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Azimuthal Variations of Stellar Populations in Barred Galaxies

Authors: Neumann, Justus;

Azimuthal Variations of Stellar Populations in Barred Galaxies

Abstract

Stars are archeological relics that allow us to trace back the history of mass assembly and chemical enrichment in galaxies. While being inherently a challenging analysis, the derivation of spatially-resolved stellar population measurements provide us with a powerful tool to understand physical processes of galaxy evolution. Bars as non-axisymmetric structures have been shown to greatly impact the distribution of stars, gas and angular momentum in galaxies. By studying stellar populations in the central parts of barred galaxies we are able to learn about proccesses during bar formation and bar evolution. A number of studies have been focused on the impact of bars on the radial gradients, but studies on the azimuthal changes of stellar populations are relatively scarce and have mainly been focussed on massive nearby strongly-barred galaxies. In this talk, I present how stellar populations change azimuthally inside and outside bar regions and how these results depend on host galaxies of different masses, star formation rates, Halpha morphologies and bar lengths. This study is based on an extensive analysis of stellar populations in galaxies of the MaNGA integral-field spectroscopic survey.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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