Low-ionization Metal Absorption at $0.7 \lesssim z \lesssim 2$ Confronting Cosmological Simulations with Observations
Ivan Rapoport, Ehud Behar, Vincent Desjacques

TL;DR
This study compares observed low-ionization metal absorption lines in quasar spectra with predictions from the IllustrisTNG simulation, assessing how well current models reproduce the circumgalactic and intergalactic medium absorption features.
Contribution
It introduces a framework for comparing simulated and observed metal-line absorption, evaluating the effectiveness of different ionization models in reproducing observed data.
Findings
Simulations broadly match observed column density PDFs across a wide range.
UV background inclusion accurately predicts MgII incidence for low EW systems.
High EW MgII systems are underestimated by the simulation at higher redshifts.
Abstract
Low-ionization metal absorption lines provide a primary probe of cool gas in and around galaxies. We confront observations of metal-line absorption in quasar spectra with predictions from the IllustrisTNG cosmological simulation in order to benchmark how well current galaxy formation models reproduce the observed circumgalactic medium (CGM) and intergalactic medium (IGM) absorption signatures. We implement two ionization prescriptions: a purely collisional model and a model including photo-ionization by a uniform ultraviolet background (UVB). Using a grid-based framework, we compute MgI, MgII and FeII column densities and construct column density probability distribution functions (PDFs) and equivalent width (EW) statistics for comparison with observations. The observational samples considered here are based on the High Resolution Echelle Spectrometer (HIRES), the Ultraviolet and Visual…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
