Generative and Interpretable Deep Learning for Stellar Spectra
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Updated
Jan 19, 2021 - Jupyter Notebook
Generative and Interpretable Deep Learning for Stellar Spectra
Approximate forward models of fluxes and spectra time-series of non-uniform stars
3D Binaural Stellar Spectra Sonification prototype
Catalog of X-ray Detected Be Stars
Code of the final project for the course "Foundations of Data Science" from the Master's at University of Hertfordshire. Analysis of Stellar Spectra with Lorentz+linear model and Random Forest classifications. Data is not included, use the provided query to access the RAVE data directly from the website.
This repository contains the code I created to calculate the intensity of Near Infrared and X-ray light that should be observed from the first population of stars.
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