Data processing

Data processing is a necessary prerequisite for data analysis, and therefore separate from the latter. The main effort in spectroscopy is usually not recording the raw data, but processing and analysing those data in order to answer the questions that triggered the measurements in the first place.

Processing steps can be categorised further. The following is an attempt to do that for trEPR data and to summarise how to properly record and (post-)process trEPR data. For more authoritative answers, you may as well have a look into the EPR literature.

• Preprocessing for every dataset

  • Pretrigger offset compensation

  • Background correction

• Processing for slices along one dimension

  • Averaging to obtain spectra (intensity vs. field)

  • Baseline correction

• Processing steps for comparing measurements

  • Frequency correction

  • Normalisation