Releases: tillbiskup/cwepr
Version 0.5.1
Released 2024-02-24
Fixes
cwepr.io.esp_winepr.ESPWinEPRImporter
can better detect WinEPR files.cwepr.io.esp_winepr.ESPWinEPRImporter
allows for setting the file format explicitly
Version 0.5.0
Released 2023-10-24
New features
- Renamed CsvImporter to TxtImporter and vice versa, generalised handling of text files. Now inherits from aspecd.io.TxtImporter.
Changes
- Add comments on how to prevent figure title to clash with g axis
Version 0.4.0
Released 2023-07-15
Note: Starting with this version, cwepr requires ASpecD >= 0.8.0.
New features
-
Add Frequency Correction with offset: This keeps the hyperfine splitting values.
-
Amplitude sweep importer for Magnettech. Averaging of temperature and Q-Values of the single measurements. A warning is issued if the values vary too much.
-
Implement Digital Filter into metadata.
-
Data is imported according to its file extension specified in the recipe.
-
Added support for cwepr-infofile version 0.1.5
-
Handling of data from Magnettech-Files: The filtered first derivative spectrum is taken by its name by default. The parameter can be set to also import other data curves such as the second derivative or the sinus part.
Changes
- Extend cw-EPR primer: additional notes on recording spectra
Fixes
-
Fix bug in analysis.FitOnData by using a helper dataset.
-
Fix some metadata in magnettech importer (experiment.runs -> signal_channel.accumulations, correctly import spectrometer metadata, bring time stamp to same timezone.)
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Do range extraction and interpolation (instead of interpolation only) in GoniometerSweepImporter.
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Fix FieldCorrection to update correct axis and update metadata.
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Win-EPR importer makes less mistakes in guessing the unit of the field axis.
Version 0.3.0
Released 2022-07-24
New features
- Add linear fit with fixed intercept to FitOnData, renamed function accordingly.
- Importer for NIEHS dat, lmb, and exp files
Version 0.2.1
Released 2022-06-12
New features
- Reference to publication in documentation and colophon of reports.
Fixes
- Import units correctly using the BES3T importer.
- Magnettech goniometer sweep importer handles situation without info file.
- Fix for import and gathering of metadata of both sources in WinEPR Importer.
- Units are imported correctly from par file in WinEPR importer.
Version 0.2.0
Released 2021-11-28
Note: Starting with this version, cwepr requires Python >=3.7
New features
- Importer for Bruker EMX/ESP file format (.par/.spc)
- g value can be provided for
cwepr.analysis.FieldCalibration
- New module
utils
for general-purpose functions regarding cw-EPR spectroscopy - Functions
cwepr.utils.convert_g2mT
andcwepr.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.
cwepr.plotting.PowerSweepAnalysisPlotter
for graphical representation of power saturation curves including a second axis with the actual microwave power.- List of example recipes, available both in the source repository and from the documentation.
Changes
- Renamed class
FieldCorrectionValue
tocwepr.analysis.FieldCalibration
cwepr.processing.FieldCorrection
: Rename parametercorrection_value
tooffset
Fixes
cwepr.processing.GAxisCreation
returns correct g axis values- Reporters do not contain dataset in their dict representation
cwepr.io.factory.DatasetImporterFactory
falls back to ASpecD-supported formats if no matching format is found.
Version 0.1.2
Released 2021-06-19
- Correct version on PyPI
Version 0.1.1
Released 2021-06-19
The following bugs have been fixed:
- Bugfix in Normalisation in combination with aspecd
- Bugfix in Magnettech-Import, additional test for InfofileReporter
- Bugfix in GoniometerSweepImporter and Reporter to get correct format of some numbers
Version 0.1.0
Released 2021-06-03
- First public release
- Based on ASpecD v.0.2.1
- List of processing steps specific for cw-EPR data
- List of analysis steps specific for cw-EPR data
- List of plots specific for cw-EPR data
- Importers for different file formats
- Recipe-driven data analysis