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Title: Time filtering of event based neutron scattering data: A pathway to study the dynamic structural responses of materials

Abstract

Time-resolved diffraction has become a vital tool for probing dynamic responses to an applied stimulus. Such experiments traditionally use hardware solutions to histogram measured data into their respective bin. We will show that a major advantage of event-based data acquisition, which time-stamps measured diffraction data with 100 ns accuracy, is much preferred over hardware histogramming of the data by enabling postprocessing for advanced custom binning using a software solution. This approach is made even more powerful by coupling measured diffraction data with metadata about the applied stimuli and material response. In this work, we present a time-filter approach that leverages the power of event-based diffraction collection to reduce stroboscopic data measured over many hours into equally weighted segments that represent subsets of the response to a single cycle of the applied stimulus. We demonstrate this approach by observing ferroelectric/ferroelastic domain wall motion during electric field cycling of BaTiO 3. Furthermore, the developed approach can readily be expanded to investigate other dynamic phenomena using complex sample environments.

Authors:
ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [1]; ORCiD logo [2]; ORCiD logo [1]; ORCiD logo [3]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Argonne National Lab. (ANL), Argonne, IL (United States)
  3. North Carolina State Univ., Raleigh, NC (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
OSTI Identifier:
1479774
Alternate Identifier(s):
OSTI ID: 1472215
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Review of Scientific Instruments
Additional Journal Information:
Journal Volume: 89; Journal Issue: 9; Journal ID: ISSN 0034-6748
Publisher:
American Institute of Physics (AIP)
Country of Publication:
United States
Language:
English
Subject:
47 OTHER INSTRUMENTATION

Citation Formats

Fancher, Christopher M., Hoffmann, Christina, Sedov, Vladislav N., Parizzi, Andre A., Zhou, Wenduo, Schultz, Arthur J., Wang, Xiao Ping, and Long, Daniel. Time filtering of event based neutron scattering data: A pathway to study the dynamic structural responses of materials. United States: N. p., 2018. Web. doi:10.1063/1.5031798.
Fancher, Christopher M., Hoffmann, Christina, Sedov, Vladislav N., Parizzi, Andre A., Zhou, Wenduo, Schultz, Arthur J., Wang, Xiao Ping, & Long, Daniel. Time filtering of event based neutron scattering data: A pathway to study the dynamic structural responses of materials. United States. doi:10.1063/1.5031798.
Fancher, Christopher M., Hoffmann, Christina, Sedov, Vladislav N., Parizzi, Andre A., Zhou, Wenduo, Schultz, Arthur J., Wang, Xiao Ping, and Long, Daniel. Mon . "Time filtering of event based neutron scattering data: A pathway to study the dynamic structural responses of materials". United States. doi:10.1063/1.5031798. https://www.osti.gov/servlets/purl/1479774.
@article{osti_1479774,
title = {Time filtering of event based neutron scattering data: A pathway to study the dynamic structural responses of materials},
author = {Fancher, Christopher M. and Hoffmann, Christina and Sedov, Vladislav N. and Parizzi, Andre A. and Zhou, Wenduo and Schultz, Arthur J. and Wang, Xiao Ping and Long, Daniel},
abstractNote = {Time-resolved diffraction has become a vital tool for probing dynamic responses to an applied stimulus. Such experiments traditionally use hardware solutions to histogram measured data into their respective bin. We will show that a major advantage of event-based data acquisition, which time-stamps measured diffraction data with 100 ns accuracy, is much preferred over hardware histogramming of the data by enabling postprocessing for advanced custom binning using a software solution. This approach is made even more powerful by coupling measured diffraction data with metadata about the applied stimuli and material response. In this work, we present a time-filter approach that leverages the power of event-based diffraction collection to reduce stroboscopic data measured over many hours into equally weighted segments that represent subsets of the response to a single cycle of the applied stimulus. We demonstrate this approach by observing ferroelectric/ferroelastic domain wall motion during electric field cycling of BaTiO3. Furthermore, the developed approach can readily be expanded to investigate other dynamic phenomena using complex sample environments.},
doi = {10.1063/1.5031798},
journal = {Review of Scientific Instruments},
number = 9,
volume = 89,
place = {United States},
year = {2018},
month = {9}
}

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