Synchronous coherent population trapping and its magnetic spectral response in rubidium vapor

Pati, G. S.; Tripathi, Renu; Grewal, Raghwinder Singh; Pulido, Mauricio; Depto, Robin

doi:10.1103/physreva.104.033116

Cited by 9 publications

(1 citation statement)

References 27 publications

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“…2b shows the spectrum calculated by the 8-level theoretical model using the master equation. Despite of the qualitative agreement, the experimental spectra deviates from the theory results because it is impractical to include in the model the unknown magnetic field gradients within the cell, as well as the atomic motion of the atoms [53,54], etc. Therefore, relying on the master equation theory model in establishing the rela-tion between the signals and the B field parameters is generally not suitable, while the NN can provide a better solution.…”

Section: Experiments Resultsmentioning

confidence: 73%

Machine Learning Assisted Vector Atomic Magnetometry

Meng¹,

Zhang²,

Zhang³

et al. 2023

Preprint

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We propose a novel paradigm to vector magnetometry based on machine learning. Unlike conventional schemes where one measured signal explicitly connects to one parameter, here we encode the three-dimensional magnetic-field information in the set of four simultaneously acquired signals, i.e., the oscillating optical rotation signal's harmonics of a frequency modulated laser beam traversing the atomic sample. The map between the recorded signals and the vectorial field information is established through a pre-trained deep neural network. We demonstrate experimentally a single-shot all optical vector atomic magnetometer, with a simple scalar-magnetometer design employing only one elliptically-polarized laser beam and no additional coils. Magnetic field amplitude sensitivities of about 100 fT/ √ Hz and angular sensitivities of about 100 µrad/ √ Hz (for a magnetic field of about 140 nT) are derived from the neural network. Our approach can reduce the complexity of the architecture of vector magnetometers, and may shed light on the general design of multiparameter sensing.

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Section: Experiments Resultsmentioning

confidence: 73%

Machine Learning Assisted Vector Atomic Magnetometry

Meng¹,

Zhang²,

Zhang³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Temperature Dependence of the Linewidths and Amplitudes of the Sub-Doppler Resonances of 87Rb D2 Line Detected with σ(σ)-Polarized Pumping and Probe Laser Beams

Şahin

2024

J Russ Laser Res

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Single-shot vector magnetic measurements using synchronous coherent population trapping resonance in a feedback compensation system

Pati,

Tripathi,

Pulido

2023

Journal of Applied Physics

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We demonstrate a real-time, single-shot vector magnetic measurement technique using synchronous coherent population trapping (SCPT) in an apparatus consisting of a small rubidium vapor cell. Vector modality of our magnetometer is enabled by designing a feedback system based on performing a peak-lock on a particularly strong 2ΩL magnetic resonance produced in the SCPT spectrum and compensating the external magnetic field via a three-axis field coil. With its current design, this magnetometer exhibits high sensitivities of approximately 155, 129, and 57pT/Hz in measuring the magnetic field vector components along the (x,y,z) axes. Sensitivities closer to the shot-noise limit can be achieved in the future by reducing the technical noise of our equipment and by employing a differential detection and polarization rotation measurement scheme in our system.

show abstract

Synchronous coherent population trapping and its magnetic spectral response in rubidium vapor

Cited by 9 publications

References 27 publications

Machine Learning Assisted Vector Atomic Magnetometry

Machine Learning Assisted Vector Atomic Magnetometry

Temperature Dependence of the Linewidths and Amplitudes of the Sub-Doppler Resonances of 87Rb D2 Line Detected with σ(σ)-Polarized Pumping and Probe Laser Beams

Single-shot vector magnetic measurements using synchronous coherent population trapping resonance in a feedback compensation system

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