jun 14, 2024 - 1 Download
MD5: f9a521d6ccfef2ae7e72ea2388e8d8de
License: CC BY - Creative Commons Attribution 4.0
Set of data in ten catalogs. Each catalog contains probe and control pulses time-space points for different frequencies for the propagation in the medium described in the publication "Superluminal light propagation in a three-level ladder system". Catalogs named "broad" contain data for temporarily broad probe pulses (Fig. 6). At the same time "narrow" corresponds to the data for temporarily narrow probe pulses (Fig. 7). Points numbers correspond to the points in Fig. 5. All the files are saved in .pkl format which is available in Python by using the library "pickle". Names of the files are numbers that correspond to the detuning times constant value provided in the publication. Moreover, the Point 5 dataset is twice the size as it contains more points for higher accuracy. Each file has a structure: [probe pulse, control pulse] saved as a Python list, while both probe and control are 2D arrays with spatial distribution in rows and temporal in columns. The other plots in the publication are obtained by the analytical plotting of the given equations and hence are easily reproducible.
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README.txt
Plain Text - 1.6 KB - Jun 14, 2024 - 2 Downloads
MD5: 1356009831dcb5fc83f4423451f6516d
License: CC BY - Creative Commons Attribution 4.0
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