Kavli Affiliate: Mark Vogelsberger
| First 5 Authors: Razieh Emami, Lars Hernquist, Randall Smith, James F. Steiner, Grant Tremblay
| Summary:
We undertake a comprehensive investigation into the distribution of insitu
stars within Milky Way-like galaxies, leveraging TNG50 simulations and
comparing their predictions with data from the H3 survey. Our analysis reveals
that 28% of galaxies demonstrate reasonable agreement with H3, while only 12%
exhibit excellent alignment in their profiles, regardless of the specific
spatial cut employed to define insitu stars. To uncover the underlying factors
contributing to deviations between TNG50 and H3 distributions, we scrutinize
correlation coefficients among internal drivers(e.g., virial radius, star
formation rate [SFR]) and merger-related parameters (such as the effective
mass-ratio, mean distance, average redshift, total number of mergers, average
spin-ratio and maximum spin alignment between merging galaxies). Notably, we
identify significant correlations between deviations from observational data
and key parameters such as the median slope of virial radius, mean SFR values,
and the rate of SFR change across different redshift scans. Furthermore,
positive correlations emerge between deviations from observational data and
parameters related to galaxy mergers. We validate these correlations using the
Random Forest Regression method. Our findings underscore the invaluable
insights provided by the H3 survey in unraveling the cosmic history of galaxies
akin to the Milky Way, thereby advancing our understanding of galactic
evolution and shedding light on the formation and evolution of Milky Way-like
galaxies in cosmological simulations.
| Search Query: ArXiv Query: search_query=au:”Mark Vogelsberger”&id_list=&start=0&max_results=3