Supported Applications

Careless

Description

merges crystallography data without much physics. It performs scaling, merging, and French-Wilson corrections in a single step by directly inferring structure factor amplitudes from unscaled, unmerged intensities.
Usage
To list all executables provided by Careless, run: $ sbgrid-list careless
Installation
Use the following command to install this title with the CLI client: $ sbgrid-cli install careless Available operating systems: Linux 64, OS X INTEL
Primary Citation*

K. M. Dalton, J. B. Greisman, and D. R. Hekstra. 2022. A unifying Bayesian framework for merging X-ray diffraction data. Nature Communications. 13(1): 7764.
- *Full citation information available through
Webinars

Topic: careless: Modern Machine Learning for Diffraction Data.

Presenter: Kevin Dalton, Ph.D., Hekstra Laboratory, Harvard University.

Host: Jason Key
Recorded on May 9, 2023.

For more information on careless:
- https://sbgrid.org/wiki/examples/careless.md
- https://sbgrid.org/software/titles/careless
- https://github.com/rs-station/careless-examples

Presentation Slides:
https://docs.google.com/presentation/d/1UkXy2LQJWiB-QjWkO6m-3gvA5WQShclrbdUTdTK1YTQ/edit#slide=id.p