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Computing Models for Faint-Galaxy Samples

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The Deep Universe

Part of the book series: Saas-Fee Advanced Courses ((SAASFEE,volume 23))

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Abstract

Given evolutionary models for galaxies with various histories of star formation, it remains to compute the number of each type as a function of apparent magnitude. This computation automatically yields the number as a function of redshift and the number as a function of apparent color, both also observable distribution functions. (One can think of other observables, of course: the distribution of surface brightness, image compactness parameters, rotation curve amplitudes and shapes, etc.) The goal is to compare the computation directly with the observed properties of magnitude-limited samples of field galaxies to see how good the match is, and what parameters the model is most sensitive to.

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© 1995 Springer-Verlag Berlin Heidelberg

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(1995). Computing Models for Faint-Galaxy Samples. In: The Deep Universe. Saas-Fee Advanced Courses, vol 23. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31635-3_14

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  • DOI: https://doi.org/10.1007/3-540-31635-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-58913-6

  • Online ISBN: 978-3-540-31635-0

  • eBook Packages: Springer Book Archive

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