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We present a revised version of our automated technique using Gaussianprocesses (GPs) to detect Damped Lyman-$\alpha$ absorbers (DLAs) along quasar(QSO) sightlines. The main improvement is to allow our Gaussian processpipeline to detect multiple DLAs along a single sightline. Our DLA detectionsare regularised by an improved model for the absorption from the Lyman-$\alpha$forest which improves performance at high redshift. We also introduce a modelfor unresolved sub-DLAs which reduces mis-classifications of absorbers withoutdetectable damping wings. We compare our results to those of two differentlarge-scale DLA catalogues and provide a catalogue of the processed results ofour Gaussian process pipeline using 158 825 Lyman-$\alpha$ spectra from SDSSdata release 12. We present updated estimates for the statistical properties ofDLAs, including the column density distribution function (CDDF), line density($dN/dX$), and neutral hydrogen density ($\Omega_{\textrm{DLA}}$).

Detecting Multiple DLAs per Spectrum in SDSS DR12 with Gaussian Processes