The Halo21 absorption modelling challenge: lessons from ‘observing’ synthetic circumgalactic absorption spectra

Author:

Hafen Zachary12ORCID,Sameer 34ORCID,Hummels Cameron5,Charlton Jane3,Mandelker Nir67ORCID,Wijers Nastasha89ORCID,Bullock James1ORCID,Faerman Yakov10ORCID,Lehner Nicolas4,Stern Jonathan11ORCID

Affiliation:

1. Department of Physics and Astronomy, University of California Irvine , CA 92697 , USA

2. The Adler Planetarium , 1300 S. Lake Shore Dr, Chicago, IL 60605 , USA

3. Department of Astronomy & Astrophysics , 525 Davey Lab, The Pennsylvania State University, University Park, PA 16802 , USA

4. Department of Physics & Astronomy , Nieuwland Science Hall, The University of Notre Dame, Notre Dame, IN 46556 , USA

5. TAPIR, California Institute of Technology , Pasadena, CA 91125 , USA

6. Racah Institute of Physics, The Hebrew University of Jerusalem , Jerusalem 91904 , Israel

7. Kavli Institute for Theoretical Physics , Kohn Hall, Santa Barbara, CA 93106 , USA

8. Leiden Observatory, Leiden University , PO Box 9513, NL-2300 RA Leiden , the Netherlands

9. Center for Interdisciplinary Exploration and Research in Astrophysics (CIERA), Northwestern University , 1800 Sherman Ave, Evanston, IL 60201 , USA

10. Astronomy Department, University of Washington , Seattle, WA 98195 , USA

11. School of Physics & Astronomy , Tel Aviv University, Tel Aviv 69978 , Israel

Abstract

ABSTRACT In the Halo21 absorption modelling challenge we generated synthetic absorption spectra of the circumgalactic medium (CGM), and attempted to estimate the metallicity, temperature, and density (Z, T, and nH) of the underlying gas using observational methods. We iteratively generated and analysed three increasingly complex data samples: ion column densities of isolated uniform clouds, mock spectra of 1–3 uniform clouds, and mock spectra of high-resolution turbulent mixing zones. We found that the observational estimates were accurate for both uniform cloud samples, with Z, T, and nH retrieved within 0.1 dex of the source value for $\gtrsim 90~{{\ \rm per\ cent}}$ of absorption systems. In the turbulent-mixing scenario, the mass, temperature, and metallicity of the strongest absorption components were also retrieved with high accuracy. However, the underlying properties of the subdominant components were poorly constrained because the corresponding simulated gas contributed only weakly to the H i absorption profiles. On the other hand, including additional components beyond the dominant ones did improve the fit, consistent with the true existence of complex cloud structures in the source data.

Funder

STFC

Publisher

Oxford University Press (OUP)

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