Most x-ray sources are inherently polychromatic. Polychromatic (“pink”) x-rays provide an efficient way to conduct diffraction experiments as many more photons can be used and large regions of reciprocal space can be probed without sample rotation during exposure—ideal conditions for time-resolved applications. Analysis of such data is complicated, however, causing most x-ray facilities to discard >99% of x-ray photons to obtain monochromatic data. Key challenges in analyzing polychromatic diffraction data include lattice searching, indexing and wavelength assignment, correction of measured intensities for wavelength-dependent effects, and deconvolution of harmonics. We recently described an algorithm, Careless, that can perform harmonic deconvolution and correct measured intensities for variation in wavelength when presented with integrated diffraction intensities and assigned wavelengths. Here, we present Laue-DIALS, an open-source software pipeline that indexes and integrates polychromatic diffraction data. Laue-DIALS is based on the dxtbx toolbox, which supports the DIALS software commonly used to process monochromatic data. As such, Laue-DIALS provides many of the same advantages: an open-source, modular, and extensible architecture, providing a robust basis for future development. We present benchmark results showing that Laue-DIALS, together with Careless, provides a suitable approach to the analysis of polychromatic diffraction data, including for time-resolved applications.
Hewitt, Rick A., Dalton, Kevin M., Mendez, Derek A., Wang, Harrison K., Klureza, Margaret A., Brookner, Dennis E., Greisman, Jack B., McDonagh, David, Šrajer, Vukica, Sauter, Nicholas K., Brewster, Aaron S., & Hekstra, Doeke R. (2024). Laue-DIALS: Open-source software for polychromatic x-ray diffraction data. Structural Dynamics, 11(5). https://doi.org/10.1063/4.0000265
Hewitt, Rick A., Dalton, Kevin M., Mendez, Derek A., et al., "Laue-DIALS: Open-source software for polychromatic x-ray diffraction data," Structural Dynamics 11, no. 5 (2024), https://doi.org/10.1063/4.0000265
@article{osti_2565484,
author = {Hewitt, Rick A. and Dalton, Kevin M. and Mendez, Derek A. and Wang, Harrison K. and Klureza, Margaret A. and Brookner, Dennis E. and Greisman, Jack B. and McDonagh, David and Šrajer, Vukica and Sauter, Nicholas K. and others},
title = {Laue-DIALS: Open-source software for polychromatic x-ray diffraction data},
annote = {Most x-ray sources are inherently polychromatic. Polychromatic (“pink”) x-rays provide an efficient way to conduct diffraction experiments as many more photons can be used and large regions of reciprocal space can be probed without sample rotation during exposure—ideal conditions for time-resolved applications. Analysis of such data is complicated, however, causing most x-ray facilities to discard >99% of x-ray photons to obtain monochromatic data. Key challenges in analyzing polychromatic diffraction data include lattice searching, indexing and wavelength assignment, correction of measured intensities for wavelength-dependent effects, and deconvolution of harmonics. We recently described an algorithm, Careless, that can perform harmonic deconvolution and correct measured intensities for variation in wavelength when presented with integrated diffraction intensities and assigned wavelengths. Here, we present Laue-DIALS, an open-source software pipeline that indexes and integrates polychromatic diffraction data. Laue-DIALS is based on the dxtbx toolbox, which supports the DIALS software commonly used to process monochromatic data. As such, Laue-DIALS provides many of the same advantages: an open-source, modular, and extensible architecture, providing a robust basis for future development. We present benchmark results showing that Laue-DIALS, together with Careless, provides a suitable approach to the analysis of polychromatic diffraction data, including for time-resolved applications.},
doi = {10.1063/4.0000265},
url = {https://www.osti.gov/biblio/2565484},
journal = {Structural Dynamics},
issn = {ISSN 2329-7778},
number = {5},
volume = {11},
place = {United States},
publisher = {American Institute of Physics},
year = {2024},
month = {10}}