The CGM and IGM at z$\sim$5: metal budget and physical connection (1809.05813v1)
Abstract: We present further results of a survey for absorption line systems in the spectra of four high redshift quasars (5.79 $\le$ z${\textrm{em}}$ $\le$ 6.13) obtained with the ESO Very Large Telescope X-Shooter. We identify 36 $\textrm{CIV}$ and 7 $\textrm{SiIV}$ systems with a $\ge$ 5$\sigma$ significance. The highest redshift $\textrm{CIV}$ and $\textrm{SiIV}$ absorbers identified in this work are at z = 5.80738 $\pm$ 0.00017 and z = 5.77495 $\pm$ 0.00038, respectively. We compute the comoving mass density of $\textrm{SiIV}$ ($\Omega{\textrm{SiIV}}$) and find that it evolves from $\Omega_{\textrm{SiIV}}$ = 4.3${+2.1}_{-2.1}$ $\times$10${-9}$ at <z> = 5.05 to $\Omega_{\textrm{SiIV}}$ = 1.4${+0.6}_{-0.4}$ $\times$10${-9}$ at <z> = 5.66. We also measure $\Omega_{\textrm{CIV}}$ = 1.6${+0.4}_{-0.1}$ $\times$10${-8}$ at <z> = 4.77 and $\Omega_{\textrm{CIV}}$ = 3.4${+1.6}_{-1.1}$ $\times$10${-9}$ at <z> = 5.66. We classify our $\textrm{CIV}$ absorber population by the presence of associated $\textit{low}$ and/or $\textit{high ionisation}$ systems and compute their velocity width ($\Delta$v${90}$). We find that all $\textrm{CIV}$ systems with $\Delta$v${90}$ > 200 kms${-1}$ have associated $\textit{low ionisation}$ systems. We investigate two such systems, separated by 550 physical kpc along a line of sight, and find it likely that they are both tracing a multi-phase medium where hot and cold gas is mixing at the interface between the CGM and IGM. We further discuss the \textrm{MgII} systems presented in a previous work and we identify 5 $\textrm{SiII}$, 10 $\textrm{AlII}$, 12 $\textrm{FeII}$, 1 $\textrm{CII}$, 7 $\textrm{MgI}$ and 1 $\textrm{CaII}$ associated transitions. We compute the respective comoving mass densities in the redshift range 2 to 6, as allowed by the wavelength coverage.
Collections
Sign up for free to add this paper to one or more collections.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.