pytransit

Fast and easy exoplanet transit light curve modelling.

https://github.com/hpparvi/pytransit

Science Score: 67.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 3 DOI reference(s) in README
  • Academic publication links
    Links to: arxiv.org, zenodo.org
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.3%) to scientific vocabulary

Keywords

astronomy astrophysics exoplanet exoplanets light-curve-models python transit-model transiting-exoplanets
Last synced: 6 months ago · JSON representation ·

Repository

Fast and easy exoplanet transit light curve modelling.

Basic Info
  • Host: GitHub
  • Owner: hpparvi
  • License: gpl-2.0
  • Language: Jupyter Notebook
  • Default Branch: master
  • Homepage:
  • Size: 37.9 MB
Statistics
  • Stars: 106
  • Watchers: 4
  • Forks: 23
  • Open Issues: 6
  • Releases: 24
Topics
astronomy astrophysics exoplanet exoplanets light-curve-models python transit-model transiting-exoplanets
Created about 13 years ago · Last pushed 7 months ago
Metadata Files
Readme Changelog License Code of conduct Citation

README.md

PyTransit

Licence MNRAS arXiv ASCL DOI

PyTransit: fast and versatile exoplanet transit light curve modelling in Python. PyTransit provides a set of optimised transit models with a unified API that makes modelling complex sets of heterogeneous light curve (nearly) as easy as modelling individual transit light curves. The models are optimised with Numba which allows for model evaluation speeds paralleling Fortran and C-implementations but with hassle-free platform-independent multithreading.

