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Jeremy Bailin

Researcher at University of Alabama

Publications -  82
Citations -  3147

Jeremy Bailin is an academic researcher from University of Alabama. The author has contributed to research in topics: Galaxy & Milky Way. The author has an hindex of 28, co-authored 82 publications receiving 2890 citations. Previous affiliations of Jeremy Bailin include McMaster-Carr & National Radio Astronomy Observatory.

Papers
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Journal ArticleDOI

Galaxy concentrations are trimodal

Jeremy Bailin, +1 more
- 21 Apr 2008 - 
TL;DR: In this article, the authors analyzed the distribution of inclination-corrected galaxy concentrations in the Sloan Digital Sky Survey and found that the distribution is trimodal: it exhibits three distinct peaks.
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Extragalactic archeology with the GHOSTS Survey I. - Age-resolved disk structure of nearby low-mass galaxies

David Streich, +7 more
- 22 Sep 2015 - 
TL;DR: In this article, the individual evolution histories of three nearby low-mass edge-on galaxies (IC 5052, NGC4244, and NGC5023) were studied.
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Consequences of cosmic microwave background-regulated star formation

Jeremy Bailin, +5 more
- 18 Feb 2010 - 
TL;DR: In this paper, a set of hydrodynamic galaxy formation simulations is used to determine that the cosmic microwave background provides a temperature floor for collapsing protostars that can regulate the process of star formation and result in a top-heavy initial mass function at high metallicity and high redshift.
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The Saga of M81: Global View of a Massive Stellar Halo in Formation

Adam Smercina, +10 more
- 31 Oct 2019 - 
TL;DR: In this article, the authors present a survey of resolved stellar populations around M81, revealing M81's stellar halo in never-before-seen detail, and produce the first-ever global stellar mass density map for a Milky Way-mass stellar halos outside of the Local Group.
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The impact of baryons on the direct detection of dark matter

Chris Kelso, +7 more
- 18 Jan 2016 - 
TL;DR: In this paper, the authors compare the Standard Halo Model (SHM) to the results of cosmological hydrodynamical simulations of galaxy formation to investigate whether or not the SHM is a good representation of the true WIMP distribution in the analysis of direct detection data.