def PyInit(self):
        # Workspace which is to be masked
        self.declareProperty(MatrixWorkspaceProperty("InputWorkspace", '',
                                                     optional=PropertyMode.Mandatory, direction=Direction.Input),
                             doc='The workspace which is to be converted to wavelength')

        self.declareProperty('WavelengthLow', defaultValue=Property.EMPTY_DBL, direction=Direction.Input,
                             doc='The low value of the wavelength binning.')
        self.declareProperty('WavelengthHigh', defaultValue=Property.EMPTY_DBL, direction=Direction.Input,
                             doc='The high value of the wavelength binning.')
        self.declareProperty('WavelengthStep', defaultValue=Property.EMPTY_DBL, direction=Direction.Input,
                             doc='The step size of the wavelength binning.')

        # Step type
        allowed_step_types = StringListValidator([RangeStepType.to_string(RangeStepType.Log),
                                                  RangeStepType.to_string(RangeStepType.Lin)])
        self.declareProperty('WavelengthStepType', RangeStepType.to_string(RangeStepType.Lin),
                             validator=allowed_step_types, direction=Direction.Input,
                             doc='The step type for rebinning.')

        # Rebin type
        allowed_rebin_methods = StringListValidator([RebinType.to_string(RebinType.Rebin),
                                                     RebinType.to_string(RebinType.InterpolatingRebin)])
        self.declareProperty("RebinMode", RebinType.to_string(RebinType.Rebin),
                             validator=allowed_rebin_methods, direction=Direction.Input,
                             doc="The method which is to be applied to the rebinning.")

        self.declareProperty(MatrixWorkspaceProperty('OutputWorkspace', '',
                                                     optional=PropertyMode.Mandatory, direction=Direction.Output),
                             doc='The output workspace.')
    def PyInit(self):
        # Workspace which is to be masked
        self.declareProperty(
            MatrixWorkspaceProperty("InputWorkspace",
                                    '',
                                    optional=PropertyMode.Mandatory,
                                    direction=Direction.Input),
            doc='The workspace which is to be converted to wavelength')

        self.declareProperty('WavelengthLow',
                             defaultValue=Property.EMPTY_DBL,
                             direction=Direction.Input,
                             doc='The low value of the wavelength binning.')
        self.declareProperty('WavelengthHigh',
                             defaultValue=Property.EMPTY_DBL,
                             direction=Direction.Input,
                             doc='The high value of the wavelength binning.')
        self.declareProperty('WavelengthStep',
                             defaultValue=Property.EMPTY_DBL,
                             direction=Direction.Input,
                             doc='The step size of the wavelength binning.')

        # Step type
        allowed_step_types = StringListValidator([
            RangeStepType.to_string(RangeStepType.Log),
            RangeStepType.to_string(RangeStepType.Lin)
        ])
        self.declareProperty('WavelengthStepType',
                             RangeStepType.to_string(RangeStepType.Lin),
                             validator=allowed_step_types,
                             direction=Direction.Input,
                             doc='The step type for rebinning.')

        # Rebin type
        allowed_rebin_methods = StringListValidator([
            RebinType.to_string(RebinType.Rebin),
            RebinType.to_string(RebinType.InterpolatingRebin)
        ])
        self.declareProperty(
            "RebinMode",
            RebinType.to_string(RebinType.Rebin),
            validator=allowed_rebin_methods,
            direction=Direction.Input,
            doc="The method which is to be applied to the rebinning.")

        self.declareProperty(MatrixWorkspaceProperty(
            'OutputWorkspace',
            '',
            optional=PropertyMode.Mandatory,
            direction=Direction.Output),
                             doc='The output workspace.')
    def _convert_to_wavelength(self, workspace, normalize_to_monitor_state):
        """
        Converts the workspace from time-of-flight units to wavelength units

