Journal article

Characterization and Modeling of Contamination for Lyman Break Galaxy Samples at High Redshift

Benedetta Vulcani, Michele Trenti, Valentina Calvi, Rychard Bouwens, Pascal Oesch, Massimo Stiavelli, Marijn Franx

The Astrophysical Journal | IOP Publishing | Published : 2017

Abstract

The selection of high-redshift sources from broadband photometry using the Lyman-break galaxy (LBG) technique is a well established methodology, but the characterization of its contamination for the faintest sources is still incomplete. We use the optical and near-IR data from four (ultra)deep Hubble Space Telescope legacy fields to investigate the contamination fraction of LBG samples at z ~ 5 8– selected using a color–color method. Our approach is based on characterizing the number count distribution of interloper sources, that is, galaxies with colors similar to those of LBGs, but showing detection at wavelengths shorter than the spectral break. Without sufficient sensitivity at bluer wav..

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University of Melbourne Researchers

Grants

Awarded by Australian Research Council Discovery Early Career Researcher


Awarded by ARC



Funding Acknowledgements

We thank the anonymous referee for insightful remarks that helped us to improve the paper. B.V. acknowledges the support from an Australian Research Council Discovery Early Career Researcher Award (PD0028506). This work was partially supported by grants ARC FT130101593, and HST/GO 13767, 12905, and 12572.