A Julia package for fast exoplanet modeling
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Updated
Mar 15, 2017 - Jupyter Notebook
A Julia package for fast exoplanet modeling
Ground-based transmission spectroscopy of WASP-80b
Fit noisy exoplanet photometry using Gaussian Processes
A Machine Learning Approach to Exoplanet Detection
Handy, function wrapper for JWST PandExo simulator
Kepler jump and systematics correction using Variational Bayes and shrinkage priors.
A general photodynamical code for exoplanet light curves
Python 3 wrapper for Exo-Transmit
Maps a light curve to a transit shape.
Prediction of a star light curve behaviour with a neural network
TTV analysis of Gl 357b (TOI 562.01)
De-trending of K2 Light curves
A community tool for transiting exoplanet science with JWST & HST
Code for planetary systems numerical analysis
Senior Honours Telescope Group Project: Deriving Planetary Properties of Exoplanet WASP-2b
Analyzed the lightcurve of the star TIC-239332587 and discovered dips in brightness that indicate a planet, which to my knowledge is not listed in any Exoplanet archive.
K2 systematics correction using Gaussian processes
Installation bundles for EXOTIC (https://github.com/rzellem/EXOTIC)
Using machine learning method to search exoplanets in Kepler mission.
This repository contains submission for the intra-college astronomy hackathon
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