Mapping quasar light echoes in 3D with Ly{\alpha} forest tomography
Abstract
The intense radiation emitted by luminous quasars dramatically alters the ionization state of their surrounding IGM. This so-called proximity effect extends out to tens of Mpc, and manifests as large coherent regions of enhanced Lyman- (Ly) forest transmission in absorption spectra of background sightlines. Here we present a novel method based on Ly forest tomography, which is capable of mapping these quasar `light echoes' in three dimensions. Using a dense grid (10-100) of faint () background galaxies as absorption probes, one can measure the ionization state of the IGM in the vicinity of a foreground quasar, yielding detailed information about the quasar's radiative history and emission geometry. An end-to-end analysis - combining cosmological hydrodynamical simulations post-processed with a quasar emission model, realistic estimates of galaxy number densities, and instrument + telescope throughput - is conducted to explore the feasibility of detecting quasar light echoes. We present a new fully Bayesian statistical method that allows one to reconstruct quasar light echoes from thousands of individual low S/N transmission measurements. Armed with this machinery, we undertake an exhaustive parameter study and show that light echoes can be convincingly detected for luminous ( corresponding to at ) quasars at redshifts , and that a relative precision better than on the quasar age can be achieved for individual objects, for the expected range of ages between 1 Myr and 100 Myr. The observational requirements are relatively modest - moderate resolution () multi object spectroscopy at low is sufficient, requiring three hour integrations using existing instruments on 8m class telescopes.
Cite
@article{arxiv.1810.05156,
title = {Mapping quasar light echoes in 3D with Ly{\alpha} forest tomography},
author = {Tobias M. Schmidt and Joseph F. Hennawi and Khee-Gan Lee and Zarija Lukic and Jose Onorbe and Martin White},
journal= {arXiv preprint arXiv:1810.05156},
year = {2019}
}
Comments
22 pages, 21 figures