SF-R You Sure? The Conflicting Role of Star Formation Rates in Constraining the Evolution of Milky Way Analogues in Cosmological Simulations
Alicia M. Savelli, Joshua S. Speagle, J. Ted Mackereth, Norman Murray, Kartheik G. Iyer

TL;DR
This study uses cosmological simulations to analyze the evolution of Milky Way analogues, examining how star formation rates influence their development and the challenges in selecting true MWAs at different cosmic times.
Contribution
It provides a detailed analysis of Milky Way-like galaxies' evolution using EAGLE and IllustrisTNG simulations, highlighting the role of stellar mass and SFR in their identification and evolution.
Findings
Most MWAs with similar stellar mass follow comparable evolutionary paths.
MWA in IllustrisTNG tend to remain star-forming, resulting in overly blue galaxies.
Selection efficiency for MWAs at high redshift is limited due to SFR constraints.
Abstract
Milky Way analogues (MWAs) have long been studied by astronomers to place our Galaxy within an extragalactic context. With the power of cosmological simulations, we are now able to not only characterize MWAs today, but also watch as they evolve through cosmic time. We use the EAGLE and IllustrisTNG simulations to study a group of MWAs defined by their stellar mass (SM) and star formation rate (SFR). We trace these galaxies back along their evolution to investigate the star forming and mass assembly tracks taken by a galaxy to become a MWA today in light of these chosen parameters. We also take mock-observations of "MWAs" at and trace them forwards in time to determine if galaxies that looked similar to the Milky Way earlier in their evolution still look like the Milky Way today, thus quantifying a selection efficiency which could inform future observational studies of MWAs. We…
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Taxonomy
TopicsStellar, planetary, and galactic studies · Astronomy and Astrophysical Research · Gamma-ray bursts and supernovae
