Zi-Han Qian

A Comparative Study of Machine-Learning Methods for Early Classification from Sparse Astronomical Light Curves

The booming data volume of modern time-domain surveys demands fast, robust early classification of sparsely sampled light curves, as newly discovered transients typically have only a handful of observations. We compare classifiers for extremely sparse light curves (3–30 observations) on a benchmark of approximately 1.7...