コード例 #1
0
def generate_output_file_name(ceria_path, instrument, bank, ext='.prm'):
    """
    Generate an output filename in the form INSTRUMENT_ceriaRunNo_BANKS
    :param vanadium_path: Path to vanadium data file
    :param ceria_path: Path to ceria data file
    :param instrument: The instrument in use.
    :param bank: The bank being saved.
    :param ext: Extension to be used on the saved file
    :return: The filename, the vanadium run number, and ceria run number.
    """
    ceria_no = path_handling.get_run_number_from_path(ceria_path, instrument)
    filename = instrument + "_" + ceria_no + "_"
    if bank == "all":
        filename = filename + "all_banks" + ext
    elif bank == "north":
        filename = filename + "bank_1" + ext
    elif bank == "south":
        filename = filename + "bank_2" + ext
    elif bank == "Cropped":
        filename = filename + "Cropped" + ext
    elif bank == "Custom":
        filename = filename + "Custom" + ext
    else:
        raise ValueError("Invalid bank name entered")
    return filename
コード例 #2
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ファイル: EnggUtils.py プロジェクト: robertapplin/mantid
def _load_run_and_convert_to_dSpacing(filepath, instrument, full_calib):
    runno = path_handling.get_run_number_from_path(filepath, instrument)
    ws = mantid.Load(Filename=filepath, OutputWorkspace=str(runno))
    if ws.getRun().getProtonCharge() > 0:
        ws = mantid.NormaliseByCurrent(InputWorkspace=ws,
                                       OutputWorkspace=ws.name())
    else:
        logger.warning(f"Run {ws.name()} has invalid proton charge.")
        mantid.DeleteWorkspace(ws)
        return None
    mantid.ApplyDiffCal(InstrumentWorkspace=ws,
                        CalibrationWorkspace=full_calib)
    ws = mantid.ConvertUnits(InputWorkspace=ws,
                             OutputWorkspace=ws.name(),
                             Target='dSpacing')
    return ws
コード例 #3
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def fetch_correction_workspaces(vanadium_path: str, instrument: str):
    # -> Workspace2D, Workspace2D
    """
    Fetch workspaces from the ADS or create new ones.
    :param vanadium_path: The path to the requested vanadium run raw data.
    :param instrument: The instrument the data came from.
    """
    van_run_no = path_handling.get_run_number_from_path(
        vanadium_path, instrument)
    if not check_workspaces_exist(van_run_no):
        van_integration_ws, van_processed_inst_ws = create_vanadium_corrections(
            vanadium_path, instrument)
    else:
        van_integration_ws = Ads.retrieve(
            str(van_run_no) + '_' + INTEGRATED_WORKSPACE_NAME)
        van_processed_inst_ws = Ads.retrieve(
            str(van_run_no) + '_' + PROCESSED_WORKSPACE_NAME)
    return van_integration_ws, van_processed_inst_ws
コード例 #4
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ファイル: EnggUtils.py プロジェクト: robertapplin/mantid
def process_vanadium(vanadium_path, calibration, full_calib):
    van_run = path_handling.get_run_number_from_path(
        vanadium_path, calibration.get_instrument())
    van_foc_name = CURVES_PREFIX + calibration.get_group_suffix()
    if ADS.doesExist(van_foc_name):
        ws_van_foc = ADS.retrieve(van_foc_name)
    else:
        if ADS.doesExist(van_run):
            ws_van = ADS.retrieve(
                van_run)  # will exist if have only changed the ROI
        else:
            ws_van = _load_run_and_convert_to_dSpacing(
                vanadium_path, calibration.get_instrument(), full_calib)
            if not ws_van:
                raise RuntimeError(
                    f"vanadium run {van_run} has no proton_charge - "
                    f"please supply a valid vanadium run to focus.")
        ws_van_foc = _focus_run_and_apply_roi_calibration(
            ws_van, calibration, ws_foc_name=van_foc_name)
        ws_van_foc = _smooth_vanadium(ws_van_foc)
    return ws_van_foc, van_run
コード例 #5
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def create_vanadium_corrections(vanadium_path: str,
                                instrument: str):  # -> Workspace, Workspace
    """
    Runs the vanadium correction algorithm.
    :param vanadium_path: The path to the vanadium data.
    :return: The integrated workspace and the processed instrument workspace generated.
    """
    try:
        run_no = path_handling.get_run_number_from_path(
            vanadium_path, instrument)
        van_ws = Load(Filename=vanadium_path,
                      OutputWorkspace=str(run_no) + '_' +
                      VANADIUM_INPUT_WORKSPACE_NAME)
    except Exception as e:
        logger.error(
            "Error when loading vanadium sample data. "
            "Could not run Load algorithm with vanadium run number: " +
            str(vanadium_path) + ". Error description: " + str(e))
        raise RuntimeError
    # get full instrument calibration for instrument processing calculation
    if Ads.doesExist("full_inst_calib"):
        full_calib_ws = Ads.retrieve("full_inst_calib")
    else:
        full_calib_path = get_setting(
            output_settings.INTERFACES_SETTINGS_GROUP,
            output_settings.ENGINEERING_PREFIX, "full_calibration")
        try:
            full_calib_ws = Load(full_calib_path,
                                 OutputWorkspace="full_inst_calib")
        except ValueError:
            logger.error(
                "Error loading Full instrument calibration - this is set in the interface settings."
            )
            return
    integral_ws = _calculate_vanadium_integral(van_ws, run_no)
    processed_ws = _calculate_vanadium_processed_instrument(
        van_ws, full_calib_ws, integral_ws, run_no)
    return integral_ws, processed_ws
コード例 #6
0
ファイル: model.py プロジェクト: gemmaguest/mantid
    def create_output_files(self, calibration_dir, difa, difc, tzero,
                            bk2bk_params, ceria_path, instrument, bank,
                            spectrum_numbers, calfile):
        """
        Create output files from the algorithms in the specified directory
        :param calibration_dir: The directory to save the files into.
        :param difa: DIFA values from calibration algorithm.
        :param difc: DIFC values from the calibration algorithm.
        :param tzero: TZERO values from the calibration algorithm.
        :param bk2bk_params: BackToBackExponential parameters from Parameters.xml file.
        :param ceria_path: The path to the ceria data file.
        :param instrument: The instrument (ENGINX or IMAT).
        :param bank: Optional parameter to crop by bank.
        :param spectrum_numbers: Optional parameter to crop using spectrum numbers.
        :param calfile: Optional parameter to crop with a custom calfile
        """
        kwargs = {
            "ceria_run":
            path_handling.get_run_number_from_path(ceria_path, instrument)
        }

