Nonreciprocal recovery of electromagnetically induced transparency by wavenumber mismatch in hot atoms - Data and code for analysis

EIT in hot atomic vapors Electromagnetically induced transparency (EIT) in Doppler-broadened systems of atomic vapors depend strongly on the relative wavelengths of the EIT fields. It is well-known that in three-level ladder-systems, the transmission on EIT resonance can be strongly enhanced in a when the lower transition has a longer wavelength than the upper transition and when the two fields are counter-propagating. For the same wavelength mismatch but co-propagating probe and control fields the Doppler effect leads to no transmission. The data set contained in this collection show exactly this effect. This collection contains time-binned experimental data and code for the data analysis. The data published here are part of a tutorial (DOI to be provided) submitted to New Journal of Physics special issue on Hot Atomic Vapors 2024. Experimental data: The experimental data published here are time-binned and normalized transmission spectra of a 780 nm weak probe laser through a rubidium vapor cell at room temperature (25 degree). The transmission is measured in the presence (abscense) of a 480 nm control field and for both co- and counter-propagating geometry of the probe and control fields. The final row (FitCoPro) is a fit to the co-propagating absorption spectrum. This fit serves as a reference to assign the correct frequency axis to the experimental data. The fit is created with ElecSus (https://github.com/durham-qlm/ElecSus). In case of questions for the data, or of interest in accessing the full original datasets (not time-binned, not normalized), please contact Nina Stiesdal or Sebastian Hofferberth. Analysis code and theory fits: The code contained in this collection solves the Hamiltonian presented in the main text and plots eigenvalues and susceptibilities for different cases. For this calculation, it is necessary to include parameters specific to the atomic species of interest. We use the Alkali Rydberg Calculator ARC (https://github.com/nikolasibalic/ARC-Alkali-Rydberg-Calculator) for this. We further compare theoretically predicted transmission to the experimental measurements. The theoretical predictions are saved to the files LinearSusceptibility_Counterpropagating_Rb_Temperature_296.15.txt and LinearSusceptibility_Counterpropagating_Rb_Temperature_296.15.txt These susceptibilities are calculated as discussed in the main publication. In case of questions to the code or calculations, please contact Lida Zhang.