Importance of Mock Observations in Validating Galaxy Properties for Cosmological Simulations
Lin Tang (CNWU), Weipeng Lin (SYSU), Yang Wang (SYSU), N. R., Napolitano (SYSU)

TL;DR
This study demonstrates that applying observational techniques to mock galaxy images from simulations yields more accurate comparisons with real data, highlighting the importance of realistic analysis methods in galaxy formation research.
Contribution
The paper introduces a new observationally motivated method to analyze hydrodynamical simulation data, improving the realism of galaxy property measurements and comparisons with observations.
Findings
Mock observations produce realistic galaxy surface-brightness profiles.
Good agreement between simulated and real galaxy scaling relations.
No significant tension at the bright end of the luminosity function.
Abstract
The galaxy luminosity function and galaxy stellar mass function are fundamental statistics in the testing of galaxy formation models. Theoretical predictions based on cosmological simulations can deviate from observations, especially at the bright and faint ends. In this case, the mismatch may come from missing physics, oversimplified or inaccurate model recipes, or inappropriate methods of extracting basic astrophysical quantities from simulations. The latter is a crucial aspect to consider to avoid misleading conclusions when comparing simulations with observations. In this paper, we have applied a new method to produce `observed' galaxies identified in mock imaging of hydrodynamical simulations. We generate low-redshift mock galaxies from the TNG100-1 simulation of IllustrisTNG and analyse them using standard `observational' techniques to extract their main structural parameters. We…
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