legend-data-monitor
legend-data-monitor is a Python toolkit for monitoring the LEGEND experiment, enabling inspection, visualization, and quality control of experimental data. The main features are:
- dataframe setup: build dataframes containing channel maps and status for subsystems like auxiliary, HPGe and SiPM channels.
- parameter access: retrieve parameters of interest from raw, DSP, hit tiers, or user-defined sources for a given dataset.
- flexible inspection: filter and inspect parameters by time intervals, specific runs, or keys.
- status mapping: plot channel status maps (ON/OFF/...), highlighting channels exceeding or falling below configurable thresholds.
- automated monitoring workflows: semi-offline and continuous performance checks.
- visualization utilities: generate time series plots, histograms, and other performance indicators for monitoring.
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Release files for legend-data-monitor 2.1.6
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Source distribution (sdist)
| File | Size | Uploaded | |
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| legend_data_monitor-2.1.6.tar.gz | 268.5 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| legend_data_monitor-2.1.6-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 427.1 kB
Release files / legend_data_monitor-2.1.6.tar.gz
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