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.

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.

A scientific data analysis and computational research focussed on Data Science Applications for Host-aware exoplanet habitability ranking framework using planetary proxies, stellar stability analysis, and UV-informed prioritization under incomplete astronomical data.

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

Transit search for new exoplanet candidates in the freshest public TESS data — BLS + TLS pipeline, honest vetting, real results

Python script to detect planets using the transit method

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

AI pipeline that detects and classifies exoplanet transits in noisy TESS light curves - BLS/TLS search, 15 astrophysical vetting tests, a calibrated transit / eclipsing-binary / blend / other ML ensemble, and Bayesian fitting of period, depth & duration with uncertainties, plus one-page vetting sheets and a 3-page report. (BAH 2026 PS7)

Multi-sector TESS SPOC PDCSAP photometry analysis of ANJ-V001 (EA eclipsing binary): Lomb–Scargle period, epoch (Min I), amplitude, and VSX submission artifacts.

We pointed a laptop at NASA's TESS data and found 197 exoplanet transit candidates. Rust-powered BLS detection, 10-50x faster than Python.

My personal codes using Lightkurve package to download, treating and analysis TESS light curves

Beginner-friendly but real-data exoplanet transit-photometry notebook using TESS, Lightkurve and NASA Exoplanet Archive parameters to recover HD 189733 b transits, measure depth and estimate simple planet-size quantities in Google Colab.

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

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

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.