Ly\alpha\ emission line reconstruction for high-$z$ QSOs
Bradley Greig, Andrei Mesinger, Ian D. McGreer, Simona, Gallerani, Zolt\'an Haiman

TL;DR
This paper presents a novel statistical method to reconstruct the intrinsic Ly extalpha\ emission line profiles of high-redshift quasars using a covariance matrix derived from moderate-redshift, high-quality spectra, enabling better analysis of obscured Ly extalpha\ emission.
Contribution
The authors develop a covariance-based reconstruction technique for Ly extalpha\ lines in high-z quasars, improving upon previous methods by leveraging correlations among emission lines.
Findings
Reconstructed Ly extalpha\ flux within 15% of measured flux 85-90% of the time.
Covariance matrix well approximated by an N-dimensional Gaussian distribution.
Method enables Ly extalpha\ profile recovery even when obscured.
Abstract
We introduce an intrinsic Ly\alpha\ emission line profile reconstruction method for high- quasars (QSOs). This approach utilises a covariance matrix of emission line properties obtained from a large, moderate- (), high signal to noise (S/N > 15) sample of BOSS QSOs. For each QSO, we complete a Monte Carlo Markov Chain fitting of the continuum and emission line properties and perform a visual quality assessment to construct a large database of robustly fit spectra. With this dataset, we construct a covariance matrix to describe the correlations between the high ionisation emission lines Ly\alpha, C IV, Si IV + O IV] and C III], and find it to be well approximated by an -dimensional Gaussian distribution. This covariance matrix characterises the correlations between the line width, peak height and velocity offset from systemic while also allowing for the…
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