        :param workspace: a time-of-flight workspace.
        :param normalize_to_monitor_state: a SANSStateNormalizeToMonitor object.
        :return: a wavelength workspace.
        """
        wavelength_low = normalize_to_monitor_state.wavelength_low
        wavelength_high = normalize_to_monitor_state.wavelength_high
        wavelength_step = normalize_to_monitor_state.wavelength_step
        wavelength_step_type = normalize_to_monitor_state.wavelength_step_type
        wavelength_rebin_mode = normalize_to_monitor_state.rebin_type
        convert_name = "SANSConvertToWavelengthAndRebin"
        convert_options = {
            "InputWorkspace": workspace,
            "WavelengthLow": wavelength_low,
            "WavelengthHigh": wavelength_high,
            "WavelengthStep": wavelength_step,
            "WavelengthStepType":
            RangeStepType.to_string(wavelength_step_type),
            "RebinMode": RebinType.to_string(wavelength_rebin_mode)
        }

        convert_alg = create_unmanaged_algorithm(convert_name,
                                                 **convert_options)
        convert_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
        convert_alg.setProperty("OutputWorkspace", workspace)
        convert_alg.execute()
        return convert_alg.getProperty("OutputWorkspace").value
    def PyExec(self):
        workspace = get_input_workspace_as_copy_if_not_same_as_output_workspace(
            self)

        progress = Progress(self, start=0.0, end=1.0, nreports=3)

        # Convert the units into wavelength
        progress.report("Converting workspace to wavelength units.")
        workspace = self._convert_units_to_wavelength(workspace)

        # Get the rebin option
        rebin_type = RebinType.from_string(self.getProperty("RebinMode").value)
        rebin_string = self._get_rebin_string(workspace)
        if rebin_type is RebinType.Rebin:
            rebin_options = {
                "InputWorkspace": workspace,
                "PreserveEvents": True,
                "Params": rebin_string
            }
        else:
            rebin_options = {
                "InputWorkspace": workspace,
                "Params": rebin_string
            }

        # Perform the rebin
        progress.report("Performing rebin.")
        workspace = self._perform_rebin(rebin_type, rebin_options, workspace)

        append_to_sans_file_tag(workspace, "_toWavelength")
        self.setProperty("OutputWorkspace", workspace)
        progress.report("Finished converting to wavelength.")
    def validateInputs(self):
        errors = dict()
        # Check the wavelength
        wavelength_low = self.getProperty("WavelengthLow").value
        wavelength_high = self.getProperty("WavelengthHigh").value
        if wavelength_low is not None and wavelength_high is not None and wavelength_low > wavelength_high:
            errors.update({"WavelengthLow": "The lower wavelength setting needs to be smaller "
                                            "than the higher wavelength setting."})

        if wavelength_low is not None and wavelength_low < 0:
            errors.update({"WavelengthLow": "The wavelength cannot be smaller than 0."})

        if wavelength_high is not None and wavelength_high < 0:
            errors.update({"WavelengthHigh": "The wavelength cannot be smaller than 0."})

        wavelength_step = self.getProperty("WavelengthStep").value
        if wavelength_step is not None and wavelength_step < 0:
            errors.update({"WavelengthStep": "The wavelength step cannot be smaller than 0."})

        # Check the workspace
        workspace = self.getProperty("InputWorkspace").value
        rebin_type = RebinType.from_string(self.getProperty("RebinMode").value)
        if rebin_type is RebinType.InterpolatingRebin and isinstance(workspace, EventWorkspace):
            errors.update({"RebinMode": "An interpolating rebin cannot be applied to an EventWorkspace."})
        return errors
    def PyExec(self):
        workspace = get_input_workspace_as_copy_if_not_same_as_output_workspace(self)

        progress = Progress(self, start=0.0, end=1.0, nreports=3)

        # Convert the units into wavelength
        progress.report("Converting workspace to wavelength units.")
        workspace = self._convert_units_to_wavelength(workspace)

        # Get the rebin option
        rebin_type = RebinType.from_string(self.getProperty("RebinMode").value)
        rebin_string = self._get_rebin_string(workspace)
        if rebin_type is RebinType.Rebin:
            rebin_options = {"InputWorkspace": workspace,
                             "PreserveEvents": True,
                             "Params": rebin_string}
        else:
            rebin_options = {"InputWorkspace": workspace,
                             "Params": rebin_string}

        # Perform the rebin
        progress.report("Performing rebin.")
        workspace = self._perform_rebin(rebin_type, rebin_options, workspace)

        append_to_sans_file_tag(workspace, "_toWavelength")
        self.setProperty("OutputWorkspace", workspace)
        progress.report("Finished converting to wavelength.")
    def PyExec(self):
        # State
        state_property_manager = self.getProperty("SANSState").value
        state = create_deserialized_sans_state_from_property_manager(
            state_property_manager)
        wavelength_state = state.wavelength

