Description
Over the past decades, spatially resolved spectroscopic studies have confirmed that galaxies come in two broad dynamical families: fast vs. slow rotators. Slow rotators are on average older, more likely to have higher stellar masses and typically found in denser environments. With age and stellar mass being the strongest predictors of galaxy spin, the diminishing influence of environment has recently been put into question.
To help explain observational trends and ascertain the role of nurture in galaxy spin, we turn to causal inference using a Bayesian mixture model applied to 3 hydrodynamical cosmological simulations (EAGLE, Magneticum and Illustris-TNG100). In this talk, I will show that the effect and mechanism of influence of environment on galaxy spin is model-dependent. The statistical framework shows promising delineating power to help detangle the possible impact and mechanism of influence of environment on galaxy spin, providing new observational constrain for model specifications in hydrodynamical cosmological simulations.
| I am the presenting author | Yes |
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