trepr is a Python package for processing and analysis of time-resolved electron paramagnetic resonance (tr-EPR) spectra based on the ASpecD framework and focussing on reproducibility. In short: Each and every processing step applied to your data will be recorded and can be traced back, and additionally, for each representation of your data (e.g., figures, tables) you can easily follow how the data shown have been processed and where they originate from. What is even better: Actual data processing and analysis no longer requires programming skills, but is as simple as writing a text file summarising all the steps you want to have been performed on your dataset(s) in an organised way. Version 0.2.0 released 2022-01-30 Note: Starting with this version, trepr requires Python >=3.7 New features Importer for Berlin fsc2 format: trepr.io.Fsc2Importer Importer for Bruker BES3T format: trepr.io.BES3TImporter trepr.analysis.MWFrequencyValues to extract microwave frequency values from a dataset as a new, calculated dataset (e.g., for graphical display) trepr.analysis.MWFrequencyDrift can return (calculated) datasets trepr.analysis.TimeStampAnalysis can return (calculated) datasets trepr.processing.TriggerAutodetection for automatically detecting the trigger position trepr.analysis.TransientNutationFFT for analysing transient nutations using FFT Functions trepr.utils.convert_g2mT() and trepr.utils.convert_mT2g() to convert between magnetic field values (in mT) and g values Plotters can add g axis as second axis opposite the magnetic field axis. Changes trepr.analysis.MWFrequencyDrift renamed from MwFreqAnalysis Fixes trepr.processing.BackgroundCorrection subtracts background trepr.io.TezImporter gets mapper from package data trepr.io.DatasetImporterFactory falls back to ASpecD-supported formats if no matching format is found. trepr.analysis.MWFrequencyDrift returns correct value for ratio of drift to magnetic field axis step width

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