cctbx.xray.target_functors module¶
- class cctbx.xray.target_functors.intensity_correlation(f_obs, weights=None, use_multiplicities_as_weights=False)¶
Bases:
object
- f_obs()¶
- use_multiplicities_as_weights()¶
- weights()¶
- class cctbx.xray.target_functors.least_squares(compute_scale_using_all_data, f_obs, weights, r_free_flags, scale_factor)¶
Bases:
object
- cctbx.xray.target_functors.least_squares_residual¶
alias of
least_squares_residual_for_amplitude
- class cctbx.xray.target_functors.least_squares_residual_for_amplitude(f_obs, use_sigmas_as_weights=False)¶
Bases:
unified_least_squares_residual
A least-square residual functor for F refinement.
- statistical_weighting = <cctbx.xray.weighting_schemes.pure_statistical_weighting object>¶
- use_sigmas_as_weights()¶
- class cctbx.xray.target_functors.max_like(f_obs, r_free_flags, experimental_phases, alpha_beta, scale_factor, epsilons, spacialization, integration_step_size=5.0)¶
Bases:
object
- cctbx.xray.target_functors.registry()¶
- class cctbx.xray.target_functors.unified_least_squares_residual(obs, is_amplitude=True, weighting=None)¶
Bases:
object
A least-square residual functor for refinement against F or F^2.
- f_obs()¶
For compatibility with the optimiser’s interface (as minimization.lbfgs)
- obs()¶
The obs passed to the constructor
- weighting()¶
The weighting scheme