Evaluating crystallographic likelihood functions using numerical quadratures
This paper develops a numerical quadrature method to efficiently evaluate intensity-based likelihood functions in crystallography, improving the use of marginal diffraction data for structure determination.
Acta Crystallographica Section D Structural Biology · Jul 27, 2020Peer-reviewedBiophysics