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