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
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.
Catalog of X-ray Detected Be Stars
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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