The package has been under continuous development since 2009, and is described in Parviainen (2015), Parviainen (2020a), and Parviainen & Korth (2020b).

```Python from pytransit import RoadRunnerModel

tm = RoadRunnerModel('quadratic') tm.set_data(times)

tm.evaluate(k=0.1, ldc=[0.2, 0.1], t0=0.0, p=1.0, a=3.0, i=0.5*pi)

tm.evaluate(k=[0.10, 0.12], ldc=[[0.2, 0.1], [0.5, 0.1]], t0=0.0, p=1.0, a=3.0, i=0.5*pi)

tm.evaluate(k=[[0.10, 0.12], [0.11, 0.13]], ldc=[[0.2, 0.1], [0.5, 0.1],[0.4, 0.2, 0.75, 0.1]], t0=[0.0, 0.01], p=[1, 1], a=[3.0, 2.9], i=[.5pi, .5pi]) ```

Examples and tutorials

EMAC Workshop introduction video

EMAC Workshop PyTransit introduction video

RoadRunner transit model

RoadRunner (Parviainen, 2020a) is a fast exoplanet transit model that can use any radially symmetric function to model stellar limb darkening while still being faster to evaluate than the analytical transit model for quadratic limb darkening.

  • RRModel example 1 shows how to use RoadRunner with the included limb darkening models.
  • RRModel example 2 shows how to use RoadRunner with your own limb darkening model.
  • RRModel example 3 shows how to use an LDTk-based limb darkening model LDTkM with RoadRunner.

Transmission spectroscopy transit model

Transmission spectroscopy transit model (TSModel) is a special version of the RoadRunner model dedicated to modelling transmission spectrum light curves.

Documentation

Read the docs at pytransit.readthedocs.io.

Installation

PyPI

The easiest way to install PyTransit is by using pip

pip install pytransit

GitHub

Clone the repository from github and do the normal python package installation

git clone https://github.com/hpparvi/PyTransit.git
cd PyTransit
pip install .

Citing

If you use PyTransit in your reserach, please cite

Parviainen, H. MNRAS 450, 3233–3238 (2015) (DOI:10.1093/mnras/stv894).

or use this ready-made BibTeX entry

@article{Parviainen2015,
  author = {Parviainen, Hannu},
  doi = {10.1093/mnras/stv894},
  journal = {MNRAS},
  number = {April},
  pages = {3233--3238},
  title = {{PYTRANSIT: fast and easy exoplanet transit modelling in PYTHON}},
  url = {http://mnras.oxfordjournals.org/cgi/doi/10.1093/mnras/stv894},
  volume = {450},
  year = {2015}
}

Author

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.

Citation (CITATIONS.bib)

@article{Parviainen2015,
	title = {{PYTRANSIT}: {Fast} and easy exoplanet transit modelling in {PYTHON}},
	volume = {450},
	url = {https://academic.oup.com/mnras/article/450/3/3233/1074637},
	doi = {10.1093/mnras/stv894},
	number = {3},
	journal = {Monthly Notices of the Royal Astronomical Society},
	author = {Parviainen, Hannu},
	month = jul,
	year = {2015},
	pages = {3233--3238}
}

@article{Parviainen2020a,
	title = {Going back to basics: accelerating exoplanet transit modelling using {Taylor}-series expansion of the orbital motion},
	volume = {499},
	number = {3},
	url = {https://academic.oup.com/mnras/article/499/3/3356/5911608},
	doi = {10.1093/mnras/staa2953},
	journal = {Monthly Notices of the Royal Astronomical Society},
	author = {Parviainen, Hannu and Korth, Judith},
	month = sep,
	year = {2020},
}

@article{Parviainen2020b,
	title = {{RoadRunner}: a fast and flexible exoplanet transit model},
	volume = {499},
	url = {https://academic.oup.com/mnras/article/499/2/1633/5911588},
	doi = {10.1093/mnras/staa2901},
	number = {2},
	journal = {Monthly Notices of the Royal Astronomical Society},
	author = {Parviainen, Hannu},
	month = oct,
	year = {2020},
	pages = {1633--1639}
}

GitHub Events

Total
  • Create event: 2
  • Release event: 2
  • Issues event: 3
  • Watch event: 8
  • Issue comment event: 1
  • Push event: 8
  • Fork event: 1
Last Year
  • Create event: 2
  • Release event: 2
  • Issues event: 3
  • Watch event: 8
  • Issue comment event: 1
  • Push event: 8
  • Fork event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 745
  • Total Committers: 4
  • Avg Commits per committer: 186.25
  • Development Distribution Score (DDS): 0.458
Past Year
  • Commits: 21
  • Committers: 2
  • Avg Commits per committer: 10.5
  • Development Distribution Score (DDS): 0.143
Top Committers
Name Email Commits
Hannu Parviainen h****u@i****s 404
Hannu Parviainen h****i@g****m 339
Luca Borsato b****a@g****m 1
Shashank Dholakia s****1@g****m 1
Committer Domains (Top 20 + Academic)
iac.es: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 18
  • Total pull requests: 88
  • Average time to close issues: 9 days
  • Average time to close pull requests: 5 months
  • Total issue authors: 14
  • Total pull request authors: 2
  • Average comments per issue: 2.11
  • Average comments per pull request: 1.23
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 87
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: 3 days
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.5
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • jvines (2)
  • jabienias (2)
  • delinea (2)
  • mhooton (2)
  • JosephKarpinski (1)
  • asmasca (1)
  • n1md4 (1)
  • mileslucas (1)
  • TakuNishiumi (1)
  • sylviankahane (1)
  • simonehagey (1)
  • LucaMalavolta (1)
  • shashankdholakia (1)
  • gaetanoscandariato (1)
Pull Request Authors
  • dependabot-preview[bot] (98)
  • hpparvi (1)
Top Labels
Issue Labels
Pull Request Labels
dependencies (98)

Packages

  • Total packages: 3
  • Total downloads:
    • pypi 750 last-month
  • Total dependent packages: 4
    (may contain duplicates)
  • Total dependent repositories: 5
    (may contain duplicates)
  • Total versions: 101
  • Total maintainers: 1
proxy.golang.org: github.com/hpparvi/pytransit
  • Versions: 24
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.5%
Dependent repos count: 5.7%
Last synced: 6 months ago
proxy.golang.org: github.com/hpparvi/PyTransit
  • Versions: 24
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent packages count: 5.4%
Average: 5.5%
Dependent repos count: 5.7%
Last synced: 6 months ago
pypi.org: pytransit

Fast and painless exoplanet transit light curve modelling.

  • Versions: 53
  • Dependent Packages: 4
  • Dependent Repositories: 5
  • Downloads: 750 Last month
Rankings
Dependent packages count: 1.9%
Dependent repos count: 6.6%
Average: 6.7%
Stargazers count: 7.4%
Forks count: 8.1%
Downloads: 9.4%
Maintainers (1)
Last synced: 6 months ago

Dependencies

requirements.txt pypi
  • arviz *
  • astropy *
  • celerite *
  • corner *
  • deprecated *
  • emcee *
  • ldtk *
  • matplotlib *
  • numba *
  • numpy *
  • pandas *
  • pyopencl *
  • pyrr *
  • scipy *
  • seaborn *
  • semantic_version *
  • setuptools *
  • tables *
  • tqdm *
  • uncertainties *
  • xarray *
setup.py pypi
  • numpy *