RETURN TO [Log-]NORMALCY: RETHINKING QUENCHING, THE STAR FORMATION MAIN SEQUENCE, AND PERHAPS MUCH MORE

ABSTRACT Knowledge of galaxy evolution rests on cross-sectional observations of different objects at different times. Understanding of galaxy evolution rests on longitudinal interpretations of how these data relate to individual objects moving through time. The connection between the two is often as...

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Bibliographic Details
Published in:The Astrophysical journal 2016-11, Vol.832 (1), p.7
Main Authors: Abramson, Louis E., Gladders, Michael D., Dressler, Alan, Oemler, Augustus, Poggianti, Bianca, Vulcani, Benedetta
Format: Article
Language:English
Subjects:
Astronomical models
Astrophysics
ASTROPHYSICS, COSMOLOGY AND ASTRONOMY
Computer simulation
COMPUTERIZED SIMULATION
CORRELATIONS
DENSITY
Downsizing
GALACTIC EVOLUTION
GALAXIES
galaxies: evolution
galaxies: formation
galaxies: luminosity function, mass function
galaxies: star formation
Initial conditions
LUMINOSITY
MASS
QUENCHING
Spatial data
Star & galaxy formation
STAR EVOLUTION
Star formation
Star formation rate
STARS
Stars & galaxies
Stellar evolution
Stellar mass
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Summary:ABSTRACT Knowledge of galaxy evolution rests on cross-sectional observations of different objects at different times. Understanding of galaxy evolution rests on longitudinal interpretations of how these data relate to individual objects moving through time. The connection between the two is often assumed to be clear, but we use a simple "physics-free" model to show that it is not and that exploring its nuances can yield new insights. Comprising nothing more than 2094 loosely constrained lognormal star formation histories (SFHs), the model faithfully reproduces the following data it was not designed to match: stellar mass functions at the slope of the star formation rate/stellar mass relation (the SFR "Main Sequence") at the mean of low-mass galaxies at "fast-" and "slow-track" quenching; downsizing; and a correlation between formation timescale and similar to results from simulations that provides a natural connection to bulge growth. We take these findings-which suggest that quenching is the natural downturn of all SFHs affecting galaxies at rates/times correlated with their densities-to mean that: (1) models in which galaxies are diversified on Hubble timescales by something like initial conditions rival the dominant grow-and-quench framework as good descriptions of the data; or (2) absent spatial information, many metrics of galaxy evolution are too undiscriminating-if not inherently misleading-to confirm a unique explanation. We outline future tests of our model but stress that, even if ultimately incorrect, it illustrates how exploring different paradigms can aid learning and, we hope, more detailed modeling efforts.
ISSN:0004-637X
1538-4357
DOI:10.3847/0004-637X/832/1/7