LoadEventNexus dialog.
Table of Contents
Loads an Event NeXus file and stores as an EventWorkspace. Optionally, you can filter out events falling outside a range of times-of-flight and/or a time interval.
| Name | Direction | Type | Default | Description |
|---|---|---|---|---|
| Filename | Input | string | Mandatory | The name of the Event NeXus file to read, including its full or relative path. The file name is typically of the form INST_####_event.nxs (N.B. case sensitive if running on Linux). Allowed extensions: [‘_event.nxs’, ‘.nxs.h5’, ‘.nxs’] |
| OutputWorkspace | Output | Workspace | Mandatory | The name of the output EventWorkspace or WorkspaceGroup in which to load the EventNexus file. |
| FilterByTofMin | Input | number | Optional | Optional: To exclude events that do not fall within a range of times-of-flight. This is the minimum accepted value in microseconds. Keep blank to load all events. |
| FilterByTofMax | Input | number | Optional | Optional: To exclude events that do not fall within a range of times-of-flight. This is the maximum accepted value in microseconds. Keep blank to load all events. |
| FilterByTimeStart | Input | number | Optional | Optional: To only include events after the provided start time, in seconds (relative to the start of the run). |
| FilterByTimeStop | Input | number | Optional | Optional: To only include events before the provided stop time, in seconds (relative to the start of the run). |
| NXentryName | Input | string | Optional: Name of the NXentry to load if it’s not the default. | |
| BankName | Input | str list | Optional: To only include events from one bank. Any bank whose name does not match the given string will have no events. | |
| SingleBankPixelsOnly | Input | boolean | True | Optional: Only applies if you specified a single bank to load with BankName. Only pixels in the specified bank will be created if true; all of the instrument’s pixels will be created otherwise. |
| Precount | Input | boolean | True | Pre-count the number of events in each pixel before allocating memory (optional, default False). This can significantly reduce memory use and memory fragmentation; it may also speed up loading. |
| CompressTolerance | Input | number | -1 | Run CompressEvents while loading (optional, leave blank or negative to not do). This specified the tolerance to use (in microseconds) when compressing. |
| ChunkNumber | Input | number | Optional | If loading the file by sections (‘chunks’), this is the section number of this execution of the algorithm. |
| TotalChunks | Input | number | Optional | If loading the file by sections (‘chunks’), this is the total number of sections. |
| LoadMonitors | Input | boolean | False | Load the monitors from the file (optional, default False). |
| MonitorsAsEvents | Input | boolean | False | If present, load the monitors as events. ‘’‘WARNING:’‘’ WILL SIGNIFICANTLY INCREASE MEMORY USAGE (optional, default False). |
| FilterMonByTofMin | Input | number | Optional | Optional: To exclude events from monitors that do not fall within a range of times-of-flight. This is the minimum accepted value in microseconds. |
| FilterMonByTofMax | Input | number | Optional | Optional: To exclude events from monitors that do not fall within a range of times-of-flight. This is the maximum accepted value in microseconds. |
| FilterMonByTimeStart | Input | number | Optional | Optional: To only include events from monitors after the provided start time, in seconds (relative to the start of the run). |
| FilterMonByTimeStop | Input | number | Optional | Optional: To only include events from monitors before the provided stop time, in seconds (relative to the start of the run). |
| SpectrumMin | Input | number | Optional | The number of the first spectrum to read. |
| SpectrumMax | Input | number | Optional | The number of the last spectrum to read. |
| SpectrumList | Input | int list | A comma-separated list of individual spectra to read. | |
| MetaDataOnly | Input | boolean | False | If true, only the meta data and sample logs will be loaded. |
| LoadLogs | Input | boolean | True | Load the Sample/DAS logs from the file (default True). |
The LoadEventNeXus algorithm loads data from an EventNexus file into an EventWorkspace. The default histogram bin boundaries consist of a single bin able to hold all events (in all pixels), and will have their units set to time-of-flight. Since it is an EventWorkspace, it can be rebinned to finer bins with no loss of data.
Sample logs, such as motor positions or e.g. temperature vs time, are also loaded using the LoadNexusLogs v1 child algorithm.
If desired, you can filter out the events at the time of loading, by specifying minimum and maximum time-of-flight values. This can speed up loading and reduce memory requirements if you are only interested in a narrow range of the times-of-flight of your data.
You may also filter out events by providing the start and stop times, in seconds, relative to the first pulse (the start of the run).
If you wish to load only a single bank, you may enter its name and no events from other banks will be loaded.
The Precount option will count the number of events in each pixel before allocating the memory for each event list. Without this option, because of the way vectors grow and are re-allocated, it is possible for up to 2x too much memory to be allocated for a given event list, meaning that your EventWorkspace may occupy nearly twice as much memory as needed. The pre-counting step takes some time but that is normally compensated by the speed-up in avoid re-allocating, so the net result is smaller memory footprint and approximately the same loading time.
Veto pulses can be filtered out in a separate step using FilterByLogValue v1:
FilterByLogValue(InputWorkspace="ws", OutputWorkspace="ws", LogName="veto_pulse_time", PulseFilter="1")
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.
Example - Load SNS/ISIS event Nexus file:
# Load SNS HYS event dataset
ws = LoadEventNexus('HYS_11092_event.nxs')
print "The number of histograms (spectra) is: " + str(ws.getNumberHistograms())
Output:
The number of histograms (spectra) is: 20480
Example - Load event nexus file with time filtering:
# Load SNS CNCS event dataset between 10 and 20 minutes
ws = LoadEventNexus('CNCS_7860_event.nxs', FilterByTimeStart=600, FilterByTimeStop=1200)
print "The number of events: " + str(ws.getNumberEvents())
Output:
The number of events: 112266
Categories: Algorithms | DataHandling | Nexus