{"id":13544483,"url":"https://github.com/oscaribv/pyaneti","last_synced_at":"2025-04-02T14:31:15.339Z","repository":{"id":42680977,"uuid":"81579517","full_name":"oscaribv/pyaneti","owner":"oscaribv","description":"A multi-planet Radial Velocity and Transit modelling software","archived":false,"fork":false,"pushed_at":"2025-03-28T16:23:05.000Z","size":9680,"stargazers_count":44,"open_issues_count":8,"forks_count":13,"subscribers_count":6,"default_branch":"master","last_synced_at":"2025-03-28T17:40:41.170Z","etag":null,"topics":["exoplanets","mcmc","multi-planet-fitting","planets","radial-velocities","transiting-planets"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/oscaribv.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-02-10T15:41:49.000Z","updated_at":"2025-03-28T16:23:09.000Z","dependencies_parsed_at":"2024-09-06T15:21:24.420Z","dependency_job_id":"0abe37b1-f57b-46b1-b2ae-a400dc508b46","html_url":"https://github.com/oscaribv/pyaneti","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscaribv%2Fpyaneti","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscaribv%2Fpyaneti/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscaribv%2Fpyaneti/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/oscaribv%2Fpyaneti/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/oscaribv","download_url":"https://codeload.github.com/oscaribv/pyaneti/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246832231,"owners_count":20841137,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["exoplanets","mcmc","multi-planet-fitting","planets","radial-velocities","transiting-planets"],"created_at":"2024-08-01T11:00:49.922Z","updated_at":"2025-04-02T14:31:10.325Z","avatar_url":"https://github.com/oscaribv.png","language":"Jupyter Notebook","funding_links":[],"categories":["Analysis \u0026 Modeling","Uncategorized"],"sub_categories":["Uncategorized"],"readme":"\u003cp align=\"center\"\u003e\n  \u003cimg width = \"500\" src=\"./src/images/logo_pyaneti.png\"/\u003e\n\u003c/p\u003e\n\n# __pyaneti__*\n*From the Italian word _pianeti_, which means planets\n\n#### email:  oscar.barragan_at_physics.ox.ac.uk\n#### Updated November 2021\n\n## Paper I\n### Written by Barragán O., Gandolfi D. \u0026 Antoniciello G.\n\n\u003ca href=\"https://academic.oup.com/mnras/advance-article/doi/10.1093/mnras/sty2472/5094600\"\u003e\u003cimg src=\"https://img.shields.io/badge/MNRAS-2019,482,1017-blueviolet.svg\" alt=\"MNRAS\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://arxiv.org/abs/1809.04609\"\u003e\u003cimg src=\"https://img.shields.io/badge/arXiv-1809.04609-green.svg\" alt=\"arXiv:1809.04609\" /\u003e\u003c/a\u003e\n\u003ca href=\"http://ascl.net/1707.003\"\u003e\u003cimg src=\"https://img.shields.io/badge/ascl-1707.003-green.svg\" alt=\"ascl:1707.003\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://github.com/oscaribv/pyaneti/wiki\"\u003e\u003cimg src=\"https://img.shields.io/badge/wiki-building-yellow.svg\" alt=\"pyaneti wiki\" /\u003e\u003c/a\u003e\n\n## Paper II\n### Written by Barragán O., Aigrain S., Rajpaul V. M., \u0026 Zicher N.\n\n\u003ca href=\"https://academic.oup.com/mnras/advance-article-abstract/doi/10.1093/mnras/stab2889/6383008\"\u003e\u003cimg src=\"https://img.shields.io/badge/MNRAS-2022, 509, 866-blueviolet.svg\" alt=\"MNRAS\" /\u003e\u003c/a\u003e\n\u003ca href=\"https://arxiv.org/abs/2109.14086\"\u003e\u003cimg src=\"https://img.shields.io/badge/arXiv-2109.140860-green.svg\" alt=\"arXiv:2109.140860\" /\u003e\u003c/a\u003e\n\n\n#### Brief description on pyaneti:\n\n* The code runs in _python 3_.\n* Transit fits for single transits.\n* Multi-band fits.\n* Gaussian Process (GP) and multidimensional GP regressions.\n* Multiple independent Markov chains to sample the parameter space.\n* Easy-to-use: it runs by providing only one input_fit.py file.\n* Parallel computing with OpenMP.\n* Automatic creation of posteriors, correlations, and ready-to-publish plots.