Magnetic pair distribution function data using polarized neutrons and ad hoc corrections
Abstract
We report the first example of magnetic pair distribution function (mPDF) data obtained through the use of neutron polarization analysis. Using the antiferromagnetic semiconductor MnTe as a test case, we present high-quality mPDF data collected on the HYSPEC instrument at the Spallation Neutron Source using longitudinal polarization analysis to isolate the magnetic scattering cross section. Clean mPDF patterns are obtained for MnTe in both the magnetically ordered state and the correlated paramagnet state, where only short-range magnetic order is present. We also demonstrate significant improvement in the quality of high-resolution mPDF data through the application of ad hoc corrections that require only minimal human input, minimizing potential sources of error in the data processing procedure. We briefly discuss the current limitations and future outlook of mPDF analysis using polarized neutrons. Overall, this work provides a useful benchmark for mPDF analysis using polarized neutrons and provides an encouraging picture of the potential for routine collection of high-quality mPDF data.
- Authors:
-
- Brigham Young University, Provo, UT (United States)
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States); Brigham Young Univ., Provo, UT (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Basic Energy Sciences (BES)
- OSTI Identifier:
- 1906562
- Alternate Identifier(s):
- OSTI ID: 1903395; OSTI ID: 1907402
- Grant/Contract Number:
- AC05-00OR22725; SC0021134
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Journal of Applied Physics
- Additional Journal Information:
- Journal Volume: 132; Journal Issue: 22; Journal ID: ISSN 0021-8979
- Publisher:
- American Institute of Physics (AIP)
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS; 75 CONDENSED MATTER PHYSICS, SUPERCONDUCTIVITY AND SUPERFLUIDITY
Citation Formats
Frandsen, Benjamin A., Baral, Raju, Winn, Barry, and Garlea, V. Ovidiu. Magnetic pair distribution function data using polarized neutrons and ad hoc corrections. United States: N. p., 2022.
Web. doi:10.1063/5.0130400.
Frandsen, Benjamin A., Baral, Raju, Winn, Barry, & Garlea, V. Ovidiu. Magnetic pair distribution function data using polarized neutrons and ad hoc corrections. United States. https://doi.org/10.1063/5.0130400
Frandsen, Benjamin A., Baral, Raju, Winn, Barry, and Garlea, V. Ovidiu. Tue .
"Magnetic pair distribution function data using polarized neutrons and ad hoc corrections". United States. https://doi.org/10.1063/5.0130400. https://www.osti.gov/servlets/purl/1906562.
@article{osti_1906562,
title = {Magnetic pair distribution function data using polarized neutrons and ad hoc corrections},
author = {Frandsen, Benjamin A. and Baral, Raju and Winn, Barry and Garlea, V. Ovidiu},
abstractNote = {We report the first example of magnetic pair distribution function (mPDF) data obtained through the use of neutron polarization analysis. Using the antiferromagnetic semiconductor MnTe as a test case, we present high-quality mPDF data collected on the HYSPEC instrument at the Spallation Neutron Source using longitudinal polarization analysis to isolate the magnetic scattering cross section. Clean mPDF patterns are obtained for MnTe in both the magnetically ordered state and the correlated paramagnet state, where only short-range magnetic order is present. We also demonstrate significant improvement in the quality of high-resolution mPDF data through the application of ad hoc corrections that require only minimal human input, minimizing potential sources of error in the data processing procedure. We briefly discuss the current limitations and future outlook of mPDF analysis using polarized neutrons. Overall, this work provides a useful benchmark for mPDF analysis using polarized neutrons and provides an encouraging picture of the potential for routine collection of high-quality mPDF data.},
doi = {10.1063/5.0130400},
journal = {Journal of Applied Physics},
number = 22,
volume = 132,
place = {United States},
year = {Tue Dec 13 00:00:00 EST 2022},
month = {Tue Dec 13 00:00:00 EST 2022}
}
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