6–8 Aug 2025
PSI
Europe/Zurich timezone

SERF Comagnetometer Based on Self-differential Mode

7 Aug 2025, 18:00
5m
WHGA/001 - Auditorium (PSI)

WHGA/001 - Auditorium

PSI

Speaker

Saixin Zhou (1 School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China; 2 Hefei National Laboratory, Hefei, 230088, Anhui, China)

Description

Spin-exchange relaxation-free (SERF) comagnetometer is significant in exploring fundamental physics and high-precision inertial sensing. However, traditional continuous measurement based on steady atomic spin polarization limits the suppression of long-term drifts, which is pivotal for inertial navigation and the search for new physics beyond standard model.We propose a SERF comagnetometer based on self-differential measurement mode using reverse-modulated atomic spin polarization for signal enhancement and noise suppression, as is shown in Fig.1(a). We analyze the dynamic evolutions of alkali electron spin and noble-gas nuclear spin under the pulsed left- and right-circularly polarized pumping scheme. To ensure that the comagnetometer operates in self-compensation regime[Phys. Rev. Lett. 130 . 063201(2023)], we reverse the electron spin while keeping the nuclear spin polarization stable by optimizing the modulation period and duty cycle. Through self-differential, the response of the comagnetometer is improved by 2.95 dB and the low-frequency common-mode at 0.1~2 Hz is suppressed by about 6.53 dB. As is shown in Fig.1(b), the sensitivity is improved by 2.7 times to $3.1\times 10^{-6~\circ}/\text{s}/\sqrt{\text{Hz}}$ @1 Hz compared with the traditional continuous measurement mode.
(a) Principle (b) Sensitivity and probe noise of SERF comagnetometer based on continuous measurement mode and self-differential mode.

Authors

Saixin Zhou (1 School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing, 100191, China; 2 Hefei National Laboratory, Hefei, 230088, Anhui, China) Guoqing Tian (Beihang University) Jie Zheng (Beihang University) Fan Wang (Beihang University) Prof. Kai Wei (Beihang University)

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