\(\renewcommand\AA{\unicode{x212B}}\)

FindDeadDetectors v1¶

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