Nonlinear magneto-optical resonances at D1 excitation of 85Rb and 87Rb in an extremely thin cell
M. Auzinsh (1), R. Ferber (1), F. Gahbauer (1), A. Jarmola (1), L., Kalvans (1), A. Papoyan (2), D. Sarkisyan (2) ((1) Laser Centre, The, University of Latvia, Riga, Latvia, (2) Institute for Physical Research,, Ashtarak, Armenia)

TL;DR
This study investigates nonlinear magneto-optical resonances in an extremely thin cell for rubidium D1 transitions, revealing unique dependence on laser detuning and applying a detailed theoretical model to match experimental results.
Contribution
It extends the theoretical model of nonlinear magneto-optical resonances to extremely thin cells, accounting for their unique relaxation and Doppler effects, and compares with experimental data.
Findings
Resonance width and contrast depend strongly on laser detuning in the ETC.
Theoretical model successfully describes resonance shapes with modified parameters.
Agreement between experiment and theory is satisfactory, highlighting key physical processes.
Abstract
Nonlinear magneto-optical resonances have been measured in an extremely thin cell (ETC) for the D1 transition of rubidium in an atomic vapor of natural isotopic composition. All hyperfine transitions of both isotopes have been studied for a wide range of laser power densities, laser detunings, and ETC wall separations. Dark resonances in the laser induced fluorescence (LIF) were observed as expected when the ground state total angular momentum F_g was greater than or equal to the excited state total angular momentum F_e. Unlike the case of ordinary cells, the width and contrast of dark resonances formed in the ETC dramatically depended on the detuning of the laser from the exact atomic transition. A theoretical model based on the optical Bloch equations was applied to calculate the shapes of the resonance curves. The model averaged over the contributions from different atomic velocity…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