        def south_kwargs():
            kwargs["template_file"] = SOUTH_BANK_TEMPLATE_FILE
            kwargs["bank_names"] = ["South"]

        def north_kwargs():
            kwargs["template_file"] = NORTH_BANK_TEMPLATE_FILE
            kwargs["bank_names"] = ["North"]

        def generate_prm_output_file(difa_list, difc_list, tzero_list,
                                     bank_name, kwargs_to_pass):
            file_path = calibration_dir + EnggUtils.generate_output_file_name(
                ceria_path, instrument, bank=bank_name)
            EnggUtils.write_ENGINX_GSAS_iparam_file(file_path, difa_list,
                                                    difc_list, tzero_list,
                                                    bk2bk_params,
                                                    **kwargs_to_pass)
            set_setting(output_settings.INTERFACES_SETTINGS_GROUP,
                        output_settings.ENGINEERING_PREFIX,
                        "last_calibration_path", file_path)

        def save_pdcal_output_file(ws_name_suffix, bank_name):
            file_path = calibration_dir + EnggUtils.generate_output_file_name(
                ceria_path, instrument, bank=bank_name, ext=".nxs")
            ws_name = "engggui_calibration_" + ws_name_suffix
            SaveNexus(InputWorkspace=ws_name, Filename=file_path)

        if not path.exists(calibration_dir):
            makedirs(calibration_dir)

