journal article·2020-04-01Open access

Improved compensation and measurement of the magnetic gradients in an atomic vapor cell

Xiang Zhan, Chang Chen, Zhiguo Wang, Qiyuan Jiang, Yi Zhang, Hui Luo

AIP Advances· Volume 10· Issue 4

Abstract

Magnetic field gradients reduce the transverse relaxation time of nuclear spins, which usually degrades the sensitivity of atomic sensors based on nuclear spins. We demonstrate improved magnetic field gradient compensation by applying first-order and second-order magnetic gradients simultaneously in a cubic vapor cell containing 87Rb vapor and 129Xe gas. Compared with applying only first-order magnetic gradient compensation, the transverse relaxation time of 129Xe is up to 4.3 times longer when applying both first-order and second-order compensating magnetic gradients, which indicates that the total magnetic gradient is greatly suppressed by the joint compensation in our experiment. The magnetic gradients induced by the polarized 87Rb spins, the static magnetic field, and the residual magnetic field are also explored. As the main sources of internal magnetic inhomogeneities, these gradients are experimentally validated to have a sizable value. Furthermore, the total internal magnetic gradient in the system could be self-compensated when the directions of these internal gradient components are appropriately set. The experimental results in this paper are important for suppressing the magnetic gradients and optimizing the gradient compensation in nuclear magnetic resonance systems.
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Research context

OpenAlex topics: Atomic and Subatomic Physics Research · Advanced MRI Techniques and Applications · Advanced NMR Techniques and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

College of Advanced Interdisciplinary Studies, National University of Defense Technology 1 , Changsha 410073, China

Interdisciplinary Center of Quantum Information, National University of Defense Technology 2 , Changsha 410073, China

Funding

Research Project of the National University of Defense Technology · Natural Science Foundation of Hunan Province · National Natural Science Foundation of China · Young Scientists Fund

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