https://github.com/oscaribv/pyaneti
A multi-planet Radial Velocity and Transit modelling software
https://github.com/oscaribv/pyaneti
exoplanets mcmc multi-planet-fitting planets radial-velocities transiting-planets
Last synced: over 1 year ago
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A multi-planet Radial Velocity and Transit modelling software
- Host: GitHub
- URL: https://github.com/oscaribv/pyaneti
- Owner: oscaribv
- License: gpl-3.0
- Created: 2017-02-10T15:41:49.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2025-03-28T16:23:05.000Z (over 1 year ago)
- Last Synced: 2025-03-28T17:40:41.170Z (over 1 year ago)
- Topics: exoplanets, mcmc, multi-planet-fitting, planets, radial-velocities, transiting-planets
- Language: Jupyter Notebook
- Homepage:
- Size: 9.23 MB
- Stars: 44
- Watchers: 6
- Forks: 13
- Open Issues: 8
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- awesome-astronomy - pyaneti - A multi-planet Radial Velocity and Transit fit software (Uncategorized / Uncategorized)
README
# __pyaneti__*
*From the Italian word _pianeti_, which means planets
#### email: oscar.barragan_at_physics.ox.ac.uk
#### Updated November 2021
## Paper I
### Written by Barragán O., Gandolfi D. & Antoniciello G.
## Paper II
### Written by Barragán O., Aigrain S., Rajpaul V. M., & Zicher N.
#### Brief description on pyaneti:
* The code runs in _python 3_.
* Transit fits for single transits.
* Multi-band fits.
* Gaussian Process (GP) and multidimensional GP regressions.
* Multiple independent Markov chains to sample the parameter space.
* Easy-to-use: it runs by providing only one input_fit.py file.
* Parallel computing with OpenMP.
* Automatic creation of posteriors, correlations, and ready-to-publish plots.
* Circular and eccentric orbits.
* Multi-planet fitting.
* Inclusion of RV and photometry jitter.
* Systemic velocities for multiple instruments.
* Stellar limb darkening [(Mandel & Agol, 2002)](http://iopscience.iop.org/article/10.1086/345520/meta#artAbst).
* Correct treatment of short and long cadence data ([Kipping, 2010](http://mnras.oxfordjournals.org/content/408/3/1758)).
* Joint RV + transit fitting.
If you want to see the cool stuff that pyaneti can do check
[these papers](https://ui.adsabs.harvard.edu/search/fq=database%3A%20astronomy&fq=%7B!type%3Daqp%20v%3D%24fq_database%7D&fq_database=database%3A%20astronomy&p_=0&q=%20full%3A%22pyaneti%22&sort=date%20desc%2C%20bibcode%20desc).
#### Check pyaneti [wiki](https://github.com/oscaribv/pyaneti/wiki) to learn how to use it
### Citing
If you use pyaneti in your research, please cite it as
```
Barragán, O., Gandolfi, D., & Antoniciello, G., 2019, MNRAS, 482, 1017
```
you can use this bibTeX entry
```
@ARTICLE{pyaneti,
author = {Barrag\'an, O. and Gandolfi, D. and Antoniciello, G.},
title = "{PYANETI: a fast and powerful software suite for multiplanet radial
velocity and transit fitting}",
journal = {\mnras},
keywords = {methods: numerical, techniques: photometric, techniques: spectroscopic,
planets and satellites: general, Astrophysics - Earth and
Planetary Astrophysics, Astrophysics - Instrumentation and
Methods for Astrophysics, Physics - Data Analysis, Statistics
and Probability},
year = 2019,
month = Jan,
volume = {482},
pages = {1017-1030},
doi = {10.1093/mnras/sty2472},
primaryClass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/#abs/2019MNRAS.482.1017B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```
If you also use the new routines of pyaneti (multi-band modelling, single transit modelling, or Gaussian Process regression), please cite also this paper
```
Barragán, O., Aigrain, S., Rajpaul, V. M., & Zicher, N., 2022, MNRAS. 509, 866
```
you can use this bibTeX entry
```
@ARTICLE{pyaneti2,
author = {{Barrag{\'a}n}, Oscar and {Aigrain}, Suzanne and {Rajpaul}, Vinesh M. and {Zicher}, Norbert},
title = "{PYANETI - II. A multidimensional Gaussian process approach to analysing spectroscopic time-series}",
journal = {\mnras},
keywords = {methods: numerical, techniques: photometry, techniques: spectroscopy, planets and satellites: general, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
year = 2022,
month = jan,
volume = {509},
number = {1},
pages = {866-883},
doi = {10.1093/mnras/stab2889},
archivePrefix = {arXiv},
eprint = {2109.14086},
primaryClass = {astro-ph.EP},
adsurl = {https://ui.adsabs.harvard.edu/abs/2022MNRAS.509..866B},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}
```
**If you have any comments, requests, suggestions or just need any help, please don't think twice, just contact us!**
#### Warning: This code is under developement and it may contain bugs. If you find something please contact us at oscar.barragan_at_physics.ox.ac.uk
## Acknowledgements
* Hannu Parviainen, thank you for helping us to interpret the first result of the PDF of the MCMC chains. We learned a lot from you!
* Salvador Curiel, thank you for suggestions to parallelize the code.
* Mabel Valerdi, thank you for being the first _pyaneti_ user, for spotting typos and errors in this document. And thank you much for the awesome idea for pyaneti's logo.
* Lauren Flor, thank you for testing the code before release.
* Jorge Prieto-Arranz, thank you for all the suggestions which have helped to improve the code.
**THANKS A LOT!**