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Fast & scalable MCMC for all your exoplanet needs!
Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker
Flexible photometric transit curves with limb darkening
Exoplanet exploration using machine learning
👾 𝗱𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻 𝗼𝗳 𝗲𝘅𝗼𝗹𝗶𝗳𝗲 𝗶𝘀 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗺𝗼𝘀𝘁 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗴𝗼𝗮𝗹𝘀 𝗳𝗼𝗿 𝗳𝘂𝘁𝘂𝗿𝗲 𝘀𝗽𝗮𝗰𝗲 𝗺𝗶𝘀𝘀𝗶𝗼𝗻𝘀 - 𝗶𝗺𝗮𝗴𝗲𝘀 𝘁𝗮𝗸𝗲𝗻 𝗳𝗿𝗼𝗺 𝘁𝗵𝗲 𝗺𝗼𝗼𝗻 𝗮𝘁 𝘁𝗵𝗲 𝗠𝘁. 𝗦𝘁𝗼𝗻𝘆 𝗕𝗿𝗼𝗼𝗸
An Interactive data visualization of Exoplanets
Python code to generate an SVG showing planetary systems
Planet Hunters TESS Lightcurve viewer
GitHub Pages website
Predicting potential exoplanets in star systems using light intensity curves data derived from observations made by the NASA Kepler space telescope.
New crossplattform version of Exoplanethunter build in React Native
Algoritmos para o tratamento de curvas de luz, treinamento e utilização de modelos de Machine Learning para a detecção automatizada de exoplanetas.
Exoplanet Transit Detection using Deep Neural Networks written in Python
A toy project for coronagraphs
This project seeks to simulate the atmospheric and surfacic temperature maps that would occur on exoplanets. We plan on taking into account the type of star and the orbit's profile as well as seasonal shift from axial tilt and what would happen on tidally locked planets.
Color Classification of Extrasolar Giant Planets
Python 3 wrapper for Exo-Transmit
Variable Star PhasE Curve: A Python tool that uses the NASA Planetary Spectrum Generator (PSG) and a variable star model to simulate observations of exoplanets.
Exoplanet exploration using SVM with different kernels and C values. Dataset can be downloaded from Kaggle website: https://www.kaggle.com/keplersmachines/kepler-labelled-time-series-data
Spitzer exoplanet time series observations Gaussian kernel regression for intrapixel effects (KRData)
The Exoplanet API is a robust and efficient Node.js-based web service designed to provide comprehensive information about exoplanets. This API allows astronomers, researchers, and enthusiasts to access a wealth of data about exoplanets beyond our solar system.
16. Exoplanet Exploration - Machine Learning Challenge
Machine Learning solution for Exoplanet Detection
Applied different models of machine learning (SVM, Logistic Regression, Deep Learning) to classify whether an object is an exoplanet.
This is a set of tests used to analyse data from NASA.
Exoplanet transit ephemeris generator
Data Analysis of NASA's Kepler mission for exoplanet exploration using Machine Leaning models and Pandas