Concordance pipeline for multimessenger inference
Project description
Concordance
Draft release of Concordance multimessenger, multiobject framework
Dependencies
We're working on getting these all pip-installable and set up in our requirements, if you strictly need them. Others will be useful important data sources. In the meantime, we recommend you create a virtual environment
python -m venv Concordance_local
source Concordance_local/bin/activate
# for concordance and all dependencies, go to their directories and do this
pip install -e .
-
Sample and GW data retrieval
-
PopModels: https://git.ligo.org/daniel.wysocki/bayesian-parametric-population-models
-
surrogate_kne
-
nal-data: https://gitlab.com:xevra/nal-data.git
Project details
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
ConcordanceMMA-0.1rc1.tar.gz
(27.6 kB
view hashes)