Event Workspace

Quick Summary For Users

The EventWorkspace is a type of MatrixWorkspace, where the information about each individual neutron detection event is maintained. For you as a user, this means that:

  • You can rebin an EventWorkspace over and over and no information is ever lost (as long as you choose the PreserveEvents option).
  • The histogram (Y and E values) of an EventWorkspace are only calculated when they are requested.
    • You typically get better performance, even for very fine binning.
  • You can convert an EventWorkspace to a Workspace2D by using the Rebin algorithm and changing the output workspace name.
  • You cannot modify the histogram Y values (for example, with the Divide algorithm) and keep the event data. If you use an algorithm that modifies the Y values, the output workspace will be a Workspace2D using the current binning parameters. If you set the same name on the output as the input of your algorithm, then you will overwrite the EventWorkspace and lose that event-based information.
  • Some algorithms are EventWorkspace-aware, meaning that the output of it can be another EventWorkspace. For example, the Plus algorithm will append the event lists if given two input EventWorkspaces.
  • Since it retains the most information, it is advantageous to keep your data as an EventWorkspace for as much processing as is possible (as long as you have enough memory!).

Working with Event Workspaces in Python

EventWorkspace is designed to be able to be read (but not written to) like a MatrixWorkspace. You can look at the Event Workspace API reference for a full list of properties and operations, but here are some of the key ones.

Accessing Workspaces

The methods for getting a variable to an EventWorkspace is the same as shown in the Workspace help page.

If you want to check if a variable points to something that is an Event Workspace you can use this:

from mantid.api import IEventWorkspace

eventWS = CreateSampleWorkspace(WorkspaceType="Event")

if isinstance(eventWS, IEventWorkspace):
    print eventWS.getName() + " is an " + eventWS.id()

Output:

eventWS is an EventWorkspace

Event Workspace Properties

In addition to the Properties of the MatrixWorkspace, the Event Workspace also has the following:

eventWS = CreateSampleWorkspace(WorkspaceType="Event")

print "Number of events:", eventWS.getNumberEvents()
print "Maximum time of flight:", eventWS.getTofMax()

Event lists

Event Workspaces store their data in event lists, one per spectrum. You can access them using:

eventWS = CreateSampleWorkspace(WorkspaceType="Event")

# get the number of event lists
evListCount = eventWS.getNumberHistograms()

# Get the first event list
evList = eventWS.getSpectrum(0)

# Get some basic information
print "Number of events in event List 0:", evList.getNumberEvents()
print "Minimum time of flight in event List 0:", evList.getTofMax()
print "Maximum time of flight in event List 0:", evList.getTofMax()
print "Memory used:", evList.getMemorySize()
print "Type of Events:", evList.getEventType()

# Get a vector of the pulse times of the events
pulseTimes = evList.getPulseTimes()

# Get a vector of the TOFs of the events
tofs = evList.getTofs()

# Get a vector of the weights of the events
weights = evList.getWeights()

# Get a vector of the errors squared of the weights of the events
weightErrors = evList.getWeightErrors()

# Integrate the events between  a range of X values
print "Events between 1000 and 5000:", evList.integrate(1000,5000,False)

#Check if the list is sorted in TOF
print "Is sorted by TOF:", evList.isSortedByTof()

Changing EventLists

Please note these should only be done as part of a Python Algorithm, otherwise these actions will not be recorded in the workspace history.

import math
eventWS = CreateSampleWorkspace(WorkspaceType="Event")
# Get the first event list
evList = eventWS.getSpectrum(0)

# Add an offset to the pulsetime (wall-clock time) of each event in the list.
print "First pulse time before addPulsetime:", evList.getPulseTimes()[0]
seconds = 200.0
evList.addPulsetime(seconds)
print "First pulse time after addPulsetime:", evList.getPulseTimes()[0]

# Add an offset to the TOF of each event in the list.
print "First tof before addTof:", evList.getTofs()[0]
microseconds = 2.7
evList.addTof(microseconds)
print "First tof after addTof:", evList.getTofs()[0]

# Convert the tof units by scaling by a multiplier.
print "First tof before scaleTof:", evList.getTofs()[0]
factor = 1.5
evList.scaleTof(factor)
print "First tof after scaleTof:", evList.getTofs()[0]

