A collection of Machine Learning models that detect if a star system contains exoplanets.
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Updated
Mar 5, 2022 - Jupyter Notebook
A collection of Machine Learning models that detect if a star system contains exoplanets.
Used Python 3.9, used packageUsed NASA’s MAST Archive for Space Telescopes data to provide the AI with accurate results to determine if the planet is an exoplanet.
Mass characterisation of Detached Eclipsing Binary Stars.
MSc thesis project — Ensemble ML (CNN + K-NN + Random Forest) to detect exoplanets from Kepler, K2 & TESS stellar light curves. Python · TensorFlow · Scikit-learn.
We pointed a laptop at NASA's TESS data and found 197 exoplanet transit candidates. Rust-powered BLS detection, 10-50x faster than Python.
Python Example Code to use the lightkurve lib to analyse variable stars
Multi-sector TESS SPOC PDCSAP photometry analysis of ANJ-V001 (EA eclipsing binary): Lomb–Scargle period, epoch (Min I), amplitude, and VSX submission artifacts.
My personal codes using Lightkurve package to download, treating and analysis TESS light curves
Python script to detect planets using the transit method
Análisis astrofísico de sistemas planetarios reales usando Python, curvas de luz de Kepler y modelos keplerianos. Proyecto académico de Física del Universo (ITAM, 2025).
An autonomous multi-agent CrewAI system that hunts for exoplanets in raw NASA telescope data using real astrophysics and rigorous signal processing.
This repository contains submission for the intra-college astronomy hackathon
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