        if not (bank or spectrum_numbers or calfile):
            # both banks
            generate_prm_output_file(difa, difc, tzero, "all", kwargs)
            north_kwargs()
            generate_prm_output_file([difa[0]], [difc[0]], [tzero[0]], "north",
                                     kwargs)
            save_pdcal_output_file("bank_1", "north")
            south_kwargs()
            generate_prm_output_file([difa[1]], [difc[1]], [tzero[1]], "south",
                                     kwargs)
            save_pdcal_output_file("bank_2", "south")
        elif bank == "1":
            north_kwargs()
            generate_prm_output_file([difa[0]], [difc[0]], [tzero[0]], "north",
                                     kwargs)
            save_pdcal_output_file("bank_1", "north")
        elif bank == "2":
            south_kwargs()
            generate_prm_output_file([difa[0]], [difc[0]], [tzero[0]], "south",
                                     kwargs)
            save_pdcal_output_file("bank_2", "south")
        elif spectrum_numbers:  # Custom crops use the north bank template
            north_kwargs()
            generate_prm_output_file([difa[0]], [difc[0]], [tzero[0]],
                                     "Cropped", kwargs)
            save_pdcal_output_file("Cropped", "Cropped")
        else:  # custom calfile
            north_kwargs()
            generate_prm_output_file([difa[0]], [difc[0]], [tzero[0]],
                                     "Custom", kwargs)
            save_pdcal_output_file("Custom", "Custom")
        logger.notice(
            f"\n\nCalibration files saved to: \"{calibration_dir}\"\n\n")
コード例 #7
0
 def get_ceria_runno(self):
     if self.ceria_path and self.instrument:
         return path_handling.get_run_number_from_path(
             self.ceria_path, self.instrument)
コード例 #8
0
ファイル: presenter.py プロジェクト: gemmaguest/mantid
 def update_calibration(self, calibration):
     instrument = calibration.get_instrument()
     sample_no = path_handling.get_run_number_from_path(
         calibration.get_sample(), instrument)
     self.statusbar_observable.notify_subscribers(
         f"CeO2: {sample_no}, Instrument: {instrument}")
コード例 #9
0
ファイル: model.py プロジェクト: stuartcampbell/mantid
    def focus_run(self, sample_paths: list, vanadium_path: str,
                  plot_output: bool, instrument: str, rb_num: str,
                  regions_dict: dict) -> None:
        """
        Focus some data using the current calibration.
        :param sample_paths: The paths to the data to be focused.
        :param vanadium_path: Path to the vanadium file from the current calibration
        :param plot_output: True if the output should be plotted.
        :param instrument: The instrument that the data came from.
        :param rb_num: Number to signify the user who is running this focus
        :param regions_dict: dict region name -> grp_ws_name, defining region(s) of interest to focus over
        """
        full_calib_path = get_setting(
            output_settings.INTERFACES_SETTINGS_GROUP,
            output_settings.ENGINEERING_PREFIX, "full_calibration")
        if not Ads.doesExist("full_inst_calib"):
            try:
                full_calib_workspace = Load(full_calib_path,
                                            OutputWorkspace="full_inst_calib")
            except RuntimeError:
                logger.error(
                    "Error loading Full instrument calibration - this is set in the interface settings."
                )
                return
        else:
            full_calib_workspace = Ads.retrieve("full_inst_calib")
        van_integration_ws, van_processed_inst_ws = vanadium_corrections.fetch_correction_workspaces(
            vanadium_path, instrument)

        # check correct region calibration(s) and grouping workspace(s) exists
        inst_ws = path_handling.load_workspace(sample_paths[0])
        for region in regions_dict:
            calib_exists = self._check_region_calib_ws_exists(region)
            grouping_exists = self._check_region_grouping_ws_exists(
                regions_dict[region], inst_ws)
            if not (calib_exists and grouping_exists):
                return

        # loop over samples provided, focus each over region(s) specified in regions_dict
        output_workspaces = []  # List of collated workspaces to plot.
        self._last_focused_files = []
        van_run_no = path_handling.get_run_number_from_path(
            vanadium_path, instrument)
        for sample_path in sample_paths:
            sample_workspace = path_handling.load_workspace(sample_path)
            run_no = path_handling.get_run_number_from_path(
                sample_path, instrument)
            # perform prefocus operations on whole instrument workspace
            prefocus_success = self._whole_inst_prefocus(
                sample_workspace, van_integration_ws, full_calib_workspace)
            if not prefocus_success:
                continue
            sample_plots = [
            ]  # if both banks focused, pass list with both so plotted on same figure
            for region, grouping_kwarg in regions_dict.items():
                tof_output_name = str(
                    run_no) + "_" + FOCUSED_OUTPUT_WORKSPACE_NAME + region
                dspacing_output_name = tof_output_name + "_dSpacing"
                region_calib_ws = self._get_region_calib_ws(region)
                curves = self._get_van_curves_for_roi(region,
                                                      van_processed_inst_ws,
                                                      grouping_kwarg)
                # perform focus over chosen region of interest
                self._run_focus(sample_workspace, tof_output_name, curves,
                                grouping_kwarg, region_calib_ws)
                sample_plots.append(tof_output_name)
                self._save_output(instrument, run_no, van_run_no, region,
                                  tof_output_name, rb_num)
                self._save_output(instrument,
                                  run_no,
                                  van_run_no,
                                  region,
                                  dspacing_output_name,
                                  rb_num,
                                  unit="dSpacing")
                self._output_sample_logs(instrument, run_no, van_run_no,
                                         sample_workspace, rb_num)
            output_workspaces.append(sample_plots)
            DeleteWorkspace(sample_workspace)
        # remove created grouping workspace if present
        if Ads.doesExist("grp_ws"):
            DeleteWorkspace("grp_ws")
        # Plot the output
        if plot_output:
            for ws_names in output_workspaces:
                self._plot_focused_workspaces(ws_names)