# Multiply the weights in this event list by a scalar with an error.
print "First event weight before multiply:", evList.getWeights()[0], \
      "+/-", math.sqrt(evList.getWeightErrors()[0])
factor = 10.0
error = 5.0
evList.multiply(factor,error)
print "First event weight after multiply:", evList.getWeights()[0], \
      "+/-", math.sqrt(evList.getWeightErrors()[0])

# Divide the weights in this event list by a scalar with an error.
print "First event weight before divide:", evList.getWeights()[0], \
      "+/-", math.sqrt(evList.getWeightErrors()[0])
factor = 1.5
error = 0.0
evList.divide(factor,error)
print "First event weight after divide:", evList.getWeights()[0], \
      "+/-", math.sqrt(evList.getWeightErrors()[0])

# Mask out events that have a tof between tofMin and tofMax (inclusively)
print "Number of events before masking:", evList.getNumberEvents()
evList.maskTof(1000,5000)
print "Number of events after masking:", evList.getNumberEvents()

For Developers/Writing Algorithms

The following information will be useful to you if you want to write an algorithm that is EventWorkspace-aware.

Individual Neutron Event Data (TofEvent)

The TofEvent class holds information for each neutron detection event data:

  • PulseTime: An absolute time of the pulse that generated this neutron. This is saved as an INT64 of the number of nanoseconds since Jan 1, 1990; this can be converted to other date and time formats as needed.
  • tof: Time-of-flight of the neutron, in microseconds, as a double. Note that this field can be converted to other units, e.g. d-spacing.

Lists of Events (EventList)

  • The EventList class consists of a list of TofEvent’s. The order of this list is not significant, since various algorithms will resort by time of flight or pulse time, as needed.
  • Also contained in the EventList is a std::set of detector ID’s. This tracks which detector(s) were hit by the events in the list.
  • The histogram bins (X axis) are also stored in EventList. The Y and E histogram data are not, however, as they are calculated by the MRU (below).

The += operator can be used to append two EventList’s together. The lists of TofEvent’s get appended, as is the list of detector ID’s. Don’t mess with the udetmap manually if you start appending event lists - just call EventWorkpspace->makeSpectraMap to generate the spectra map (map between spectrum # and detector IDs) by using the info in each EventList.

Most Recently Used List (MRUList)

An EventWorkspace contains a list of the 100 most-recently used histograms, a MRUList. This MRU caches the last histogram data generated for fastest display.

A note about workspace index / spectrum number / detector ID

For event workspaces there is no benefit, and only a drawback to grouping detectors in hardware, therefore most of the loading algorithms for event data match the workspace index and spectrum number in the EventWorkspace. Therefore, in an EventWorkspace, the two numbers will be the same, and your workspace’s Axis[1] is a simple 1:1 map. As mentioned above, the detectorID is saved in EventList, but the makeSpectraMap() method generates the usual SpectraDetectorMap object.

Workspace2D compatibility

EventWorkspace is designed to be able to be read (but not written to) like a MatrixWorkspace. By default, if an algorithm performs an operation and outputs a new workspace, the WorkspaceFactory will create a Workspace2D copy of your EventWorkspace’s histogram representation. If you attempt to change an EventWorkspace’s Y or E data in place, you will get an error message, since that is not possible.

A Note about Thread Safety

Thread safety can be surprising when using an EventWorkspace:

If two threads read a Y histogram at the same time, this can cause problems. This is because the histogramming code will try to sort the event list. If two threads try to sort the same event list, you can get segfaults.

Remember that the PARALLEL_FOR1(), PARALLEL_FOR2() etc. macros will perform the check Workspace->threadSafe() on the input EventWorkspace. This function will return false (thereby disabling parallelization) if any of the event lists are unsorted.

You can go around this by forcing the parallel loop with a plain PARALLEL_FOR() macro. Make sure you do not read from the same spectrum in parallel!

Other Information on Workspaces

  • Workspace - Overview of workspaces, which include the following classes:
    • MatrixWorkspace - A base class that contains among others:
      • WorkspaceSingleValue - Holds a single number (and X & error value, if desired). Mainly used for workspace algebra, e.g. to divide all bins in a 2D workspace by a single value.
      • Workspace2D - A workspace for holding two dimensional data in memory, this is the most commonly used workspace.
      • EventWorkspace - A workspace that retains the individual neutron event data.
    • TableWorkspace - A workspace holding data in rows of columns having a particular type (e.g. text, integer, ...).
    • WorkspaceGroup - A container for a collection of workspaces. Algorithms given a group as input run sequentially on each member of the group.

Category: Concepts