{"id":27426390,"url":"https://github.com/rndev2017/exoboost","last_synced_at":"2025-04-14T12:39:48.856Z","repository":{"id":35471527,"uuid":"217779616","full_name":"rndev2017/ExoBoost","owner":"rndev2017","description":"Using radial velocity data to identify exoplanet companions","archived":false,"fork":false,"pushed_at":"2023-03-06T14:03:04.000Z","size":22583,"stargazers_count":3,"open_issues_count":9,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2024-01-29T04:39:46.244Z","etag":null,"topics":["ai","astronomy","astrophysics","astropy","boosted-trees","classification","classifier-model","exoplanet-data","exoplanets","machine-learning","ml","nasa","python","radial-velocity-data","science","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/rndev2017.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}},"created_at":"2019-10-26T23:03:09.000Z","updated_at":"2023-03-07T04:14:06.000Z","dependencies_parsed_at":"2023-09-21T16:31:41.591Z","dependency_job_id":null,"html_url":"https://github.com/rndev2017/ExoBoost","commit_stats":{"total_commits":147,"total_committers":4,"mean_commits":36.75,"dds":0.4013605442176871,"last_synced_commit":"6f5514fcadc41e77ab4c07e04667600500d87c6e"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rndev2017%2FExoBoost","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rndev2017%2FExoBoost/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rndev2017%2FExoBoost/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rndev2017%2FExoBoost/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/rndev2017","download_url":"https://codeload.github.com/rndev2017/ExoBoost/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248882928,"owners_count":21177125,"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":["ai","astronomy","astrophysics","astropy","boosted-trees","classification","classifier-model","exoplanet-data","exoplanets","machine-learning","ml","nasa","python","radial-velocity-data","science","xgboost"],"created_at":"2025-04-14T12:39:47.044Z","updated_at":"2025-04-14T12:39:48.847Z","avatar_url":"https://github.com/rndev2017.png","language":"Python","readme":"# ExoBoost\n[![made-with-python](https://img.shields.io/badge/Made%20with-Python-1f425f.svg)](https://www.python.org/)\n[![Maintenance](https://img.shields.io/badge/Maintained%3F-no-red.svg)](https://github.com/rndev2017/ExoBoost/graphs/commit-activity)\n![astropy](http://img.shields.io/badge/powered%20by-AstroPy-orange.svg?style=flat)\n[![nasa](https://img.shields.io/badge/powered%20by-NASA%20Exoplanet%20Archive-blue)](https://exoplanetarchive.ipac.caltech.edu/)\u003cbr\u003e\nUsing existing radial velocity data to identify exoplanet companions with XGBoost \u003cbr\u003e\n\n### Code Author\nRohan S. Nagavardhan: [@rndev2017](https://github.com/rndev2017) \u003cbr\u003e\n\n### Directories\n[src/](https://github.com/rndev2017/ExoBoost/tree/master/src)\n- contains the XGBoost Classifier\n- contains the script used to label my data set\n- contains the `Star` class\n    - plot Radial Velocity Plots\n    - plot phased Radial Velocity Plots\n    - plot periodograms\n    - fit phased radial velocity curves\n\n[plots/](https://github.com/rndev2017/ExoBoost/tree/master/plots)\n- contains images that are relavent to the model\n- contains images that are relavent to the exoplanet data\n\n[sim/](https://github.com/rndev2017/ExoBoost/tree/master/sim)\n- contains code for creating synthetic radial velocity data\n\n[data/](https://github.com/rndev2017/ExoBoost/tree/master/data)\n- contains the data used to train the XGBoost Classifier\n- formatted in `.csv` format\n\n## Dependencies\n- XGBoost ([instructions](https://xgboost.readthedocs.io/en/latest/build.html#python-package-installation))\n- Pandas ([instructions](https://pandas.pydata.org/pandas-docs/stable/install.html))\n- NumPy ([instructions](https://scipy.org/install.html))\n- SciPy ([instructions](https://scipy.org/install.html))\n- Astropy ([instructions](https://www.astropy.org/))\n- Matplotlib ([instructions](https://matplotlib.org/users/installing.html))\n- Scikit-Learn - ([instructions](https://scikit-learn.org/stable/install.html))\n- Seaborn - ([instructions](https://seaborn.pydata.org/installing.html))\n- Astroquery - ([instructions](https://astroquery.readthedocs.io/en/latest/#installation))\n\n# Future Plans\nI have been given the oppurtunity to present this work at [LISEF](https://www.lisef.org/) and various science research fairs in the near future as part of my science research class. Additionally, I am considering submitting this work to a journal for publication. As for the project itself, I will be working on improving the model by creating a simulated dataset to add to the existing dataset of real exoplanet data. Furthermore, I am thinking about using a transfer learning approach by repurposing [AstroNet](https://github.com/google-research/exoplanet-ml) for exoplanet companion identification with radial velocity. Keep following this directory for updates on this project.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frndev2017%2Fexoboost","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frndev2017%2Fexoboost","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frndev2017%2Fexoboost/lists"}