lightkurve

A collection of Machine Learning models that detect if a star system contains exoplanets.

Star analyzer using Lightkurve library

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.

Detection of the exoplanet Kepler-10b using the transit method and Kepler light curve data.

An automated exoplanet transit data pipeline built in Python. Locally filters raw Kepler/TESS telescope telemetry using adaptive flattening, discovers exact orbital periods via BLS sweeps, and derives precision physical geometries, signal SNR, and morphology models.

MCP server for TESS planet hunters: Vetstar vetting, MAST light curves, exoplanet & stellar catalogues, ephemerides, and submission-ready RNAAS + Zenodo files

Detecting exoplanets in NASA TESS data with Python: recovering Pi Mensae c and vetting candidate TOI-4597.01

A Python-based astronomy tool that analyzes stellar light curve data to identify potential exoplanet transit events. The project automatically detects brightness dips, estimates transit depth and orbital period, and calculates the approximate radius of the exoplanet using transit photometry techniques.

Python Example Code to use the lightkurve lib to analyse variable stars

Automated TESS Exoplanet Discovery & Vetting Pipeline

A modern, PyQt5-based desktop tool for searching, previewing, and batch downloading TESS (Transiting Exoplanet Survey Satellite) lightcurve data

Delta Observatory worker: TESS light-curve indexing and BLS transit search with Lightkurve and Astropy.

LLM-orchestrated exoplanet transit detection on NASA TESS data — BLS + TLS pipeline running entirely on a Jetson. Zero cloud tokens.

Local MCP server giving AI assistants real astronomical data-reduction tools — FITS inspection, aperture photometry, source detection, light curve fitting, and spectrum extraction, powered by Astropy, Photutils, and Lightkurve.

Independent analysis of NASA TESS photometry to recover and characterize transit signals in the TOI-1470 planetary system using Python and Lightkurve.

Python script to detect planets using the transit method

Exoplanet candidate vetting on real Kepler light curves: phase-folds each KOI with its catalog ephemeris, extracts transit-shape features (U vs V, symmetry, odd-even, secondary eclipse) and classifies confirmed planets vs false positives with a Random Forest.

Reproducible TESS light-curve and transit-photometry analysis of WASP-39b using Python and NASA MAST.

MSc thesis project — Ensemble ML (CNN + K-NN + Random Forest) to detect exoplanets from Kepler, K2 & TESS stellar light curves. Python · TensorFlow · Scikit-learn.