Improved pPXF uses analytic Fourier transforms of Gauss-Hermite functions for accurate convolution, providing reliable velocities even when σ is much less than the sampling ΔV.
in Rodrigue G., ed., Parallel Computations
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SciPy 1.0 documents a mature open-source library that has become the de facto standard for scientific algorithms in Python with broad adoption across research projects.
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Improving the full spectrum fitting method: accurate convolution with Gauss-Hermite functions
Improved pPXF uses analytic Fourier transforms of Gauss-Hermite functions for accurate convolution, providing reliable velocities even when σ is much less than the sampling ΔV.
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SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
SciPy 1.0 documents a mature open-source library that has become the de facto standard for scientific algorithms in Python with broad adoption across research projects.