Author: Savici, A.T.
Paper Title Page
TUPAB413 Rapid Browser-Based Visualization of Large Neutron Scattering Datasets 2494
 
  • D.L. Bruhwiler, K. Bruhwiler, P. Moeller, R. Nagler
    RadiaSoft LLC, Boulder, Colorado, USA
  • C.M. Hoffmann, Z.J. Morgan, A.T. Savici, M.G. Tucker
    ORNL, Oak Ridge, Tennessee, USA
  • A. Kuhn, J. Mensmann, P. Messmer, M. Nienhaus, S. Roemer, D. Tatulea
    NVIDIA, Santa Clara, USA
  
  Funding: This work is supported by the US Department of Energy, Office of Science, Office of Basic Energy Sciences under Award No. DE-SC0021551.
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.
* L. Coates et al., Rev. Sci. Instrum. 89, 092802 (2018).
** https://developer.nvidia.com/nvidia-index
*** https://blog.kitware.com/nvidia-index-plugin-in-paraview-5-5 		 
DOI • reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2021-TUPAB413  
About • paper received ※ 18 May 2021       paper accepted ※ 21 July 2021       issue date ※ 26 August 2021  
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