A comparison of quasar emission reconstruction techniques for <i>z</i> ≥ 5.0 Lyman α and Lyman β transmission
Sarah E. I. Bosman, Dominika Ďurovčíková, Frederick B. Davies, Anna–Christina Eilers
Abstract
ABSTRACT Reconstruction techniques for intrinsic quasar continua are crucial for the precision study of Lyman α (Ly α) and Lyman β (Ly β) transmission at z &gt; 5.5, where the λ &lt; 1215 Å emission of quasars is nearly completely absorbed. While the number and quality of spectroscopic observations have become theoretically sufficient to quantify Ly α transmission at 5.0 &lt; z &lt; 6.0 to better than $1{{\ \rm per\ cent}}$, the biases and uncertainties arising from predicting the unabsorbed continuum are not known to the same level. In this paper, we systematically evaluate eight reconstruction techniques on a unified testing sample of 2.7 &lt; z &lt; 3.5 quasars drawn from the Extended Baryon Oscillation Spectroscopic Survey. The methods include power-law extrapolation, stacking of neighbours, and six variants of principal component analysis (PCA) using direct projection, fitting of components, or neural networks to perform weight mapping. We find that power-law reconstructions and the PCA with fewest components and smallest training sample display the largest biases in the Ly α forest (${-}9.58{{\ \rm per\ cent}}/{+}8.22{{\ \rm per\ cent}}$, respectively). Power-law extrapolations have larger scatters than previously assumed of ${+}13.1{{\ \rm per\ cent}}/{-}13.2{{\ \rm per\ cent}}$ over Ly α and ${+}19.9{{\ \rm per\ cent}}/{-}20.1{{\ \rm per\ cent}}$ over Ly β. We present two new PCAs that achieve the best current accuracies of $9{{\ \rm per\ cent}}$ for Ly α and $17{{\ \rm per\ cent}}$ for Ly β. We apply the eight techniques after accounting for wavelength-dependent biases and scatter to a sample of 19 quasars at z &gt; 5.7 with IR X-Shooter spectroscopy, obtaining well-characterized measurements for the mean flux transmission at 4.7 &lt; z &lt; 6.3. Our results demonstrate the importance of testing and, when relevant, training, continuum reconstruction techniques in a systematic way.