
Freezed version of code for the non-parametrical recovery of stellar Line-Of-Sight Velocity Distributions (LOSVD) from galaxy spectra. Stellar LOSVD recovery from the observed galaxy spectra is equivalent to a deconvolution and can be solved as a linear inverse problem. To overcome its ill-posed nature we apply smoothing regularization. Here we present a non-parametric fitting technique and show real-world application to **MaNGA** spectral data cubes and **long-slit spectrum** of stellar counter-rotating galaxies. More information about this technique can be found in ADASS XXXI conference proceeding (https://arxiv.org/abs/2112.08386).
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