        # Input workspace
        workspace = get_input_workspace_as_copy_if_not_same_as_output_workspace(
            self)

        wavelength_name = "SANSConvertToWavelengthAndRebin"
        wavelength_options = {
            "InputWorkspace":
            workspace,
            "WavelengthLow":
            wavelength_state.wavelength_low,
            "WavelengthHigh":
            wavelength_state.wavelength_high,
            "WavelengthStep":
            wavelength_state.wavelength_step,
            "WavelengthStepType":
            RangeStepType.to_string(wavelength_state.wavelength_step_type),
            "RebinMode":
            RebinType.to_string(wavelength_state.rebin_type)
        }
        wavelength_alg = create_unmanaged_algorithm(wavelength_name,
                                                    **wavelength_options)
        wavelength_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
        wavelength_alg.setProperty("OutputWorkspace", workspace)
        wavelength_alg.execute()
        converted_workspace = wavelength_alg.getProperty(
            "OutputWorkspace").value
        append_to_sans_file_tag(converted_workspace, "_wavelength")
        self.setProperty("OutputWorkspace", converted_workspace)
Пример #8
0
    def _convert_to_wavelength(self, workspace, normalize_to_monitor_state):
        """
        Converts the workspace from time-of-flight units to wavelength units

        :param workspace: a time-of-flight workspace.
        :param normalize_to_monitor_state: a SANSStateNormalizeToMonitor object.
        :return: a wavelength workspace.
        """
        wavelength_low = normalize_to_monitor_state.wavelength_low
        wavelength_high = normalize_to_monitor_state.wavelength_high
        wavelength_step = normalize_to_monitor_state.wavelength_step
        wavelength_step_type = normalize_to_monitor_state.wavelength_step_type
        wavelength_rebin_mode = normalize_to_monitor_state.rebin_type
        convert_name = "SANSConvertToWavelengthAndRebin"
        convert_options = {"InputWorkspace": workspace,
                           "WavelengthLow": wavelength_low,
                           "WavelengthHigh": wavelength_high,
                           "WavelengthStep": wavelength_step,
                           "WavelengthStepType": RangeStepType.to_string(wavelength_step_type),
                           "RebinMode": RebinType.to_string(wavelength_rebin_mode)}

        convert_alg = create_unmanaged_algorithm(convert_name, **convert_options)
        convert_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
        convert_alg.setProperty("OutputWorkspace", workspace)
        convert_alg.execute()
        return convert_alg.getProperty("OutputWorkspace").value
 def _perform_rebin(self, rebin_options):
     rebin_type = RebinType(self.getProperty("RebinMode").value)
     rebin_name = "Rebin" if rebin_type is RebinType.REBIN else "InterpolatingRebin"
     rebin_alg = create_unmanaged_algorithm(rebin_name, **rebin_options)
     rebin_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
     rebin_alg.execute()
     return rebin_alg.getProperty("OutputWorkspace").value
    def validateInputs(self):
        errors = dict()
        # Check the wavelength
        wavelength_json = self.getProperty(self.WAV_PAIRS).value
        try:
            wavelengths: List[Tuple[float,
                                    float]] = json.loads(wavelength_json)
        except JSONDecodeError as e:
            errors.update(
                {self.WAV_PAIRS: f"Failed to decode JSON. Exception was: {e}"})
            return errors

        if not all(
                isinstance(internal_item, list)
                for internal_item in wavelengths):
            errors.update({
                self.WAV_PAIRS:
                "A list of pairs (i.e. list of lists) is required."
                " A single pair must be container within an outer list too."
            })
            return errors  # The below checks aren't really possible as we don't have a clue what we have now

        def _check_individual_pair(wavelength_low, wavelength_high):
            if wavelength_low is not None and wavelength_high is not None and wavelength_low > wavelength_high:
                errors.update({
                    self.WAV_PAIRS:
                    "The lower wavelength setting needs to be smaller "
                    "than the higher wavelength setting."
                })
            if wavelength_low is not None and wavelength_low < 0:
                errors.update({
                    self.WAV_PAIRS:
                    "The wavelength cannot be smaller than 0."
                })
            if wavelength_high is not None and wavelength_high < 0:
                errors.update({
                    self.WAV_PAIRS:
                    "The wavelength cannot be smaller than 0."
                })

        for pair in wavelengths:
            _check_individual_pair(*pair)

        wavelength_step = self.getProperty("WavelengthStep").value
        if wavelength_step is not None and wavelength_step < 0:
            errors.update({
                "WavelengthStep":
                "The wavelength step cannot be smaller than 0."
            })

