114 citations · 823 across the 30 of their papers we have counts for
Showing 2023 · astro-ph.GAShow all
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astro-ph.GA2023
VarIabiLity seLection of AstrophysIcal sources iN PTF (VILLAIN) II. Supervised classification of variable sources
S. H. Bruun, J. Hjorth, A. Agnello
Context. Large, high-dimensional astronomical surveys require efficient data analysis. Automatic fitting of lightcurve variability and machine learning may assist in identification…
astro-ph.GA2023
VarIabiLity seLection of AstrophysIcal sources iN PTF (VILLAIN) I. Structure function fits to 71 million objects
S. H. Bruun, A. Agnello, J. Hjorth
Context. Lightcurve variability is well-suited for characterising objects in surveys with high cadence and long baseline. This is especially relevant in view of the large datasets…