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MATLAB scripts to analyse cw-ESR data. ESR-Analyses requires thenatural constants package.

If you publish any data processed with the ESR-Analyses routines, please cite Schott, S.et al.Nat. Phys. 15, 814–822 (2019) where themethods implemented here have been first published.

ESR-Analyses is structured as a package, to avoid name space conflicts with othertoolboxes such as easyspin. Once downloaded, please rename the top level folder to"+esr_analyses". You can then access all functions by prependingesr_analyses, forexample asesr_analyses.lorentzian, or after importing all functions from the packagewithimport esr_analyses.*. An introduction to MATLAB packages is givenhere.

ESR-Analyses is composed of:

1. General utility functions which are useful in an ESR context:

   • Functions for common resonance lineshapes:lorentzian,gaussian, etc.
   • Utility functions for common conversions:b2g (converts magnetic field tog-factor),chi2nspin (converts susceptibility to number of spins), etc.
   • Functions to simulate ESR spectra:field_mod_sim,ESRLorentzSimulation, etc.

2. Functions to read and manipulate Bruker Xepr data files:

   • BrukerRead to read Xepr data files and return the measurement data as well allmeasurement parameters.
   • Functions to process the data:normalise_spectrum,subtract_background,baseline_corr, etc.

3. Functions to analyse cw-ESR data:

   • Low-level functions for specific tasks:gfactor_determination,double_int_num,spin_counting, etc.
   • High-level functions:PowerSatAnalysesLorentzFit,PowerSatAnalysesVoigtFit, etc.

All functions do exactly what you would expect from their name, and most of them are welldocumented. Therefore, please refer to the individual doc-strings for more information.

• The latest version of Matlab is recommended (Matlab 2020b as of writing)
• Image Processing Toolbox
• Curve Fitting Toolbox
• Statistics and Machine Learning Toolbox