        # Check the workspace
        workspace = self.getProperty("InputWorkspace").value
        rebin_type = RebinType(self.getProperty("RebinMode").value)
        if rebin_type is RebinType.INTERPOLATING_REBIN and isinstance(
                workspace, EventWorkspace):
            errors.update({
                "RebinMode":
                "An interpolating rebin cannot be applied to an EventWorkspace."
            })
        return errors
Пример #11
0
    def validateInputs(self):
        errors = dict()
        # Check the wavelength
        wavelength_low = self.getProperty("WavelengthLow").value
        wavelength_high = self.getProperty("WavelengthHigh").value
        if wavelength_low is not None and wavelength_high is not None and wavelength_low > wavelength_high:
            errors.update({"WavelengthLow": "The lower wavelength setting needs to be smaller "
                                            "than the higher wavelength setting."})

        if wavelength_low is not None and wavelength_low < 0:
            errors.update({"WavelengthLow": "The wavelength cannot be smaller than 0."})

        if wavelength_high is not None and wavelength_high < 0:
            errors.update({"WavelengthHigh": "The wavelength cannot be smaller than 0."})

        wavelength_step = self.getProperty("WavelengthStep").value
        if wavelength_step is not None and wavelength_step < 0:
            errors.update({"WavelengthStep": "The wavelength step cannot be smaller than 0."})

        # Check the workspace
        workspace = self.getProperty("InputWorkspace").value
        rebin_type = RebinType(self.getProperty("RebinMode").value)
        if rebin_type is RebinType.INTERPOLATING_REBIN and isinstance(workspace, EventWorkspace):
            errors.update({"RebinMode": "An interpolating rebin cannot be applied to an EventWorkspace."})
        return errors
 def _get_rebin_params(self, rebin_string, workspace):
     rebin_type = RebinType(self.getProperty("RebinMode").value)
     if rebin_type is RebinType.REBIN:
         rebin_options = {
             "InputWorkspace": workspace,
             "PreserveEvents": True,
             "Params": rebin_string
         }
     else:
         rebin_options = {
             "InputWorkspace": workspace,
             "Params": rebin_string
         }
     return rebin_options
    def PyExec(self):
        # State
        state_property_manager = self.getProperty("SANSState").value
        state = create_deserialized_sans_state_from_property_manager(state_property_manager)
        wavelength_state = state.wavelength

        # Input workspace
        workspace = get_input_workspace_as_copy_if_not_same_as_output_workspace(self)

        wavelength_name = "SANSConvertToWavelengthAndRebin"
        wavelength_options = {"InputWorkspace": workspace,
                              "WavelengthLow": wavelength_state.wavelength_low[0],
                              "WavelengthHigh": wavelength_state.wavelength_high[0],
                              "WavelengthStep": wavelength_state.wavelength_step,
                              "WavelengthStepType": RangeStepType.to_string(
                                  wavelength_state.wavelength_step_type),
                              "RebinMode": RebinType.to_string(wavelength_state.rebin_type)}
        wavelength_alg = create_unmanaged_algorithm(wavelength_name, **wavelength_options)
        wavelength_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
        wavelength_alg.setProperty("OutputWorkspace", workspace)
        wavelength_alg.execute()
        converted_workspace = wavelength_alg.getProperty("OutputWorkspace").value
        append_to_sans_file_tag(converted_workspace, "_wavelength")
        self.setProperty("OutputWorkspace", converted_workspace)
    def _get_corrected_wavelength_workspace(self, workspace, detector_ids, calculate_transmission_state):
        """
        Performs a prompt peak correction, a background correction, converts to wavelength and rebins.

