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@inproceedings{bruhwiler:ipac2021-tupab413,
author = {D.L. Bruhwiler and K. Bruhwiler and C.M. Hoffmann and A. Kuhn and J. Mensmann and P. Messmer and P. Moeller and Z.J. Morgan and R. Nagler and M. Nienhaus and S. Roemer and A.T. Savici and D. Tatulea and M.G. Tucker},
% author = {D.L. Bruhwiler and K. Bruhwiler and C.M. Hoffmann and A. Kuhn and J. Mensmann and P. Messmer and others},
% author = {D.L. Bruhwiler and others},
title = {{Rapid Browser-Based Visualization of Large Neutron Scattering Datasets}},
booktitle = {Proc. IPAC'21},
pages = {2494--2497},
eid = {TUPAB413},
language = {english},
keywords = {neutron, scattering, experiment, network, detector},
venue = {Campinas, SP, Brazil},
series = {International Particle Accelerator Conference},
number = {12},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {08},
year = {2021},
issn = {2673-5490},
isbn = {978-3-95450-214-1},
doi = {10.18429/JACoW-IPAC2021-TUPAB413},
url = {https://jacow.org/ipac2021/papers/tupab413.pdf},
note = {https://doi.org/10.18429/JACoW-IPAC2021-TUPAB413},
abstract = {{Neutron scattering makes invaluable contributions to the physical, chemical, and nanostructured materials sciences. Single crystal diffraction experiments collect volumetric scattering data sets representing the internal structure relations by combining datasets of many individual settings at different orientations, times and sample environment conditions. In particular, we consider data from the single-crystal diffraction experiments at ORNL.* A new technical approach for rapid, interactive visualization of remote neutron data is being explored. The NVIDIA IndeX 3D volumetric visualization framework** is being used via the HTML5 client viewer from NVIDIA, the ParaView plugin***, and new Jupyter notebooks, which will be released to the community with an open source license.}},
}