Core library to analyze gravitational-wave data, find signals, and study their parameters.
Project description
PyCBC is a software package used to explore astrophysical sources of gravitational waves. It contains algorithms to analyze gravitational-wave data from the LIGO and Virgo detectors, detect coalescing compact binaries, and measure the astrophysical parameters of detected sources. PyCBC was used in the first direct detection of gravitational waves and is used in the flagship analysis of LIGO and Virgo data.
PyCBC is developed collaboratively and lead by a team of LIGO scientists with the aim to build accessible tools for gravitational-wave data analysis. One of the easiest ways to get a full software environment is by downloading one of our docker images.
Some interactive examples using portions of the PyCBC library are also hosted as jupyter notebooks on Microsoft Azure. Feel free to give them a try. You can also explore the full documentation pages or the source code on GitHub.
If you use PyCBC in scientific publications, please see our citation guidelines.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file PyCBC-1.16.9.tar.gz.
File metadata
- Download URL: PyCBC-1.16.9.tar.gz
- Upload date:
- Size: 16.7 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.6.0 requests-toolbelt/0.9.1 tqdm/4.48.2 CPython/3.6.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 08c00dac500906897f28586f85b7e114e9d98e0578ea90051bbc264c4c35883b |
|
| MD5 | 86224f48672c43099192fefac5b65b32 |
|
| BLAKE2b-256 | bec2fb5207452b4b5f8d6ad42b5f1aa13b9e5fe999ec0865140161c4d22775ff |
