Python package for conveniently plotting results from pulsar timing array bayesian analyses.
Project description
La Forge
Pulsar Timing Array Bayesian Data Visualization
Graphic Credit: Stewart Vernon, via Deviant Art
Python package for conveniently plotting results from pulsar timing array bayesian analyses. Many of the functions are best used with enterprise outputs.
Not yet available on PyPI, please use
pip install git+https://github.com/Hazboun6/la_forge@masterto install or run the setup.py script once cloned to your pc.
Free software: MIT license
Documentation: https://la-forge.readthedocs.io.
Example code
from la_forge import rednoise
from la_forge.core import Core
from la_forge import utils
normal_ul_dir = '../BF_standard/DE436/'
free_spec_ul_dir = '../BF_free_spec/DE436/'
a = Core('plaw',chaindir=normal_ul_dir)
b = Core('free_spec',chaindir=free_spec_ul_dir)
tspan = 11.4*365.25*24*3600
a.set_rn_freqs(Tspan=tspan)
b.set_rn_freqs(Tspan=tspan)
compare = [a,b]
plot_filename = './noise_model_plots.png'
Colors = ['blue','red']
Labels = ['PTA PLaw', 'PTA Free Spec']
rednoise.plot_rednoise_spectrum(pulsar=psr, cores=compare, chaindir=chaindir,
show_figure=True, rn_type='', verbose=False,
Tspan=tspan, Colors=Colors, n_plaw_realizations=100,
labels=Labels, plotpath=plot_filename)Features
TODO
Credits
This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.
History
0.4.0 (2021-09-24) Added CI testing suite and cleaned up functions. 0.3.0 (2020-10-28) New docs. 0.2.0 (2020-02-13) Cleaned up various functionality and added more docs. 0.1.0 (2018-09-21)* ——————
First release on PyPI.
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