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FindDeadDetectors v1

../_images/FindDeadDetectors-v1_dlg.png

FindDeadDetectors dialog.

Summary

Identifies and flags empty spectra caused by ‘dead’ detectors.

Properties

Name Direction Type Default Description
InputWorkspace Input MatrixWorkspace Mandatory Name of the input workspace
OutputWorkspace Output MatrixWorkspace Mandatory Each histogram from the input workspace maps to a histogram in this workspace with one value that indicates if there was a dead detector
DeadThreshold Input number 0 The threshold against which to judge if a spectrum belongs to a dead detector
LiveValue Input number 0 The value to assign to an integrated spectrum flagged as ‘live’ (default 0.0)
DeadValue Input number 100 The value to assign to an integrated spectrum flagged as ‘dead’ (default 100.0)
RangeLower Input number Optional No bin with a boundary at an x value less than this will be used in the summation that decides if a detector is ‘dead’ (default: the start of each histogram)
RangeUpper Input number Optional No bin with a boundary at an x value higher than this value will be used in the summation that decides if a detector is ‘dead’ (default: the end of each histogram)
OutputFile Input string   A filename to which to write the list of dead detector UDETs
FoundDead Output int list    

Description

This is then used to mark all ‘dead’ detectors with a ‘dead’ marker value, while all spectra from live detectors are given a ‘live’ marker value.

This algorithm is primarily used to ease identification using the instrument visualization tools.

ChildAlgorithms used

Uses the Integration v1 algorithm to sum the spectra.

Usage

Example - Find various dead detectors

import numpy as np

ws = CreateSampleWorkspace(BinWidth=2000)
#set some detectors as dead
#First - very dead all bins have zero counts
vd_data=[0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0]
ws.setY(10,np.array(vd_data))
#second - drop off some counts, then drops to 0
do_data=[2.0,5.0,4.0,1.0,0.0,0.0,0.0,0.0,0.0,0.0]
ws.setY(15,np.array(do_data))
#third strange some counts, then drops to 0, then recovers
str_data=[0.4,5.0,0.001,0.0,0.0,0.0,0.0,0.0,1.0,1.0]
ws.setY(20,np.array(str_data))

print("With no range will find very dead")
(wsOut,detList) = FindDeadDetectors(ws)
print(detList)

print("\nwith a lower range will find very dead and drop off")
(wsOut,detList) = FindDeadDetectors(ws,RangeLower=8e3)
print(detList)

print("\nwith a lower range and upper range will find all three")
(wsOut,detList) = FindDeadDetectors(ws,RangeLower=8e3, rangeUpper=1.6e4)
print(detList)

Output:

With no range will find very dead
[110]

with a lower range will find very dead and drop off
[110,115]

with a lower range and upper range will find all three
[110,115,120]

Categories: AlgorithmIndex | Diagnostics