コード例 #1
0
    def create_refiner(params, reflections, experiments):
        # Only parameterise the crystal unit cell
        det_params = None
        beam_params = None
        xlo_params = None
        xluc_params = []
        for crystal in experiments.crystals():
            exp_ids = experiments.indices(crystal)
            xluc_params.append(
                CrystalUnitCellParameterisation(crystal, experiment_ids=exp_ids)
            )

        # Two theta prediction equation parameterisation
        pred_param = TwoThetaPredictionParameterisation(
            experiments, det_params, beam_params, xlo_params, xluc_params
        )
        param_reporter = ParameterReporter(
            det_params, beam_params, xlo_params, xluc_params
        )

        # ReflectionManager, currently without outlier rejection
        # Note: If not all reflections are used, then the filtering must be
        # communicated to generate_cif/mmcif() to be included in the CIF file!
        refman = TwoThetaReflectionManager(
            reflections, experiments, outlier_detector=None
        )

        # Reflection predictor
        ref_predictor = TwoThetaExperimentsPredictor(experiments)

        # Two theta target
        target = TwoThetaTarget(experiments, ref_predictor, refman, pred_param)

        # Switch on correlation matrix tracking if a correlation plot is requested
        journal = None
        if params.output.correlation_plot.filename is not None:
            journal = refinery_phil_scope.extract().refinery.journal
            journal.track_parameter_correlation = True

        # Minimisation engine - hardcoded to LevMar for now.
        refinery = Refinery(
            target=target,
            prediction_parameterisation=pred_param,
            log=None,
            tracking=journal,
            max_iterations=20,
        )

        # Refiner
        refiner = Refiner(
            experiments=experiments,
            pred_param=pred_param,
            param_reporter=param_reporter,
            refman=refman,
            target=target,
            refinery=refinery,
        )

        return refiner
コード例 #2
0
    def create_refiner(params, reflections, experiments):

        from dials.algorithms.refinement.parameterisation.crystal_parameters import \
            CrystalUnitCellParameterisation
        from dials.algorithms.refinement.parameterisation.parameter_report import \
            ParameterReporter
        from dials.algorithms.refinement.two_theta_refiner import \
          TwoThetaReflectionManager, TwoThetaTarget, TwoThetaExperimentsPredictor, \
          TwoThetaPredictionParameterisation

        verb = params.refinement.verbosity

        # Only parameterise the crystal unit cell
        det_params = None
        beam_params = None
        xlo_params = None
        xluc_params = []
        for icrystal, crystal in enumerate(experiments.crystals()):
            exp_ids = experiments.indices(crystal)
            xluc_params.append(
                CrystalUnitCellParameterisation(crystal,
                                                experiment_ids=exp_ids))

        # Two theta prediction equation parameterisation
        pred_param = TwoThetaPredictionParameterisation(
            experiments, det_params, beam_params, xlo_params, xluc_params)
        param_reporter = ParameterReporter(det_params, beam_params, xlo_params,
                                           xluc_params)

        # ReflectionManager, currently without outlier rejection
        # Note: If not all reflections are used, then the filtering must be
        # communicated to generate_cif/mmcif() to be included in the CIF file!
        refman = TwoThetaReflectionManager(reflections,
                                           experiments,
                                           outlier_detector=None,
                                           verbosity=verb)

        # Reflection predictor
        ref_predictor = TwoThetaExperimentsPredictor(experiments)

        # Two theta target
        target = TwoThetaTarget(experiments, ref_predictor, refman, pred_param)

        # Switch on correlation matrix tracking if a correlation plot is requested
        journal = None
        if params.output.correlation_plot.filename is not None:
            from dials.algorithms.refinement.engine import refinery_phil_scope
            journal = refinery_phil_scope.extract().refinery.journal
            journal.track_parameter_correlation = True

        # Minimisation engine - hardcoded to LevMar for now.
        from dials.algorithms.refinement.engine \
          import LevenbergMarquardtIterations as Refinery
        refinery = Refinery(target=target,
                            prediction_parameterisation=pred_param,
                            log=None,
                            verbosity=verb,
                            tracking=journal,
                            max_iterations=20)

        # Refiner
        from dials.algorithms.refinement.refiner import Refiner
        refiner = Refiner(reflections=reflections,
                          experiments=experiments,
                          pred_param=pred_param,
                          param_reporter=param_reporter,
                          refman=refman,
                          target=target,
                          refinery=refinery,
                          verbosity=verb)

        return refiner