        :param workspace: the workspace which is being corrected.
        :param detector_ids: a list of relevant detector ids
        :param calculate_transmission_state: a SANSStateCalculateTransmission state
        :return:  a corrected workspace.
        """
        # Extract the relevant spectra. These include
        # 1. The incident monitor spectrum
        # 2. The transmission spectra, be it monitor or ROI based.
        # A previous implementation of this code had a comment which suggested
        # that we have to exclude unused spectra as the interpolation runs into
        # problems if we don't.
        extract_name = "ExtractSpectra"
        extract_options = {"InputWorkspace": workspace,
                           "OutputWorkspace": EMPTY_NAME,
                           "DetectorList": detector_ids}
        extract_alg = create_unmanaged_algorithm(extract_name, **extract_options)
        extract_alg.execute()
        workspace = extract_alg.getProperty("OutputWorkspace").value

        # Make sure that we still have spectra in the workspace
        if workspace.getNumberHistograms() == 0:
            raise RuntimeError("SANSCalculateTransmissionCorrection: The transmission workspace does "
                               "not seem to have any spectra.")

        # ----------------------------------
        # Perform the prompt peak correction
        # ----------------------------------
        prompt_peak_correction_min = calculate_transmission_state.prompt_peak_correction_min
        prompt_peak_correction_max = calculate_transmission_state.prompt_peak_correction_max
        prompt_peak_correction_enabled = calculate_transmission_state.prompt_peak_correction_enabled
        workspace = self._perform_prompt_peak_correction(workspace, prompt_peak_correction_min,
                                                         prompt_peak_correction_max, prompt_peak_correction_enabled)

        # ---------------------------------------
        # Perform the flat background correction
        # ---------------------------------------
        # The flat background correction has two parts:
        # 1. Corrections on monitors
        # 2. Corrections on regular detectors

        # Monitor flat background correction
        workspace_indices_of_monitors = list(get_workspace_indices_for_monitors(workspace))
        background_tof_monitor_start = calculate_transmission_state.background_TOF_monitor_start
        background_tof_monitor_stop = calculate_transmission_state.background_TOF_monitor_stop
        background_tof_general_start = calculate_transmission_state.background_TOF_general_start
        background_tof_general_stop = calculate_transmission_state.background_TOF_general_stop
        workspace = apply_flat_background_correction_to_monitors(workspace,
                                                                 workspace_indices_of_monitors,
                                                                 background_tof_monitor_start,
                                                                 background_tof_monitor_stop,
                                                                 background_tof_general_start,
                                                                 background_tof_general_stop)

        # Detector flat background correction
        flat_background_correction_start = calculate_transmission_state.background_TOF_roi_start
        flat_background_correction_stop = calculate_transmission_state.background_TOF_roi_stop
        workspace = apply_flat_background_correction_to_detectors(workspace, flat_background_correction_start,
                                                                  flat_background_correction_stop)

        # ---------------------------------------
        # Convert to wavelength and rebin
        # ---------------------------------------
        # The wavelength setting is reasonably complex.
        # 1. Use full wavelength range
        # 2. Use standard settings
        if calculate_transmission_state.use_full_wavelength_range:
            wavelength_low = calculate_transmission_state.wavelength_full_range_low
            wavelength_high = calculate_transmission_state.wavelength_full_range_high
        else:
            wavelength_low = calculate_transmission_state.wavelength_low[0]
            wavelength_high = calculate_transmission_state.wavelength_high[0]

        wavelength_step = calculate_transmission_state.wavelength_step
        rebin_type = calculate_transmission_state.rebin_type
        wavelength_step_type = calculate_transmission_state.wavelength_step_type

        convert_name = "SANSConvertToWavelengthAndRebin"
        convert_options = {"InputWorkspace": workspace,
                           "WavelengthLow": wavelength_low,
                           "WavelengthHigh": wavelength_high,
                           "WavelengthStep": wavelength_step,
                           "WavelengthStepType": RangeStepType.to_string(wavelength_step_type),
                           "RebinMode": RebinType.to_string(rebin_type)}
        convert_alg = create_unmanaged_algorithm(convert_name, **convert_options)
        convert_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
        convert_alg.setProperty("OutputWorkspace", workspace)
        convert_alg.execute()
        return convert_alg.getProperty("OutputWorkspace").value
    def _get_corrected_wavelength_workspace(self, workspace, detector_ids, calculate_transmission_state):
        """
        Performs a prompt peak correction, a background correction, converts to wavelength and rebins.

