This repository contains my solutions to the course Data-driven Astronomy offered by The University of Sydney on Coursera
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Updated
Jan 28, 2021 - Python
This repository contains my solutions to the course Data-driven Astronomy offered by The University of Sydney on Coursera
Tools for modelling exoplanet spectra
Analysis of Kepler Objects of Interest using Machine Learning for Exoplanet Identification.
Bayesian mass-radius relation for small planets.
Predicting potential exoplanets in star systems using light intensity curves data derived from observations made by the NASA Kepler space telescope.
Statistical tools for Combined Analysis of Radial Velocity Signals
This repo contains the code I used to study the habitability index ESI and SEPHI for 3 exoplanets.
Evaluating candidate exoplanets using machine learning algorithms.
Senior Honours Telescope Group Project: Deriving Planetary Properties of Exoplanet WASP-2b
The Exoplanet Predictor Version 1.0 - Predict the number of planets of a system based on the stellar characteristics. The usage of this tool is through the command line (CMD).
In this project, I explore a dataset of exoplanets, planets outside our solar system, aiming to extract insights using data analysis techniques. The dataset contains information on 1013 exoplanets and their properties, including mass, radius, orbital period, orbital radius, and host star characteristics.
Repository for a final Degree Project in Physics. The project is based on simulation, detection, and characterization of exoplanet transits with Kepler space mission.
Analysis and HR diagram reproduction from exoplanet catalogue
Using Starry to map the atmospheres of simulated gas giant objects and Spitzer observed objects
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