Neutron Bragg edge modeling
is now available at https://arcs.pages.ornl.gov/resolution
The plots allow users to make educated decision about choosing the Fermi chopper settings.
A snapshot of a neutron CT reconstruction.
Neutron has greater penetration depths and has different cross section dependency on elements than X-ray. Neutron tomography can be used to study a variety of larger samples and is finding applications in engineering, material science, biology, and archeology. This package is in use by ORNL neutron imaging beamlines for neutron CT reconstructions.
- New metadata added to images acquired at CG-1D beamline to identify grouping of CT scans
- Auto-discovery of the image files improved for a CT scan, including open beam and dark field images based on measurement time
- Auto-cropping algorithm improved to work with more measurement scenarios, especially those with slits
- New trigger from Cataloging service added to start the auto reduction service for CG1D
- Auto-reconstruction script implemented
- First successful auto-reconstruction happened Sept. 13, 2018
- Detector geometry calibration was performed using powder Si and C60 calibration datasets to better determine the positions and orientation of detector packs in the SEQUOIA instrument.
- Positioning of some detector packs were significantly improved
A website for this calibration work is at https://sns-chops.github.io/SEQ-IDF-12292017/
Powder diffraction data were used to calibrate the position of detector packs for the SEQUOIA instrument.