title: Solution of the crystallographic phase problem by iterated projections.
abstract: An algorithm for determining crystal structures from diffraction data is described which does not rely on the usual reciprocal-space formulations of atomicity. The new algorithm implements atomicity constraints in real space, as well as intensity constraints in reciprocal space, by projections that restore each constraint with the minimal modification of the scattering density. To recover the true density, the two projections are combined into a single operation, the difference map, which is iterated until the magnitude of the density modification becomes acceptably small. The resulting density, when acted upon by a single additional operation, is by construction a density that satisfies both intensity and atomicity constraints. Numerical experiments have yielded solutions for atomic resolution X-ray data sets with over 400 non-hydrogen atoms, as well as for neutron data, where positivity of the density cannot be invoked.
authors.affiliation: Department of Physics, Cornell University, Ithaca, NY 14853-2501, USA. ve10@cornell.edu
authors.forename: Veit
authors.initials: V
authors.lastname: Elser
mesh_terms: D000465:Algorithms; D000814:Aniline Compounds / Q000737:chemistry; D001952:Bridged-Ring Compounds / Q000737:chemistry; D018360:Crystallography, X-Ray / Q000379:methods*; D009578:Nitrobenzenes / Q000737:chemistry; D010455:Peptides / Q000737:chemistry; D010720:Phosphines / Q000737:chemistry; D017433:Protein Structure, Secondary; D011758:Pyrroles / Q000737:chemistry; D014961:X-Ray Diffraction
chemical_list: D000814:Aniline Compounds; D001952:Bridged-Ring Compounds; D009578:Nitrobenzenes; D010455:Peptides; D010720:Phosphines; D011758:Pyrroles; C048209:punctaporonin D; C015384:nitramine