GetSpiceDataRawCountsFromMD dialog.
Table of Contents
Get detectors’ raw counts or sample environment log values from IMDEventWorkspace created from SPICE data file.
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| InputWorkspace | Input | MDEventWorkspace | Mandatory | Name of the input data MDEventWorkspace from which the raw values are retrieved. |
| MonitorWorkspace | Input | MDEventWorkspace | Mandatory | Name of the input monitor MDEventWorkspace paired with input data workspace. |
| OutputWorkspace | Output | MatrixWorkspace | Mandatory | Name of the output MatrixWorkspace containing the raw data required. |
| Mode | Input | string | Detector | Mode selector. (1) Pt.: get the raw detectors’ signal of the specified Pt.; (2) Detector: get one detector’s signals along all experiment points; (3) Sample Log: get the value of a sample log along all experiment points. Allowed values: [‘Pt.’, ‘Detector’, ‘Sample Log’] |
| XLabel | Input | string | Label for the X-values of the output MatrixWorkspace. For mode ‘Pt.’, it won’t take value. The output of X-axis is always 2-theta. For mode ‘Detector’, if it is left blank, the default then will be 2-theta value of detector’s position. For mode ‘Sample Log’, the default value is ‘Pt.’. In the later 2 modes, XLabel can be any supported sample log’s name. | |
| Pt | Input | number | Optional | Experiment point number (i.e., run_number in MDEventWorkspace of the detectors’ counts to be exported. It is used in mode ‘Pt.’ only. |
| DetectorID | Input | number | Optional | Detector ID of the detector whose raw counts will be exported for all experiment points.It is used in mode ‘Detector’ only. |
| SampleLogName | Input | string | Name of the sample log whose value to be exported. It is used in mode ‘Sample Log’ only. | |
| NormalizeByMonitorCounts | Input | boolean | True | If specified as true, all the output detectors’ counts will be normalized by their monitor counts. |
This algorithm is to export raw experimental data from MDEventWorkspaces, to which a SPICE data file is loaded.
It provides 3 modes, Pt., Detector and Sample Log for various types of experimental data to export.
This algorithm fully supports the SPICE data of powder diffractometers. Some features may not work with other SPICE data.
Two input MDEventWorkspaces that are required.
InputWorkspace is an MDEventWorkspace that stores detectors counts and sample logs. Each run in this MDEventWorkspace corresponds to an individual measurement point in experiment run. Each run has its own instrument object.
The other input MDEventWorkspace, i.e., MonitorWorkspace contains the monitor counts of each measurement point. The signal value of each MDEvent in this workspace is the monitor counts corresponding to an individual detector.
These two MDEventWorkspace should have the same number of runs and same number of MDEvent.
One single-spectrum MatrixWorkspace is the output of this algorithm.
The x-values are the 
positions of all detectors in a specific experiment measuring point (i.e., Pt. and
run number).
The y-values are the raw counts or normalized intensities (by monitor counts)
of all those detectors of the same Pt..
The x-values can be either positions of all detectors or any sample log’s values for all experiment measuring
points (i.e., Pt.).
The y-values are the raw counts or normalized intensities of a specified detector among all Pt..
The x-values can be any sample log’s values of all experiment measuring points (i.e., Pt.). The y-values are the values of a specified sample log among all Pt..
Example - load a SPICE .dat file for HB2A:
# create table workspace and parent log workspace
LoadSpiceAscii(Filename='HB2A_exp0231_scan0001.dat',
IntegerSampleLogNames="Sum of Counts, scan, mode, experiment_number",
FloatSampleLogNames="samplemosaic, preset_value, Full Width Half-Maximum, Center of Mass",
DateAndTimeLog='date,MM/DD/YYYY,time,HH:MM:SS AM',
OutputWorkspace='Exp0231DataTable',
RunInfoWorkspace='Exp0231ParentWS')
# load for HB2A
ConvertSpiceDataToRealSpace(InputWorkspace='Exp0231DataTable',
RunInfoWorkspace='Exp0231ParentWS',
OutputWorkspace='Exp0231DataMD',
OutputMonitorWorkspace='Exp0231MonitorMD')
# Get raw counts of DetID = 20 out
ws = GetSpiceDataRawCountsFromMD(InputWorkspace='Exp0231DataMD',
MonitorWorkspace='Exp0231MonitorMD',
OutputWorkspace='Det20Counts', DetectorID=20)
# output
for i in [3, 9, 44, 60]:
print "X[%d] = %.5f, Y[%d] = %.5f" % (i, ws.readX(0)[i], i, ws.readY(0)[i])
Output:
X[3] = 57.53600, Y[3] = 0.00281
X[9] = 58.13600, Y[9] = 0.00354
X[44] = 61.63600, Y[44] = 0.00315
X[60] = 63.23600, Y[60] = 0.00325
Categories: Algorithms | Diffraction | DataHandling