        :param workspace: the workspace which is being corrected.
        :param detector_ids: a list of relevant detector ids
        :param calculate_transmission_state: a SANSStateCalculateTransmission state
        :return:  a corrected workspace.
        """
        # Extract the relevant spectra. These include
        # 1. The incident monitor spectrum
        # 2. The transmission spectra, be it monitor or ROI based.
        # A previous implementation of this code had a comment which suggested
        # that we have to exclude unused spectra as the interpolation runs into
        # problems if we don't.
        extract_name = "ExtractSpectra"
        extract_options = {"InputWorkspace": workspace,
                           "OutputWorkspace": EMPTY_NAME,
                           "DetectorList": detector_ids}
        extract_alg = create_unmanaged_algorithm(extract_name, **extract_options)
        extract_alg.execute()
        workspace = extract_alg.getProperty("OutputWorkspace").value

        # Make sure that we still have spectra in the workspace
        if workspace.getNumberHistograms() == 0:
            raise RuntimeError("SANSCalculateTransmissionCorrection: The transmission workspace does "
                               "not seem to have any spectra.")

        # ----------------------------------
        # Perform the prompt peak correction
        # ----------------------------------
        prompt_peak_correction_min = calculate_transmission_state.prompt_peak_correction_min
        prompt_peak_correction_max = calculate_transmission_state.prompt_peak_correction_max
        prompt_peak_correction_enabled = calculate_transmission_state.prompt_peak_correction_enabled
        workspace = self._perform_prompt_peak_correction(workspace, prompt_peak_correction_min,
                                                         prompt_peak_correction_max, prompt_peak_correction_enabled)

        # ---------------------------------------
        # Perform the flat background correction
        # ---------------------------------------
        # The flat background correction has two parts:
        # 1. Corrections on monitors
        # 2. Corrections on regular detectors

        # Monitor flat background correction
        workspace_indices_of_monitors = list(get_workspace_indices_for_monitors(workspace))
        background_tof_monitor_start = calculate_transmission_state.background_TOF_monitor_start
        background_tof_monitor_stop = calculate_transmission_state.background_TOF_monitor_stop
        background_tof_general_start = calculate_transmission_state.background_TOF_general_start
        background_tof_general_stop = calculate_transmission_state.background_TOF_general_stop
        workspace = apply_flat_background_correction_to_monitors(workspace,
                                                                 workspace_indices_of_monitors,
                                                                 background_tof_monitor_start,
                                                                 background_tof_monitor_stop,
                                                                 background_tof_general_start,
                                                                 background_tof_general_stop)

        # Detector flat background correction
        flat_background_correction_start = calculate_transmission_state.background_TOF_roi_start
        flat_background_correction_stop = calculate_transmission_state.background_TOF_roi_stop
        workspace = apply_flat_background_correction_to_detectors(workspace, flat_background_correction_start,
                                                                  flat_background_correction_stop)

        # ---------------------------------------
        # Convert to wavelength and rebin
        # ---------------------------------------
        # The wavelength setting is reasonably complex.
        # 1. Use full wavelength range
        # 2. Use standard settings
        if calculate_transmission_state.use_full_wavelength_range:
            wavelength_low = calculate_transmission_state.wavelength_full_range_low
            wavelength_high = calculate_transmission_state.wavelength_full_range_high
        else:
            data_type_string = self.getProperty("DataType").value
            fit_state = calculate_transmission_state.fit[data_type_string]
            wavelength_low = fit_state.wavelength_low if fit_state.wavelength_low\
                else calculate_transmission_state.wavelength_low[0]
            wavelength_high = fit_state.wavelength_high if fit_state.wavelength_high\
                else calculate_transmission_state.wavelength_high[0]

        wavelength_step = calculate_transmission_state.wavelength_step
        rebin_type = calculate_transmission_state.rebin_type
        wavelength_step_type = calculate_transmission_state.wavelength_step_type

        convert_name = "SANSConvertToWavelengthAndRebin"
        convert_options = {"InputWorkspace": workspace,
                           "WavelengthLow": wavelength_low,
                           "WavelengthHigh": wavelength_high,
                           "WavelengthStep": wavelength_step,
                           "WavelengthStepType": RangeStepType.to_string(wavelength_step_type),
                           "RebinMode": RebinType.to_string(rebin_type)}
        convert_alg = create_unmanaged_algorithm(convert_name, **convert_options)
        convert_alg.setPropertyValue("OutputWorkspace", EMPTY_NAME)
        convert_alg.setProperty("OutputWorkspace", workspace)
        convert_alg.execute()
        return convert_alg.getProperty("OutputWorkspace").value