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An FSM-Assisted High-Accuracy Autonomous Magnetic Compensation Optimization Method for Dual-Channel SERF
Xinran Tian1, Bo Bao1, Ridong Wang1
1State Key Laboratory of Precision Measurement Technology and Instruments, Tianjin University, Tianjin 300072, China.
Sensors (Basel, Switzerland)
|June 27, 2025
Summary
This study introduces a highly sensitive atomic magnetometer for biomagnetic measurements. A novel compensation algorithm achieves pT-level resolution, improving accuracy for advanced applications.
Area of Science:
- Atomic physics
- Magnetometry
- Biophysics
Background:
- Atomic magnetometers operating in the spin-exchange relaxation-free (SERF) regime offer high sensitivity and miniaturization.
- These magnetometers are crucial for sensitive biomagnetic measurements.
Purpose of the Study:
- To propose and validate a SERF-based atomic magnetometer utilizing 1 × 2 polarization-maintaining fiber (PMF).
- To optimize magnetometer performance through single-beam parameter adjustments and advanced compensation algorithms.
Main Methods:
- Investigated the influence of temperature, pumping laser power, and modulation amplitude on the SERF magnetometer's signal.
- Employed zero-field resonance simulation for compensation accuracy optimization.
- Developed a finite state machine (FSM)-assisted iterative optimization algorithm for magnetic field compensation.
Main Results:
- Achieved a pT-level compensation resolution.
- Demonstrated an error rate below 1.6% in magnetic field compensation.
- Validated the effectiveness of the FSM-assisted iterative optimization algorithm.
Conclusions:
- The developed SERF magnetometer with advanced compensation demonstrates high stability and accuracy.
- This work provides a foundational technology for future biomagnetic measurement arrays.
- Optimized single-beam parameters and FSM algorithm significantly enhance magnetometer performance.
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