LOCSCL: a program to statistically optimize local scaling of single-isomorphous-replacement and single-wavelength-anomalous-scattering data

A new stand-alone program, LOCSCL, for anisotropic local scaling of single-isomorphous-replacement or single-wavelength-anomalous-scattering pairs of data sets is described. The program features statistical weighting of the least-squares fit of the scale factors, statistical optimization of the size of the local blocks of reciprocal-lattice points used for the fitting, and propagation of the scaling-error estimates for both |F| and |E| data.