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Software to rapidly and flexibly analyse Pulsar Timing Array data via factorised likelihood methods (Lamb et al. 2023)
Pronounced /ˈkɛfɨ̞l/ ('keff-ill'), meaning 'horse' in Cymraeg/Welsh 🏴🐎
A software package to rapidly and flexibly analyse pulsar timing array (PTA) data via refiting to pulsar timing free spectra.
This can be done by fitting to a free spectrum of the entire PTA or individual pulsars!
It is highly recommended that you install enterprise-pulsar first via conda-forge before installing ceffyl
To install via `pip'
conda create -n new_env python=3.10
conda activate <new_env>
pip install ceffyl
pip install --no-deps enterprise-pulsar
To install via Anaconda:
conda create -n <new_env> python enterprise-pulsar
conda activate <new_env>
conda install -c conda-forge ceffyl
Then update to the latest version using github and pip!
This is because we use enterprise as a dependency. Enterprise requires tempo2. Tempo2 is notoriously difficult to install directly... We plan to remove this dependency in a future update.
Download representations of PTA data to accurately fit spectral models with ceffyl!
Do you have your own free spectrum posteriors that you want to work in ceffyl? Learn about making your own KDE posteriors here
@article{lamb2023rapid,
title={Rapid refitting techniques for Bayesian spectral characterization of the gravitational wave background using pulsar timing arrays},
author={Lamb, William G and Taylor, Stephen R and van Haasteren, Rutger},
journal={Physical Review D},
volume={108},
number={10},
pages={103019},
year={2023},
publisher={APS}
}
FAQs
Software to rapidly and flexibly analyse Pulsar Timing Array data via factorised likelihood methods (Lamb et al. 2023)
We found that ceffyl demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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