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URLhttps://doi.org/10.18429/JACoW-LINAC2024-MOPB097
TitleAutomation of sample alignment for neutron scattering experiments
Authors
  • B. Pritchard, J. Edelen, M. Henderson
    RadiaSoft LLC
AbstractSample alignment in neutron scattering experiments is critical to ensuring high quality data for the users. This process typically involves a skilled operator or beamline scientist. Machine learning has been demonstrated as an effective tool for a wide range of automation tasks. RadiaSoft in particular has been developing ML tools for a range of accelerator applications including beamline automation. In this poster we will present recent developments for selecting and aligning multiple samples at the HB-2A powder diffractometer at HFIR.
Paperdownload: MOPB097.pdf
CiteBibTeX, LaTeX, Text/Word, RIS, EndNote
Conference32nd Linear Accelerator Conference (LINAC2024)
Series
LocationChicago, IL, USA
Date25-30 Aug 2024
PublisherJACoW Publishing, Geneva, Switzerland
Editorial BoardKelly Jaje (ANL), Kip Bishofberger (LANL), Ryan Brody (ANL), Gustavo Bruno (ANL), Jan Chrin (PSI), Cathy Eyberger (ANL), Maggie Montes (SLAC), Denise Skiadopoulos (ANL), Ling Wang (MSU/FRIB), Kent Wootton (ANL)
Online ISBN978-3-95450-219-6
Online ISSN2226-0366
Received20 August 2024
Revised28 August 2024
Accepted28 August 2024
Issued23 October 2024
DOI10.18429/JACoW-LINAC2024-MOPB097
Pages258-260