LoadGSASInstrumentFile dialog.
Table of Contents
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| Filename | Input | string | Mandatory | Path to an GSAS file to load. Allowed extensions: [‘.prm’] |
| OutputTableWorkspace | Output | TableWorkspace | Name of the output TableWorkspace containing instrument parameter information read from file. | |
| UseBankIDsInFile | Input | boolean | True | Use bank IDs as given in file rather than ordinal number of bank. If the bank IDs in the file are not unique, it is advised to set this to false. |
| Banks | Input | int list | ID(s) of specified bank(s) to load, The IDs are as specified by UseBankIDsInFile. Default is all banks contained in input .prm file. | |
| Workspace | InOut | WorkspaceGroup | A workspace group with the instrument to which we add the parameters from the GSAS instrument file, with one workspace for each bank of the .prm file | |
| WorkspacesForBanks | Input | int list | For each bank, the ID of the corresponding workspace in same order as the banks are specified. ID=1 refers to the first workspace in the workspace group, ID=2 refers to the second workspace and so on. Default is all workspaces in numerical order. If default banks are specified, they too are taken to be in numerical order |
Load Ikeda-Carpenter PV parameters from a GSAS instrument file into a table workspace or a workspace group.
Later developments of this algorithm will enable to load back-to-back-exponential pseudo-Voigt parameters translated into BackToBackExponential.
Example - Run LoadGSASInstrumentFile for both TableWorkspace and workspace with Instrument
Note
To run these usage examples please first download the usage data, and add these to your path. In MantidPlot this is done using Manage User Directories.
# We load a GSAS Instrument file with 2 Banks
tws = LoadGSASInstrumentFile("GSAS_2bank.prm")
#Print first four rows
for i in [0,1,2,3]:
row = tws.row(i)
print("{{'Name': '{}','Value_1': {:.2f}, 'Value_2': {:.2f}}}".format(row["Name"], row["Value_1"], row["Value_2"] ))
Output:
{'Name': 'BANK','Value_1': 1.00, 'Value_2': 2.00}
{'Name': 'Alph0','Value_1': 0.00, 'Value_2': 0.00}
{'Name': 'Alph1','Value_1': 0.21, 'Value_2': 0.22}
{'Name': 'Beta0','Value_1': 31.79, 'Value_2': 31.79}
Example - Run LoadGSASInstrumentFile and put parameters into workspace
Note
To run these usage examples please first download the usage data, and add these to your path. In MantidPlot this is done using Manage User Directories.
# First we load MUSR00015189 workspace group
Load("MUSR00015189",OutputWorkspace="groupWs")
groupWs=mtd["groupWs"]
# We clear instrument parameters...
ClearInstrumentParameters(groupWs)
# ...and check they do not exist
instrument = groupWs.getItem(0).getInstrument()
print("Alpha0 parameter exists: {}".format(instrument.hasParameter("Alpha0")))
print("Beta0 parameter exists: {}".format(instrument.hasParameter("Beta0")))
print("SigmaSquared parameter exists: {}".format(instrument.hasParameter("SigmaSquared")))
# Now we load a GSAS Instrument file with 2 Banks into the workspace...
print("\nLoading parameters from GSAS\n")
tws = LoadGSASInstrumentFile(Filename="GSAS_2bank.prm",UseBankIDsInFile=True,Workspace=groupWs,Banks=[1,2])
# ...and check parameters are there again
instrument = groupWs.getItem(0).getInstrument()
print("Alpha0 parameter exists: {}".format(instrument.hasParameter("Alpha0")))
print("Beta0 parameter exists: {}".format(instrument.hasParameter("Beta0")))
print("SigmaSquared parameter exists: {}".format(instrument.hasParameter("SigmaSquared")))
Output:
Alpha0 parameter exists: False
Beta0 parameter exists: False
SigmaSquared parameter exists: False
Loading parameters from GSAS
Alpha0 parameter exists: True
Beta0 parameter exists: True
SigmaSquared parameter exists: True
Categories: AlgorithmIndex | Diffraction\DataHandling
C++ source: LoadGSASInstrumentFile.cpp (last modified: 2019-06-05)
C++ header: LoadGSASInstrumentFile.h (last modified: 2018-10-05)