Skip to main content

Add your description here

Project description

image

About

A pipeline for the computation of the angular power spectrum beyond the Limber approximation. We offer a wide range of probes such as galaxy clustering, including magnification bias, redshift-space distortions and primordial non-Gaussianity, weak lensing, including intrinsic alignment, CMB lensing and CMB integrated Sachs-Wolfe effect.

If you use parts of the code presented here for your research, cite (Reymond et al. , arXiv-2505.22718).

Installation

clone this repo and install it as a Python package using pip:

git clone https://cosmo-gitlab.phys.ethz.ch/cosmo_public/swiftcl
cd swiftcl 
pip install -e .

Contributions

If you want to contribute, please open an issue.

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

swiftcl-0.1.0.tar.gz (73.0 kB view details)

Uploaded Source

Built Distribution

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

swiftcl-0.1.0-py3-none-any.whl (9.3 kB view details)

Uploaded Python 3

File details

Details for the file swiftcl-0.1.0.tar.gz.

File metadata

  • Download URL: swiftcl-0.1.0.tar.gz
  • Upload date:
  • Size: 73.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.12

File hashes

Hashes for swiftcl-0.1.0.tar.gz
Algorithm Hash digest
SHA256 9e3d04f029190648958199eab597d9816193e62050decf29f3ce46b368b9bda9
MD5 7a11b3d032e6db7cf5cd63d0772ba2e8
BLAKE2b-256 581cb7db3a9b85534539040191d123006b88f0ca4eab057a02990bc4c9881774

See more details on using hashes here.

File details

Details for the file swiftcl-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: swiftcl-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 9.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.12

File hashes

Hashes for swiftcl-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 7abc1bc1c212edd29cfb34e869f6cea288e3267c23950d341f558308f4a1f818
MD5 91e745b9ce8f4907e8eafdd07819b621
BLAKE2b-256 eeb3cbcb9dd9f9ea20c5d845fdd5ebe830e5369dd6701c5f70a4af5a644c4d55

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