2021
DOI: 10.3847/1538-4357/abd033
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Spatial Distribution of O vi Covering Fractions in the Simulated Circumgalactic Medium

Abstract: We use adaptive mesh refinement cosmological simulations to study the spatial distribution and covering fraction of absorption in the circumgalactic medium (CGM) as a function of projected virial radius and azimuthal angle. We compare these simulations to an observed sample of 53 galaxies from the Multiphase Galaxy Halos Survey. Using Mockspec, an absorption-line analysis pipeline, we generate synthetic quasar absorption-line … Show more

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Cited by 6 publications
(8 citation statements)
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“…The ambiguity of the relative location between the gas and the galaxies does not pose a problem for CGM analyses using large volume hydrodynamic simulations, though zoom-in simulations may underestimate the projection effects. Simulations that reproduce the radial profiles of the column density of LIS gas (Ford et al 2016;Oppenheimer et al 2018a) often underestimate the O VI column density around ∼L * galaxies by about a factor of two (e.g., Hummels et al 2013;Oppenheimer et al 2016;Gutcke et al 2017;Suresh et al 2017;Marra et al 2021). This problem could potentially be resolved by fossil AGN proximity zones (Oppenheimer & Schaye 2013;Oppenheimer et al 2018b), black hole feedback (Nelson et al 2018), by including cosmic ray physics (Ji et al 2020), or by changing the model for the UV background (Appleby et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…The ambiguity of the relative location between the gas and the galaxies does not pose a problem for CGM analyses using large volume hydrodynamic simulations, though zoom-in simulations may underestimate the projection effects. Simulations that reproduce the radial profiles of the column density of LIS gas (Ford et al 2016;Oppenheimer et al 2018a) often underestimate the O VI column density around ∼L * galaxies by about a factor of two (e.g., Hummels et al 2013;Oppenheimer et al 2016;Gutcke et al 2017;Suresh et al 2017;Marra et al 2021). This problem could potentially be resolved by fossil AGN proximity zones (Oppenheimer & Schaye 2013;Oppenheimer et al 2018b), black hole feedback (Nelson et al 2018), by including cosmic ray physics (Ji et al 2020), or by changing the model for the UV background (Appleby et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…In particular, single-phase ionisation modelling does not accurately capture the underlying distribution of metallicities and gas physical conditions (see Haislmaier et al 2021;Sameer et al 2021), even if it might capture the mean values (Marra et al 2021b;Sameer et al 2021). We expect that more complex, multi-phase modelling approaches (e.g., Zahedy et al 2019Zahedy et al , 2021Haislmaier et al 2021;Sameer et al 2021Sameer et al , 2022Nielsen et al 2022), will provide an improved characterisation of CGM gas.…”
Section: Discussionmentioning
confidence: 99%
“…to a spatially isolated iso-thermal cloud. Simulations show the absorbing gas structures are far more complex (Churchill et al 2015;Liang et al 2018;Peeples et al 2019;Marra et al 2021b). For example, Churchill et al (2015) found that Mg absorption and the bulk of H absorption arise in "cloud-like" structures that are confined within contiguous gas cells over small spatial scales.…”
Section: Introductionmentioning
confidence: 99%
“…The H code is well suited for studying the low-density CGM (log 𝑛 H /cm −3 < −1) as it gives the best results for optically thin, low density gas. 2 Previous studies (Churchill et al 2012;Kacprzak et al 2012;Churchill et al 2015;Kacprzak et al 2019;Marra et al 2021) have used H…”
Section: Synthetic Absorption Line Generationmentioning
confidence: 99%
“…Though simulations are commonly touted as a powerful tool for providing deeper insights into the interpretation of quasar absorption line data, and many forays in this direction have been undertaken (e.g., Churchill et al 2015;Liang et al 2018;Kacprzak et al 2019;Peeples et al 2019;Péroux et al 2020;Marra et al 2021;Strawn et al 2021), no experiment has been performed as to how the standard spectral analysis plus chemical-ionisation modelling methods employed by observers hold for simulated quasar absorption lines, i.e., do we recover the intrinsic mean physical properties of the absorbing gas using standard VP fitting to the spectra (see Churchill et al 2020, and references therein) followed by C (Ferland et al 2017) ionisation modelling constrained by the Voigt profile column densities?…”
Section: Introductionmentioning
confidence: 99%