svsa: Support Vector Spectrum Approximator
The Support Vector Spectrum Approximator (SVSA) is a python package for creating quick and accurate approximations of any spectral lineshapes model.
Software
- Our python package svsa is available on pypi.
Vignettes
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A basic vignette of how to use SVSA to approximate the Tenti S6 lineshape model is available in as an ipython notebook.
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Once fit in python you can export the fit for use in any other language. Examples can be found for how to do this for Matlab and the R language.
Papers
1. "Fast approximations of spectral lineshapes to enable optimization of a filtered rayleigh scattering experiment" MST (2020)
- Our publication in MST is available here
1 maintainer
Release files for svsa 0.0.8.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
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| svsa-0.0.8.2.tar.gz | 5.0 kB | Details |
Release files / svsa-0.0.8.2.tar.gz
| Download URL | svsa-0.0.8.2.tar.gz |
|---|---|
| Size | 5.0 kB |
| Tags | Source |
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