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spright

Bayesian mass-radius relation for small planets.

https://github.com/hpparvi/spright

Science Score: 49.0%

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    CITATION.cff file
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    Found 8 DOI reference(s) in README
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    Links to: arxiv.org, zenodo.org
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    Low similarity (11.8%) to scientific vocabulary

Keywords

astronomy astrophysics exoplanet-analysis exoplanets
Last synced: 7 months ago · JSON representation

Repository

Bayesian mass-radius relation for small planets.

Basic Info
  • Host: GitHub
  • Owner: hpparvi
  • License: gpl-3.0
  • Language: Jupyter Notebook
  • Default Branch: main
  • Homepage:
  • Size: 146 MB
Statistics
  • Stars: 9
  • Watchers: 1
  • Forks: 2
  • Open Issues: 1
  • Releases: 2
Topics
astronomy astrophysics exoplanet-analysis exoplanets
Created over 3 years ago · Last pushed 10 months ago
Metadata Files
Readme Changelog License Code of conduct Citation

README.md

Spright

MNRAS arXiv DOI Licence Python package PyPI version codecov astropy

Spright (/sprat/; Parviainen, Luque, and Palle, 2023) is a fast Bayesian radius-density-mass relation for small planets. The package allows one to predict planetary masses, densities, and RV semi-amplitudes given the planet's radius or planetary radii given the planet's mass.

The package offers an easy-to-use command line script for people not overly interested in coding and a nearly-as-easy-to-use set of Python classes for those who prefer to code. The command line script can directly create publication-quality plots, and the classes offer a full access to the predicted numerical distributions.

relation_maps

The package contains two relations: one for small planets orbiting M dwarfs (inferred from a updated SPTM catalogue by R. Luque) and another for planets orbiting FGK stars (inferred from a filtered TepCAT catalogue).

Mass prediction

Radius prediction

Installation

pip install spright

Usage

From the command line

spright --predict mass --radius 1.8 0.1 --plot-distribution

Python code

from spright import RMRelation 

rmr = RMRelation()
mds = rmr.predict_mass(radius=(1.8, 0.1))
mds.plot()

Predicted mass

RV semi-amplitude prediction

The radial velocity semi-amplitude can be predicted given the planet's radius, orbital period, orbital eccentricity (optional), and the host star mass.

from spright import RMRelation 

rmr = RMRelation()
mds = rmr.predict_rv_semi_amplitude(radius=(1.8, 0.1), period=2.2, mstar=(0.5, 0.05), eccentricity=0.01)
mds.plot()

Predicted RV semi-amplitude

Here the RMRelation.predict_rv_semi_amplitude method can also be given the planet's orbital eccentricity (ecc), and all the parameters (radius, period, mstar, and eccentricity) can either be floats, ufloats, or two-value tuples where the second value gives the parameter uncertainty.

Calculation of a new radius-density-mass relation

from spright import RMEstimator

rme = RMEstimator(names=names, radii=radii, masses=masses)
rme.optimize()
rme.sample()
rme.compute_maps()
rme.save('map_name.fits')

© 2023 Hannu Parviainen

Owner

  • Name: Hannu Parviainen
  • Login: hpparvi
  • Kind: user
  • Location: La Laguna, Tenerife, Spain
  • Company: Instituto de Astrofísica de Canarias (IAC)

Ramón y Cajal Fellow studying exoplanets in the Instituto de Astrofísica de Canarias.

GitHub Events

Total
  • Watch event: 1
  • Push event: 1
  • Fork event: 2
  • Create event: 1
Last Year
  • Watch event: 1
  • Push event: 1
  • Fork event: 2
  • Create event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 165
  • Total Committers: 2
  • Avg Commits per committer: 82.5
  • Development Distribution Score (DDS): 0.109
Past Year
  • Commits: 127
  • Committers: 2
  • Avg Commits per committer: 63.5
  • Development Distribution Score (DDS): 0.024
Top Committers
Name Email Commits
Hannu Parviainen h****i@g****m 147
Hannu Parviainen h****u@i****s 18
Committer Domains (Top 20 + Academic)
iac.es: 1

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 1
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 1
  • Total pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • hpparvi (1)
Pull Request Authors
Top Labels
Issue Labels
enhancement (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • pypi 237 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 15
  • Total maintainers: 1
pypi.org: spright

Bayesian radius-density-mass relation for small planets.

  • Versions: 15
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 237 Last month
Rankings
Dependent packages count: 7.3%
Downloads: 19.4%
Average: 22.7%
Dependent repos count: 41.4%
Maintainers (1)
hpparvi
Last synced: 8 months ago