Macromolecular dictionary (mmCIF) version 2.0.09
_refine.ls_restrained_S_obs
Name:'_refine.ls_restrained_S_obs'
Definition:
The least-squares goodness-of-fit parameter S' for reflection data classified as observed (see _reflns.observed_criterion) after the final cycle of least-squares refinement. This parameter explicitly includes the restraints applied in the least-squares process. See also the definition of _refine.ls_goodness_of_fit_obs. ( sum |w |Y~obs~ - Y~calc~|^2^| )^1/2^ ( + sum~r~|w~r~ |P~calc~ - P~targ~|^2^| ) S' = ( ------------------------------------- ) ( N~ref~ + N~restr~ - N~param~ ) Y~obs~ = the observed coefficients (see _refine.ls_structure_factor_coef) Y~calc~ = the calculated coefficients (see _refine.ls_structure_factor_coef) w = the least-squares reflection weight [1/(e.s.d. squared)] P~calc~ = the calculated restraint values P~targ~ = the target restraint values w~r~ = the restraint weight N~ref~ = the number of reflections used in the refinement (see _refine.ls_number_reflns_obs) N~restr~ = the number of restraints (see _refine.ls_number_restraints) N~param~ = the number of refined parameters (see _refine.ls_number_parameters) sum is taken over the specified reflections sumr is taken over the restraints
Type: float
Mandatory item: no
Alias:_refine_ls_restrained_S_obs (cif_core.dic version 2.0.1)
The permitted range is [0.0, infinity)
Category: refine