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FAST-PT

NOTE: Active development has moved to https://github.com/jablazek/FAST-PT.

FAST-PT is a code to calculate quantities in cosmological perturbation theory at 1-loop (including, e.g., corrections to the matter power spectrum). The code utilizes Fourier methods combined with analytic expressions to reduce the computation time to scale as N log N, where N is the number of grid points in the input linear power spectrum.

NOTE: v3.1.0 and earlier requires numpy version < 1.24. This is fixed in v3.1.1, which is available on pip and conda.

Easy installation with pip:

  • pip install fast-pt
  • Note: use --no-deps if you use a conda python distribution, or just use conda installation

Easy installation with conda:

  • conda install fast-pt

Full installation with examples:

  • Make sure you have current version of numpy, scipy, and matplotlib
  • download the latest FAST-PT release (or clone the repo)
  • install the repo: python setup.py install
  • run the example: cd examples && python fastpt_example.py
  • hopefully you get a plot!

See the user manual for more details.

Our papers (JCAP 2016, 9, 15; arXiv:1603.04826) and (JCAP 2017, 2, 30; arXiv:1609.05978) describe the FAST-PT algorithm and implementation. Please cite these papers when using FAST-PT in your research. For the intrinsic alignment implementation, cite arXiv:1708.09247.

FAST-PT is under continued development and should be considered research in progress. FAST-PT is open source and distributed with the MIT license. If you have comments, questions, or feedback, please file an issue.