Abstract
The polarized neutron imaging technique provides a non-invasive method of characterizing localized magnetic fields inside superconductors. However, complete understanding of the magnetic field distribution has yet to be realized experimentally due to the complexity of the interaction between neutron polarization and magnetic field. In this article, we show that a well-defined and controlled magnetic field through the neutron path contributes to simplify the data analysis and makes future quantitative polarized neutron imaging possible. This is demonstrated in a set of experiments that visualize the magnetic field distribution inside and around the superconductors. The experimental results demonstrate that proper guide field setup allows the visualization of the magnetic field expulsion at the surface of the superconductor in the zero-field cooling condition, as well as the magnetic field trapped inside the superconductor under field cooling condition.
Original language | English |
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Article number | 033705 |
Journal | Review of Scientific Instruments |
Volume | 90 |
Issue number | 3 |
DOIs | |
State | Published - Mar 1 2019 |
Funding
We would like to thank Dr. Fankang Li at ORNL for help in creating the model in Magnet©. This work was supported by the U.S. Department of Energy (DOE), Office of Science (OS), Basic Energy Sciences (BES), Materials Sciences and Engineering Division (sample design, fabrication, and physical property characterization), and by the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory (ORNL), managed by UT-Battelle, LLC, for the U. S. DOE (PNR). The research at ORNL’s High Flux Isotope Reactor was sponsored by the Scientific User Facilities Division, BES, U.S. DOE. Part of Tong’s work was supported by the National Nature Science Foundation of China (No. 11875265) and by the Chinese Academy of Sciences.
Funders | Funder number |
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Scientific User Facilities Division | |
U. S. DOE | |
U.S. Department of Energy | |
Office of Science | |
Basic Energy Sciences | |
Oak Ridge National Laboratory | |
Division of Materials Sciences and Engineering | |
UT-Battelle | |
National Natural Science Foundation of China | 11875265 |
Chinese Academy of Sciences |