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ExtractMaskToTable v1

../_images/ExtractMaskToTable-v1_dlg.png

ExtractMaskToTable dialog.

Summary

The output TableWorkspace should be compatible to MaskBinsFromTable.

See Also

ExtractMask

Properties

Name

Direction

Type

Default

Description

InputWorkspace

Input

MatrixWorkspace

Mandatory

A workspace whose masking is to be extracted or a MaskWorkspace.

MaskTableWorkspace

Input

TableWorkspace

A mask table workspace containing 3 columns: XMin, XMax and DetectorIDsList.

OutputWorkspace

Output

TableWorkspace

A comma separated list or array containing a list of masked detector ID’s

Xmin

Input

number

Optional

Minimum of X-value.

Xmax

Input

number

Optional

Maximum of X-value.

Description

InputWorskpace

It can be either a MaskWorkspace, containing the masking information, or a Data workspace (EventWorkspace or Workspace2D), having detectors masked.

Optional MaskTableWorkspace

If the optional input ‘MaskTableWorkspace’ is given, it must be a table workspace having the same format as output TableWorkspace such that it contains 3 columns, XMin, XMax and DetectorIDsList.

The contents in this mask table workspace will be copied to output workspace.

If a detector is masked in this input ‘MaskTableWorkspace’, and it is also masked in input MaskWorkspace or data workspace, the setup (Xmin and Xmax) in MaskTableWorkspace has higher priority, i.e., in the output mask table workspace, the masked detector will be recorded in the row copied from input MaskTableWrokspace.

Usage

Example - Extract mask to table without optional input table workspace:

# load data
dataws = LoadNexusProcessed(Filename="PG3_2538_2k.nxs")

# mask some detectors
for i in range(100):
    dataws.maskDetectors(100+i)

# Run algorithm
outmaskws = ExtractMaskToTable(InputWorkspace=dataws, Xmin = 12300., Xmax = 24500.)

# Output
print("Number of rows:  {}".format(outmaskws.rowCount()))
print("Row 0: Xmin = %.5f, Xmax = %.5f, DetectorIDsList = %s." % (outmaskws.cell(0, 0), outmaskws.cell(0, 1), outmaskws.cell(0, 2)))

Output:

Number of rows:  1
Row 0: Xmin = 12300.00000, Xmax = 24500.00000, DetectorIDsList =  27599-27698.

Example - Extract mask to table with an optional input table workspace:

# load data
dataws = LoadNexusProcessed(Filename="PG3_2538_2k.nxs")

# mask some detectors
for i in range(100):
    dataws.maskDetectors(100+i)

# create a mask table workspacetws =
tws = CreateEmptyTableWorkspace()
tws.addColumn("double", "XMin")
tws.addColumn("double", "XMax")
tws.addColumn("str", "DetectorIDsList")
tws.addRow([10000, 20000, "10000"])
tws.addRow([12000, 20000, "20000, 20002-20004"])

# run algorithm
outmaskws = ExtractMaskToTable(InputWorkspace=dataws, MaskTableWorkspace=tws, Xmin = 12300., Xmax = 24500.)

# Write some result
print("Number of rows:  {}".format(outmaskws.rowCount()))
print("Row 0: Xmin = %.5f, Xmax = %.5f, DetectorIDsList = %s." % (outmaskws.cell(0, 0), outmaskws.cell(0, 1), outmaskws.cell(0, 2)))
print("Row 1: Xmin = %.5f, Xmax = %.5f, DetectorIDsList = %s." % (outmaskws.cell(1, 0), outmaskws.cell(1, 1), outmaskws.cell(1, 2)))
print("Row 2: Xmin = %.5f, Xmax = %.5f, DetectorIDsList = %s." % (outmaskws.cell(2, 0), outmaskws.cell(2, 1), outmaskws.cell(2, 2)))

Output:

Number of rows:  3
Row 0: Xmin = 10000.00000, Xmax = 20000.00000, DetectorIDsList = 10000.
Row 1: Xmin = 12000.00000, Xmax = 20000.00000, DetectorIDsList = 20000, 20002-20004.
Row 2: Xmin = 12300.00000, Xmax = 24500.00000, DetectorIDsList =  27599-27698.

Categories: AlgorithmIndex | Transforms\Masking

Source

C++ header: ExtractMaskToTable.h

C++ source: ExtractMaskToTable.cpp