https://github.com/tmcclintock/fastcorr

Fast routines for computing correlation functions, power spectra, and other transforms.
https://github.com/tmcclintock/fastcorr

Last synced: about 2 months ago
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Fast routines for computing correlation functions, power spectra, and other transforms.

• Host: GitHub
• URL: https://github.com/tmcclintock/fastcorr
• Owner: tmcclintock
• License: mit
• Created: 2019-03-02T20:01:45.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2019-03-04T10:00:11.000Z (about 6 years ago)
• Last Synced: 2025-02-07T16:36:00.980Z (3 months ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 441 KB
• Stars: 1
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# FastCorr integration routines

Numerical integrals can be hard. Worse than that, numerical integrals can also be very slow. A way to compute some integrals quickly is using Gaussian quadrature rules. In a paper by [Ogata](http://www.kurims.kyoto-u.ac.jp/~okamoto/paper/Publ_RIMS_DE/41-4-40.pdf) in 2005, the author wrote down a quadrature rule for integrals of the form

PICTURE OF MATH

These types of integrals appear very often in cosmology (my field). This package implements that quadrature rule and provides near-optimal implementations of the integral for certain orders of Bessel functions.