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Collective optical Thomson scattering (TS) is a diagnostic commonly used tocharacterize plasma parameters. These parameters are typically extracted by afitting algorithm that minimizes the difference between a measured scatteredspectrum and an analytic spectrum calculated from the velocity distributionfunction (VDF) of the plasma. However, most existing TS analysis algorithmsassume the VDFs are Maxwellian, and applying an algorithm which makes thisassumption does not accurately extract the plasma parameters of anon-Maxwellian plasma due to the effect of non-Maxwellian deviations on the TSspectra. We present new open-source numerical tools for forward modelinganalytic spectra from arbitrary VDFs, and show that these tools are able tomore accurately extract plasma parameters from synthetic TS spectra generatedby non-Maxwellian VDFs compared to standard TS algorithms. Estimated posteriorprobability distributions of fits to synthetic spectra for a variety of examplenon-Maxwellian VDFs are used to determine uncertainties in the extracted plasmaparameters, and show that correlations between parameters can significantlyaffect the accuracy of fits in plasmas with non-Maxwellian VDFs.

Recovering non-Maxwellian particle velocity distribution functions from collective Thomson-scattered spectra