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Probing Galactic Chemical Evolution with J-PLUS Photometry

Published online by Cambridge University Press:  02 August 2018

Devin D. Whitten ,
Vinicius M. Placco ,
Timothy C. Beers ,
Spencer Clark ,
Alessandro Ederoclite  and
Cláudia Mendes de Oliveira
Devin D. Whitten
Affiliation:
University of Notre Dame, Notre Dame, IN, USA, email: dwhitten@nd.edu JINA-CEE, Notre Dame, IN, USA
Vinicius M. Placco
Affiliation:
University of Notre Dame, Notre Dame, IN, USA, email: dwhitten@nd.edu JINA-CEE, Notre Dame, IN, USA
Timothy C. Beers
Affiliation:
University of Notre Dame, Notre Dame, IN, USA, email: dwhitten@nd.edu JINA-CEE, Notre Dame, IN, USA
Spencer Clark
Affiliation:
University of Notre Dame, Notre Dame, IN, USA, email: dwhitten@nd.edu
Alessandro Ederoclite
Affiliation:
Centro de Estudios de Física del Cosmos de Aragón, Teruel, Spain
Cláudia Mendes de Oliveira
Affiliation:
Universidade de São Paulo, Brazil
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Abstract

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Narrow-band photometric surveys, such as the Javalambre Photometric Local Universe Survey (J-PLUS), provide not only a means of pre-selection for high-resolution follow-up, but open a new era of precision photometric stellar parameter determination. Using a family of machine learning algorithms known as Artificial Neural Networks (ANNs), we have obtained photometric estimates of effective temperature (Teff) and metallicity ([Fe/H]) across a wide parameter range of temperature and metallicity (4000 < Teff <7000 K; −3.5 <[Fe/H]<0.0) for a number of stars in the J-PLUS Early Data Release. With this methodology, we expect to increase the number of known Carbon-enhanced Metal-poor (CEMP; [C/Fe]>+0.7) stars by several orders of magnitude, as well as constrain the metallicity distribution function of the Milky Way Halo system.

Keywords

General: stellar parametersGalaxy: halostars: abundances
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 13 , Symposium S334: Rediscovering our Galaxy , July 2017 , pp. 383 - 384
Copyright
Copyright © International Astronomical Union 2018 

References

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