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Repository for python notebook used in GSM hybrid redshift space power spectrum predictions of 1911.04391

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HyPk

This is the code repository for reproducing the results of the paper: Hybrid P(k): general, unified, non-linear matter power spectrum in redshift space

[https://arxiv.org/abs/1911.04391]

If you use these codes in your research, we kindly ask that you cite this repository [https://github.com/nebblu/HyPk] and the following papers:

[https://arxiv.org/abs/1911.04391]

Developers:

Ben Bose, Hans Winther, Alkistis Pourtsidou, Santiago Casas.

MultiDark Data:

http://www.multidark.org/

Simulation data in data/multidark contains measurements made by Hans Winther from the multidark simulation.

MultiDark Data:

Theory data in data/theory contains data files for power spectra computed using ReACT.

[https://github.com/nebblu/ReACT]

It also contains velocity statistics computed using a private library for ReACT. Please contact Ben Bose for access.

Running the Code:

The main code is the Jupyter notebook: HyPk.ipynb

Also included is a Mathematica notebook (errors.nb) to compute the Gaussian covariance of the redshift space power spectrum multipoles.

Packages Required:

  • Python3
  • numpy
  • matplotlib
  • scipy
  • jupyter
  • mcfit (install with pip install mcfit)
  • joblib (install with pip install joblib)

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Please open an issue in the `issues' tab if any problems are encountered :)

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