4.7 Article

Ultra-high consistency multichannel SERF atomic magnetometer based on diffractive optics

Journal

SENSORS AND ACTUATORS A-PHYSICAL
Volume 365, Issue -, Pages -

Publisher

ELSEVIER SCIENCE SA
DOI: 10.1016/j.sna.2023.114868

Keywords

Multichannel SERF magnetometer; Diffractive optical element; Relaxation rate; High consistency

Ask authors/readers for more resources

This study proposed an efficient and high-quality beam-splitting method based on a diffractive optical element, enabling multichannel SERF atomic magnetometers to achieve ultra-high consistency and sensitivity. It has significant applications in array biomagnetic measurement systems.
Multichannel spin-exchange relaxation-free (SERF) atomic magnetometers (AMs) have broad application prospects in array biomagnetic measurement systems because of their high spatial resolution. This study proposed an efficient and high-quality beam-splitting method based on a diffractive optical element (DOE), which enables multichannel SERF AM to maintain ultrahigh consistency with a channel interval of 3.27 mm. Based on the relaxation rate model under zero-field resonance, the minor differences in the magnetic linewidth of each channel were analyzed. The experimental results demonstrated ultra-high consistency of the magnetic field measurement signals between multiple channels, with a nonlinear error of less than 0.1%. The optimal sensitivity for a single channel was 11.9 fT/Hz1/2 @31.5 Hz, and 9.3 fT/Hz1/2 @31.5 Hz in the first-order gradiometer mode. The structure also satisfied the requirements of long-term high stability and high sensitivity, which are expected to further obtain more measurement channels. This method plays a critical role in improving the accuracy of magnetocardiography (MCG) and magnetoencephalography (MEG) systems.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available