\n* Circular and eccentric orbits.\n* Multi-planet fitting.\n* Inclusion of RV and photometry jitter.\n* Systemic velocities for multiple instruments.\n* Stellar limb darkening [(Mandel \u0026 Agol, 2002)](http://iopscience.iop.org/article/10.1086/345520/meta#artAbst).\n* Correct treatment of short and long cadence data ([Kipping, 2010](http://mnras.oxfordjournals.org/content/408/3/1758)).\n* Joint RV + transit fitting.\n\nIf you want to see the cool stuff that pyaneti can do check\n[these papers](https://ui.adsabs.harvard.edu/search/fq=database%3A%20astronomy\u0026fq=%7B!type%3Daqp%20v%3D%24fq_database%7D\u0026fq_database=database%3A%20astronomy\u0026p_=0\u0026q=%20full%3A%22pyaneti%22\u0026sort=date%20desc%2C%20bibcode%20desc).\n\n#### Check pyaneti [wiki](https://github.com/oscaribv/pyaneti/wiki) to learn how to use it\n\n### Citing\n\nIf you use pyaneti in your research, please cite it as\n\n```\nBarragán, O., Gandolfi, D., \u0026 Antoniciello, G., 2019, MNRAS, 482, 1017\n```\n\nyou can use this bibTeX entry\n\n```\n@ARTICLE{pyaneti,\n       author = {Barrag\\'an, O. and Gandolfi, D. and Antoniciello, G.},\n        title = \"{PYANETI: a fast and powerful software suite for multiplanet radial\n        velocity and transit fitting}\",\n      journal = {\\mnras},\n     keywords = {methods: numerical, techniques: photometric, techniques: spectroscopic,\n        planets and satellites: general, Astrophysics - Earth and\n        Planetary Astrophysics, Astrophysics - Instrumentation and\n        Methods for Astrophysics, Physics - Data Analysis, Statistics\n        and Probability},\n         year = 2019,\n        month = Jan,\n       volume = {482},\n        pages = {1017-1030},\n          doi = {10.1093/mnras/sty2472},\n primaryClass = {astro-ph.EP},\n       adsurl = {https://ui.adsabs.harvard.edu/#abs/2019MNRAS.482.1017B},\n      adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n}\n```\n\nIf you also use the new routines of pyaneti (multi-band modelling, single transit modelling, or Gaussian Process regression), please cite also this paper\n\n```\nBarragán,  O.,  Aigrain,  S.,  Rajpaul,  V.  M.,  \u0026  Zicher,  N.,  2022, MNRAS. 509, 866\n```\n\nyou can use this bibTeX entry\n\n```\n@ARTICLE{pyaneti2,\n       author = {{Barrag{\\'a}n}, Oscar and {Aigrain}, Suzanne and {Rajpaul}, Vinesh M. and {Zicher}, Norbert},\n        title = \"{PYANETI - II. A multidimensional Gaussian process approach to analysing spectroscopic time-series}\",\n      journal = {\\mnras},\n     keywords = {methods: numerical, techniques: photometry, techniques: spectroscopy, planets and satellites: general, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},\n         year = 2022,\n        month = jan,\n       volume = {509},\n       number = {1},\n        pages = {866-883},\n          doi = {10.1093/mnras/stab2889},\narchivePrefix = {arXiv},\n       eprint = {2109.14086},\n primaryClass = {astro-ph.EP},\n       adsurl = {https://ui.adsabs.harvard.edu/abs/2022MNRAS.509..866B},\n      adsnote = {Provided by the SAO/NASA Astrophysics Data System}\n}\n```\n\n\n**If you have any comments, requests, suggestions or just need any help, please don't think twice, just contact us!**\n\n#### 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\n\n## Acknowledgements\n* 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!\n* Salvador Curiel, thank you for  suggestions to parallelize the code.\n* 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.\n* Lauren Flor, thank you for testing the code before release.\n* Jorge Prieto-Arranz, thank you for all the suggestions which have helped to improve the code.\n\n**THANKS A LOT!**\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foscaribv%2Fpyaneti","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Foscaribv%2Fpyaneti","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Foscaribv%2Fpyaneti/lists"}