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Recalibrating Strong-Line Metallicity Diagnostics: Chemical Abundances from Composite Galaxy Spectra

Reagen Leimbach ; Ly, Chun

University of Arizona 2020

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  • Título:
    Recalibrating Strong-Line Metallicity Diagnostics: Chemical Abundances from Composite Galaxy Spectra
  • Autor: Reagen Leimbach ; Ly, Chun
  • Assuntos: Astrophysics ; Extragalactic Astronomy ; Interstellar and Intergalactic Matter
  • Descrição: This talk was presented on 2019 April 13 at the 2018-19 NASA Arizona Space Grant Symposium. The event was located at the Doubletree by Hilton in Tempe, Arizona (USA).Submitted abstract:Galaxy evolution is driven by gas accretion, star formation, and gas outflows from dying stars. We can understand the physics of galaxy evolution by constraining their heavy element abundances. Current studies of distant galaxies utilize “strong-line diagnostics” to determine these abundances. These measurements are not accurate as they are calibrated with nearby galaxies, which differ from galaxies seen in the early universe. One method for solving this problem is to study “R23” and “O32” strong-line diagnostics for distant galaxies and calibrate them to a direct metallicity indicator, [OIII]λ4363. This project analyzes DEEP2 Survey data with the goal of detecting this emission line. We explored different binning approaches to find the best technique to obtain optimal signal-to-noise for stacked spectra. Detections in eight of fourteen composites allow us to calculate average electron temperatures and metallicities. Preliminary results from this project will be presented using regression techniques to relate “R23” and “O32” against metallicity. For inquiries regarding the contents of this dataset, please contact the Corresponding Author listed in the README.txt file. Administrative inquiries (e.g., removal requests, trouble downloading, etc.) can be directed to data-management@arizona.eduThis item is part of the 2019 NASA Arizona Space Grant Symposium presentations Collection
  • Editor: University of Arizona
  • Data de criação/publicação: 2020
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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