Skip to main content

package for computing power spectra and bispectra

Project description

CosmoWAP

   ______                         _       _____    ____ 
  / ____/___  _________ ___  ____| |     / /   |  / __ \
 / /   / __ \/ ___/ __ `__ \/ __ \ | /| / / /| | / /_/ /
/ /___/ /_/ (__  ) / / / / / /_/ / |/ |/ / ___ |/ ____/ 
\____/\____/____/_/ /_/ /_/\____/|__/|__/_/  |_/_/      
                                                        

PyPI version Licence Docs Codacy Badge PyPI version PyPI Downloads

Cosmology with Wide-separation, relAtivistic and Primordial non-Gaussian contributions.

CosmoWAP is an effort to provide a (hopefully) self consistent framework to compute contributions within standard perturbation theory to the Fourier power spectrum and bispectrum including wide-separation and relativistic effects as well as Primordial non-Gaussianity (PNG). These expressions can be very cumbersome and it can be tricky to check for consistency in the community and so hopefully this code should be useful in that regard.

CosmoWAP is a Python package to analyse the power spectra and bispectra but the analytical expressions themselves are computed analytically in Mathematica using routines which are publicly available at MathWAP and then exported as .py files. Therefore the main functionality of CosmoWAP is to take these expressions and implement them for a given cosmology (from CLASS) and set of survey parameters.

Documentation

Documentation

Full documentation is available at ReadtheDocs.

[!NOTE] Note this is still in progress as this is an evolving repo! Occasionally parts will be outdated and will contain deprecated methods.

Installation

[!NOTE] Requires at least Python >=3.10 for full functionality. For use of CosmoPower emulators we recommend using Python 3.10 or 3.11 - See Docs for full details.

pip install cosmowap

For Development mode...

Clone repository:

git clone https://github.com/craddis1/CosmoWAP.git

and then make editable install:

cd cosmowap
pip install -e .

See requirements.txt for full list of dependencies (most are common python libraries). classy (CLASS python wrapper) is necessary to fully use CosmoWAP.

Features

CosmoWAPs aim is to provide self-consistent modelling for the linear bispectrum and power spectrum. It contains redshift space expressions for the 3D Fourier (multipoles and full LOS dependent expressions) power spectrum (with multi-tracer capabilities) as well as the bispectrum (with Sccoccimarro spherical harmonic multipoles), including terms from:

  • Wide separation (WS) effects (i.e. wide angle and radial redshift contributions) up to second order in the WS expansion
  • Local Relativistic (GR) effects (including projection and dynamical effects) up to $\left(\frac{\mathcal{H}}{k}\right)^2$
  • Integrated Effects, (e.g. lensing + ISW...) (power spectrum only currently)
  • Primordial non-Gaussian (PNG) contribution for local, equilateral and orthogonal types

It also has a fully integrated forecasting and plotting library that allows these expressions to be explored.

additional features

  • Bias modelling through Luminosity functions and HOD/HMF
  • Multi-tracer multipole covariances (assuming gaussianity)
  • Finger-of-God damping and non-linear corrections
  • TriPOSH bispectrum expansion terms (Coming soon)

Usage

Base code based on work in arXiv:2407.00168

For Integrated effects see: arXiv:2511.09466

For PNG and Forecasting routines related please also refer to: arXiv:25xx.xxxx

Contact

If you find any bugs or errors or have any questions and suggestions feel free to get in touch :) - c.l.j.addis@qmul.ac.uk

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

cosmowap-0.6.1.tar.gz (5.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

cosmowap-0.6.1-py3-none-any.whl (5.2 MB view details)

Uploaded Python 3

File details

Details for the file cosmowap-0.6.1.tar.gz.

File metadata

  • Download URL: cosmowap-0.6.1.tar.gz
  • Upload date:
  • Size: 5.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for cosmowap-0.6.1.tar.gz
Algorithm Hash digest
SHA256 9274f834e509a24a0939999cbcdf510d50db2a781adac230a52586ba77eda200
MD5 6c1dc7250780ad70e15c429648a5600e
BLAKE2b-256 caa73def949fa326b9cd40d7efc6cf27712d761a71b511d87737ff3ab16cb64a

See more details on using hashes here.

File details

Details for the file cosmowap-0.6.1-py3-none-any.whl.

File metadata

  • Download URL: cosmowap-0.6.1-py3-none-any.whl
  • Upload date:
  • Size: 5.2 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.13.5

File hashes

Hashes for cosmowap-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 2bca3b6a2b7ed0983fec87ae0c8c3fb825ca9eb7b25438098d36a0b9b11299da
MD5 133c7ff4b2604647dc0fdb0b867bc308
BLAKE2b-256 82ef4ae4c49cc7f844e558fa7270ddc2029c376a597a3156f102ebf8c3364a0f

See more details on using hashes here.

Supported by

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