Skip to main content

Fast approximations of scattering spectra with SVR.

Project description

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

  • A basic vignette of how to use SVSA to approximate the Tenti S6 lineshape model is available in as an ipython notebook.

  • 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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

svsa-0.0.8.1.tar.gz (5.0 kB view details)

Uploaded Source

File details

Details for the file svsa-0.0.8.1.tar.gz.

File metadata

  • Download URL: svsa-0.0.8.1.tar.gz
  • Upload date:
  • Size: 5.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.10

File hashes

Hashes for svsa-0.0.8.1.tar.gz
Algorithm Hash digest
SHA256 0ea9a29302ecffc04ac134934ef968a44f105da7661af6904bf90cd46856c3a2
MD5 dd961edb3be8eb334f36e10ef185566d
BLAKE2b-256 000ff9becd3c3be1e51625d267da85121f16c9eefa2ce9602f650b603e4ff7a6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page