From scientific measurements to usable results.
Software, data analysis and research tools. Each project brings together the methods, code and skills used to develop it.
RUNA is a command-line machine-learning application: enter two brightness measurements (G and J) to estimate a cool star's spectral subtype. The project compares a simple regression model with a random forest on held-out stars; the current two-input prediction uses the simpler model.
Turns telescope spectra into estimates of a star's temperature and chemical composition. The Python workflow prepares the measurements, flags results that need review, and checks them against well-studied reference stars. Telescope data must be supplied separately.
Cross-checks astronomical data to identify stars with companions, then produces a table and figures for 22 systems. The publication reports 11 newly identified systems. The workflow demonstrates how to combine, validate and communicate results from multiple data sources.
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Find an object in selected published VizieR catalogues.