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Modeling Faint Morphological Number Counts

  • Conference paper
  • First Online:
Deep Fields

Part of the book series: ESO ASTROPHYSICS SYMPOSIA ((ESO))

  • 35 Accesses

Abstract.

We revisit our recent results concerning comparisons of magnitude and photometric redshift data from the Hubble Deep Fields to statistical predictions from galaxy population models. More rigorous modeling techniques are applied but our earlier conclusion that, of the various models considered, an Einstein - de Sitter universe with simple passive evolution reproduced the data best.

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Authors and Affiliations

  1. ESO

    Paul Bristow

  2. Department of Physics, University of Bristol, BS8 1TL, Bristol, UK

    Steve Phillipps

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  1. Paul Bristow
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  2. Steve Phillipps
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Stefano Cristiani Alvio Renzini Robert E. Williams

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Bristow, P., Phillipps, S. Modeling Faint Morphological Number Counts. In: Cristiani, S., Renzini, A., Williams, R.E. (eds) Deep Fields. ESO ASTROPHYSICS SYMPOSIA. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10854354_29

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  • DOI: https://doi.org/10.1007/10854354_29

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-42799-5

  • Online ISBN: 978-3-540-45514-1

  • eBook Packages: Springer Book Archive

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