Damped Lyman-α absorbers from Sloan digital sky survey DR16Q with Gaussian processes

We present a new catalogue of Damped Lyman-alpha absorbers from SDSS DR16Q, as well as new estimates of their statistical properties. Our estimates are computed with the Gaussian process models presented in Garnett et al., Ho, Bird & Garnett with an improved model for marginalizing uncertainty in the mean optical depth of each quasar. We compute the column density distribution function (CDDF) at 2 < z < 5, the line density (dN/dX), and the neutral hydrogen density (Omega(DLA)). Our Gaussian process model provides a posterior probability distribution of the number of DLAs per spectrum, thus allowing unbiased probabilistic predictions of the statistics of DLA populations even with the noisiest data. We measure a non-zero column density distribution function for N-HI < 3 x 10(22) cm(-2) with 95 per cent confidence limits, and N-HI less than or similar to 10(22) cm(-2) for spectra with signal-to-noise ratios >4. Our results for DLA line density and total hydrogen density are consistent with previous measurements. Despite a small bias due to the poorly measured blue edges of the spectra, we demonstrate that our new model can measure the DLA population statistics when the DLA is in the Lyman-beta forest region. We verify our results are not sensitive to the signal-to-noise ratios and redshifts of the background quasars although a residual correlation remains for detections from z(QSO) < 2.5, indicating some residual systematics when applying our models on very short spectra, where the SDSS spectral observing window only covers part of the Lyman-alpha forest.

Automated summary

This study introduces a new catalogue of DLAs, estimates their statistical properties using Gaussian process models, and demonstrates unbiased probabilistic predictions of DLA population statistics even with noisy data. The results are consistent with previous measurements and the new model is shown to be able to measure DLA population statistics even in the Lyman-beta forest region.