Journal Article

PUBDB-2025-02109

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Detector alignment for X-ray crystallography using Millepede-II

White, T. (Corresponding author)DESY*

2026
International Union of Crystallography (co-published with Wiley) Chester, UK

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Please use a persistent id in citations: doi:10.1107/S1600576726001287  doi:10.3204/PUBDB-2025-02109

Abstract: I describe a method for accurately refining the geometrical parameters of segmented X-ray area detectors based on serial crystallography data, using “Millepede” — an algorithm created for a very similar problem in high-energy physics. The Millepede method for serial crystallography builds on the approach of Brewster et al. [Acta Cryst. D74 p877-894], in which the detector parameters are refined simultaneously with the parameters for each individual crystal. This accounts for the mutual dependency between the parameters and thereby avoids the bias and slow convergence problems which have afflicted older approaches in which the deviations between observed and calculated Bragg peak positions were taken directly as the updates for the detector panel positions. The Millepede method uses the special structure of the least-squares normal equations to reduce them to a much smaller form which can be solved very quickly, even compared to the sparse matrix methods used previously. This makes it practical to refine the detector geometry frequently and thereby maintain accurate calibration without specialised alignment campaigns. Tilts of detector panels out of the plane can be reliably refined, as can the overall distance of the detector in the beam direction. With a simulated test case, the new method produced panel shifts within 7% of the correct values with only one iteration, and produced almost exactly correct shifts after a second iteration. A simulated out-of-plane panel rotation was correctly determined to within 0.001°. Applied to experimental data from an X-ray free-electron laser, the method increased the indexable fraction of frames from 30% to 91% in a single iteration, and to 96% after two further iterations. Computing the geometry updates based on 2060 crystals took only 0.819 s on desktop computing hardware, including the time taken to read the required data from disk. The scaling was found to be very close to linear up to 100,980 sets of crystal parameters, which took only 78.2 seconds to process under the same conditions. The method has been applied as part of a real-time feedback system at a synchrotron radiation beamline, in which an out-of-plane detector tilt of 0.04° was detected and corrected. Possible further applications are described.

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Contributing Institute(s):

1. Scientific computing (FS-SC)

Research Program(s):

1. 623 - Data Management and Analysis (POF4-623) (POF4-623)
2. FS-Proposal: II-20210002 (II-20210002) (II-20210002)
3. FS-Proposal: R-20241315 EC (R-20241315-EC) (R-20241315-EC)
4. 6G3 - PETRA III (DESY) (POF4-6G3) (POF4-6G3)

Experiment(s):

1. PETRA Beamline P11 (PETRA III)
2. Measurement at external facility

Appears in the scientific report 2026

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