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Neutron adiabaticity and its impact on data analysis, illustrated for polarized GISANS

Stellhorn, Annika LU ; Lee, Wai-tung ; Kentzinger, Emmanuel ; Chen, Wangchun ; Gaudet, Jonathan ; Krycka, Kathryn and Blackburn, Elizabeth LU (2023) In EPJ Web of Conferences 286.
Abstract
The significance of neutron spin adiabaticity in the data analysis of polarized Grazing Incidence Small Angle Neutron Scattering (GISANS) is discussed, with the aim of minimizing the number of simulation parameters of complex magnetic models within the neutron scattering cross-section. We illustrate how an estimate of the neutron polarization direction and adiabaticity can be obtained by magnetic field and neutron ray-tracing simulations and compare the results with measurements of the magnetic field map for the beamline used in the GISANS experiment. We show how small deviations from the neutron polarization direction with respect to the magnetic field vector at the sample position significantly affect the data analysis, and how this can... (More)
The significance of neutron spin adiabaticity in the data analysis of polarized Grazing Incidence Small Angle Neutron Scattering (GISANS) is discussed, with the aim of minimizing the number of simulation parameters of complex magnetic models within the neutron scattering cross-section. We illustrate how an estimate of the neutron polarization direction and adiabaticity can be obtained by magnetic field and neutron ray-tracing simulations and compare the results with measurements of the magnetic field map for the beamline used in the GISANS experiment. We show how small deviations from the neutron polarization direction with respect to the magnetic field vector at the sample position significantly affect the data analysis, and how this can be considered within the magnetic model of the scattering cross section using the Distorted Wave Born Approximation. (Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
EPJ Web of Conferences
volume
286
article number
06002
publisher
EDP Sciences
ISSN
2100-014X
DOI
10.1051/epjconf/202328606002
project
Polarisation for first science and beyond at the ESS
Wide-angle neutron polarisation analysis to study energy and quantum materials
SAGA – Preparing for a GISANS instrument at ESS – A Swedish Initiative
language
English
LU publication?
yes
id
61e53339-036e-4bff-a433-476a40f7097b
alternative location
https://www.epj-conferences.org/10.1051/epjconf/202328606002
date added to LUP
2023-10-18 17:57:57
date last changed
2023-10-23 16:22:17
@article{61e53339-036e-4bff-a433-476a40f7097b,
  abstract     = {{The significance of neutron spin adiabaticity in the data analysis of polarized Grazing Incidence Small Angle Neutron Scattering (GISANS) is discussed, with the aim of minimizing the number of simulation parameters of complex magnetic models within the neutron scattering cross-section. We illustrate how an estimate of the neutron polarization direction and adiabaticity can be obtained by magnetic field and neutron ray-tracing simulations and compare the results with measurements of the magnetic field map for the beamline used in the GISANS experiment. We show how small deviations from the neutron polarization direction with respect to the magnetic field vector at the sample position significantly affect the data analysis, and how this can be considered within the magnetic model of the scattering cross section using the Distorted Wave Born Approximation.}},
  author       = {{Stellhorn, Annika and Lee, Wai-tung and Kentzinger, Emmanuel and Chen, Wangchun and Gaudet, Jonathan and Krycka, Kathryn and Blackburn, Elizabeth}},
  issn         = {{2100-014X}},
  language     = {{eng}},
  month        = {{10}},
  publisher    = {{EDP Sciences}},
  series       = {{EPJ Web of Conferences}},
  title        = {{Neutron adiabaticity and its impact on data analysis, illustrated for polarized GISANS}},
  url          = {{http://dx.doi.org/10.1051/epjconf/202328606002}},
  doi          = {{10.1051/epjconf/202328606002}},
  volume       = {{286}},
  year         = {{2023}},
}