| Title |
Machine Learning Based Sample Alignment at TOPAZ |
| Authors |
- M.J. Henderson, J.P. Edelenpresenter, M.C. Kilpatrick, I.V. Pogorelov
RadiaSoft LLC, Boulder, Colorado, USA
- S. Calder, B. Vacaliuc
ORNL RAD, Oak Ridge, Tennessee, USA
- R.D. Gregory, G.S. Guyotte, C.M. Hoffmann, B.K. Krishna
ORNL, Oak Ridge, Tennessee, USA
|
| Abstract |
Neutron scattering experiments are a critical tool for the exploration of molecular structure in compounds. The TOPAZ single crystal diffractometer at the Spallation Neutron Source studies these samples by illuminating samples with different energy neutron beams and recording the scattered neutrons. During the experiments the user will change temperature and sample position in order to illuminate different crystal faces and to study the sample in different environments. Maintaining alignment of the sample during this process is key to ensuring high quality data are collected. At present this process is performed manually by beamline scientists. RadiaSoft in collaboration with the beamline scientists and engineers at ORNL has developed a new machine learning based alignment software automating this process. We utilize a fully-connected convolutional neural network configured in a U-net architecture to identify the sample center of mass. We then move the sample using a custom python-based EPICS IOC interfaced with the motors. In this talk we provide an overview of our machine learning tools and show our initial results aligning samples at ORNL.
|
| Funding |
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Science under Award Number DE-SC0021555. |
| Paper |
download TUPDP116.PDF [3.915 MB / 5 pages] |
| Cite |
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※ EndNote |
| Conference |
ICALEPCS2023 |
| Series |
International Conference on Accelerator and Large Experimental Physics Control Systems (19th) |
| Location |
Cape Town, South Africa |
| Date |
09-13 October 2023 |
| Publisher |
JACoW Publishing, Geneva, Switzerland |
| Editorial Board |
Volker RW Schaa (GSI, Darmstadt, Germany); Andy Götz (ESRF, Grenoble, France); Johan Venter (SARAO, Cape Town, South Africa); Karen White (SNS, Oak Ridge, TN, USA); Marie Robichon (ESRF, Grenoble, France); Vivienne Rowland (SARAO, Cape Town, South Africa) |
| Online ISBN |
978-3-95450-238-7 |
| Online ISSN |
2226-0358 |
| Received |
06 October 2023 |
| Accepted |
05 December 2023 |
| Issued/td>
| 11 December 2023 |
| DOI |
doi:10.18429/JACoW-ICALEPCS2023-TUPDP116 |
| Pages |
851-855 |
| Copyright |
 Published by JACoW Publishing under the terms of the Creative Commons Attribution 4.0 International license. Any further distribution of this work must maintain attribution to the author(s), the published article's title, publisher, and DOI. |
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