Results and reports¶
mpylab stores more than individual final values. Measurement data, evaluations, geometry, configuration, and preceding measurement steps form a traceable history. Text-based output, interactive analysis, and deliverable reports can be derived from that history.
- Measurement data models
- Measurement history and output files
- TEM e0y data
- TEM verification data
- TEM immunity data
- TEM emission data
- Amplifier test data
- MSC calibration and autocorrelation data
- MSC immunity and emission data
- Immunity results and EUT assessment
- Inspecting pickles with PExplorer
- Modular TEM reports
Recommended handling¶
The final pickle is the complete history container.
Measurement data models organizes the supported data containers.
Raw and processed files are readable views of selected data.
TEM e0y data documents measured GTEM field factors and their provenance.
TEM verification data documents verification and immunity-reference fields.
TEM immunity data documents the concrete TEM/GTEM measurement paths.
TEM emission data documents detector data and field correlation.
Amplifier test data documents amplifier gain and compression.
MSC calibration and autocorrelation data documents chamber calibration and autocorrelation.
MSC immunity and emission data documents MSC exposure and emission evaluation.
Immunity results and EUT assessment separates disturbance, EUT events, and assessment.
PExplorer supports interactive inspection of a pickle.
Reports present existing results without evaluating the measurement again.
Only load pickle files from trusted sources. The Python pickle format can execute code while loading and is not a safe interchange format for unknown files.