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# The Evolution of the Stellar Mass-Chemical Abundance Relation over Seven Billion Years


Preferred citation:
  McCormick, Caroline; Ly, Chun (2020).
  The Evolution of the Stellar Mass-Chemical Abundance Relation over Seven Billion Years.
  University of Arizona Research Data Repository.
  Presentation. https://doi.org/10.25422/azu.data.12209978


Corresponding Author:   
  Caroline McCormick, University of Arizona (Steward Observatory), cmccormick1@email.arizona.edu


License:
  CC BY 4.0


DOI:
  https://doi.org/10.25422/azu.data.4956452


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## Summary

This talk was presented on 2020 April 18 at the 2019-20 NASA Arizona Space Grant Symposium. The event was virtually available via Zoom.


Submitted abstract:
To understand how galaxies evolve, measurements that characterize the diffuse gas within galaxies are needed. One such measurement is the chemical content produced by stars. It is a fossilized record of cumulative star formation that is impacted by gas inflows and outflows. Driven by these insights, my NASA Space Grant project focused on constructing a stellar mass--chemical abundance relation for high-redshift galaxies. Contrary to previous work, my analyses derive chemical abundances using more robust measurements sensitive to the gas temperature. This makes it one of the first extragalactic studies to do so for the early universe. Specifically, we use the [OIII]4363 emission line and implement a spectral stacking approach to increase the detection signal for this weak emission line. With stacks for different stellar mass bins, our preliminary results illustrate that a correlation exists between stellar mass and chemical abundance for high-redshift galaxies.


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## Files and Folders

#### F_08 McCormick_Caroline.pptx: Microsoft PowerPoint presentation of research conducted during the 2019-20 NASA Arizona Space Grant program


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## Materials & Methods

- Microsoft PowerPoint needed to open file


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## Contributor Roles

The roles are defined by the CRediT taxonomy https://casrai.org/credit

- Caroline McCormick, University of Arizona: Data curation, Formal analysis, Investigation, Software, Validation
Corresponding Author
- Chun Ly, University of Arizona: Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Writing - review & editing


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## Additional Notes

This item is part of 2020 NASA Arizona Space Grant Symposium presentations collection, which is available here: 
https://doi.org/10.25422/azu.data.c.4956452