Skip to main content

A set of tools for LISA stochastic gravitational wave detection

Project description

backgrounds

A set tools for stochastic gravitational wave backgrounds data analysis.

Documentation

A documentation is available on Github pages: https://qbaghi.pages.in2p3.fr/backgrounds

Dependencies

Backgrounds requires LISA Constants and LISA GW Response from the LISA Simulation suite, which can be installed as

pip install git+https://@gitlab.in2p3.fr/lisa-simulation/constants.git@latest
pip install git+https://gitlab.in2p3.fr/lisa-simulation/gw-response.git@latest

To run the scripts in the tests folder it is recommanded to install the packages listed in the requirements:

pip install --no-cache-dir -r requirements.txt

Installation

Released version

Simply run

pip install backgrounds

Development version

You need to be part of the LISA Consortium and have access to the IN2P3 Gitlab to access the development version. This will change in the future.

Please clone the repository and do a manual installation:

git clone git@gitlab.in2p3.fr:qbaghi/backgrounds.git
cd backgrounds
pip install -e .

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

backgrounds-0.1.3.tar.gz (60.8 kB view details)

Uploaded Source

Built Distribution

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

backgrounds-0.1.3-py3-none-any.whl (68.9 kB view details)

Uploaded Python 3

File details

Details for the file backgrounds-0.1.3.tar.gz.

File metadata

  • Download URL: backgrounds-0.1.3.tar.gz
  • Upload date:
  • Size: 60.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.3 Darwin/24.6.0

File hashes

Hashes for backgrounds-0.1.3.tar.gz
Algorithm Hash digest
SHA256 980efbdecdc30e6aa088d6c2759303003785631a756b18606d04e50cc07f57ff
MD5 22985f63f1a8d3df7e2d857fb42269e8
BLAKE2b-256 5a642d7a18b02ef6ab28b83718f35f64b79be2af4a2efa49b74acd3629cd5bcb

See more details on using hashes here.

File details

Details for the file backgrounds-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: backgrounds-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 68.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.3 Darwin/24.6.0

File hashes

Hashes for backgrounds-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 b43f49597556d4e2594ed4a09fc50d59d8336167eeb5aa81ce04170fc7961e22
MD5 1d83e3dbed12e9eca49f565a8f86b1fb
BLAKE2b-256 02cc71d8efcdeb9cf490feb6a8d22714b4292d1da99fdab56c90eacaf136aa50

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