hankel 1.2.1

Features

• Accurate and fast solutions to many Hankel integrals

• Easy to use and re-use

• Arbitrary order transforms

• Built-in support for radially symmetric Fourier Transforms

• Thoroughly tested.

• only Python 3 compatible.

Quick links

• Documentation: https://hankel.readthedocs.io

• Quickstart+Description: Getting Started

Installation

Either clone the repository and install locally (best for developer installs):

$ git clone https://github.com/steven-murray/hankel.git
$ cd hankel/
$ pip install -U .

Or install from PyPI:

$ pip install hankel

Or install with conda:

$ conda install -c conda-forge hankel

The only dependencies are numpy, scipy and mpmath. These will be installed automatically if they are not already installed.

Dependencies required purely for development (testing and linting etc.) can be installed via the optional extra pip install hankel[dev]. If using conda, they can still be installed via pip: pip install -r requirements_dev.txt.

For instructions on testing hankel or any other development- or contribution-related issues, see the contributing guide.

Acknowledging

If you find hankel useful in your research, please cite

S. G. Murray and F. J. Poulin, “hankel: A Python library for performing simple and accurate Hankel transformations”, Journal of Open Source Software, 4(37), 1397, https://doi.org/10.21105/joss.01397

Also consider starring this repository!

References

Based on the algorithm provided in

H. Ogata, A Numerical Integration Formula Based on the Bessel Functions, Publications of the Research Institute for Mathematical Sciences, vol. 41, no. 4, pp. 949-970, 2005. DOI: 10.2977/prims/1145474602

Also draws inspiration from

Fast Edge-corrected Measurement of the Two-Point Correlation Function and the Power Spectrum Szapudi, Istvan; Pan, Jun; Prunet, Simon; Budavari, Tamas (2005) The Astrophysical Journal vol. 631 (1) DOI: 10.1086/496971