Tools for the detection of stochastic gravitational-wave backgrounds based on J.B. Bayle's LISA GW Response.

Project description

backgrounds

Principal component analysis application to stochastic gravitational wave detection.

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

Please clone the repository and do a manual installation:

git clone git@gitlab.in2p3.fr:qbaghi/backgrounds.git
cd backgrounds
python3 setup.py install

Project details

Release history Release notifications | RSS feed

0.1.1

Sep 19, 2024

This version

0.1.0

Sep 17, 2024

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

backgrounds-0.1.0.tar.gz (69.2 kB view details)

Uploaded Sep 17, 2024 Source

Built Distribution

backgrounds-0.1.0-py2.py3-none-any.whl (72.4 kB view details)

Uploaded Sep 17, 2024 Python 2 Python 3

File details

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

File metadata

Download URL: backgrounds-0.1.0.tar.gz
Upload date: Sep 17, 2024
Size: 69.2 kB
Tags: Source
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.11.8

File hashes

Hashes for backgrounds-0.1.0.tar.gz
Algorithm	Hash digest
SHA256	`514b8d6a16f9ae295c16cc9b7ddd096c01913e4320fc724f2ad1cb449e990070`
MD5	`fe28f3dadc0bc8533e20b8c0fddb295c`
BLAKE2b-256	`4b7ee6b4ff5ceca2e2a39dabeeef5fe9446a8e107701e68d0c708371b858b544`

See more details on using hashes here.

File details

Details for the file backgrounds-0.1.0-py2.py3-none-any.whl.

File metadata

Download URL: backgrounds-0.1.0-py2.py3-none-any.whl
Upload date: Sep 17, 2024
Size: 72.4 kB
Tags: Python 2, Python 3
Uploaded using Trusted Publishing? No
Uploaded via: twine/5.1.1 CPython/3.11.8

File hashes

Hashes for backgrounds-0.1.0-py2.py3-none-any.whl
Algorithm	Hash digest
SHA256	`2d14a2de5f82affea7ed0a4ba673e57ba3f5b3f21ce3fe13fb2e49cfaddc9692`
MD5	`d69483ed446710643211d4bfa80d52f7`
BLAKE2b-256	`39c4678eeddf7b84c5995e5f205686a74fb33258e672788170f0df8f624d831c`