applying modern computational data analysis techniques to massive astronomical surveys to understand the processes driving the Milky Way's evolution
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Carnegie Observatories
- Pasadena, CA
- www.laurenanderson.org
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Energy-Forecasting
Energy-Forecasting PublicCompare forecasting models of energy production and needs
Jupyter Notebook 2
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extinctions
extinctions PublicInferring extinctions for millions of stars in the Milky Way galaxy
Jupyter Notebook
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photoParallax
photoParallax Publicdata-driven photometric parallaxes, built with Gaia and 2MASS
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LyA-InvertPhase
LyA-InvertPhase PublicA method to reduce unwanted sample variance when predicting Lya forest power spectra, which converges 30x faster enabling tractable inference of cosmological parameters
Jupyter Notebook
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AstroHackWeek/AstroHackWeek2020
AstroHackWeek/AstroHackWeek2020 Publicrepo for materials for AstroHackWeek 2020
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NbodyPythonTools
NbodyPythonTools PublicTools to analyze and explore large astronomical simulations of galaxy formation
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