Gravitational-wave Detector Characterisation
GWDetChar is a python package for for gravitational-wave detector characterisation and data quality.
https://gwdetchar.readthedocs.io
Installation
GWDetChar is best installed with conda:
conda install -c conda-forge gwdetchar
but can also be installed with pip:
python -m pip install gwdetchar
Contributing
All code should follow the Python Style Guide outlined in PEP 0008; users can use the flake8 package to check their code for style issues before submitting.
See the contributions guide for the recommended procedure for proposing additions/changes.
Release files for gwdetchar 2.4.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| gwdetchar-2.4.0.tar.gz | 158.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| gwdetchar-2.4.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 355.1 kB
Release files / gwdetchar-2.4.0.tar.gz
| Download URL | gwdetchar-2.4.0.tar.gz |
|---|---|
| Size | 158.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
565408d7bdd2c49738afafef22b9833632e424e77e779e548b34d1069d473635
|
|
BLAKE2b-256 checksum How to use checksums |
f923262629ce38161da040ecfe9f9e710864937b427b9e5ca7ec4bf9601bc22d
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
|
Release files / gwdetchar-2.4.0-py3-none-any.whl
| Download URL | gwdetchar-2.4.0-py3-none-any.whl |
|---|---|
| Size | 197.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
796bbab817934438447f0ccbef41db97a6bae051b41bb4dbd3d075353d33c732
|
|
BLAKE2b-256 checksum How to use checksums |
b5da143a34387378aefba1c743d20d0dd61e215f39aac03276a1837693102f5f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.13.15
|