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    Modelling galaxy populations in the era of big data

    Access Status
    Fulltext not available
    Authors
    Murray, Steven
    Power, C.
    Robotham, A.
    Date
    2015
    Type
    Journal Article
    
    Metadata
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    Citation
    Murray, S. and Power, C. and Robotham, A. 2015. Modelling galaxy populations in the era of big data. Proceedings of the International Astronomical Union. 10: pp. 304-306.
    Source Title
    Proceedings of the International Astronomical Union
    DOI
    10.1017/S1743921314010710
    ISSN
    1743-9213
    School
    Curtin Institute of Radio Astronomy (Physics)
    URI
    http://hdl.handle.net/20.500.11937/56295
    Collection
    • Curtin Research Publications
    Abstract

    © International Astronomical Union 2015. The coming decade will witness a deluge of data from next generation galaxy surveys such as the Square Kilometre Array and Euclid. How can we optimally and robustly analyse these data to maximise scientific returns from these surveys? Here we discuss recent work in developing both the conceptual and software frameworks for carrying out such analyses and their application to the dark matter halo mass function. We summarise what we have learned about the HMF from the last 10 years of precision CMB data using the open-source HMFcalc framework, before discussing how this framework is being extended to the full Halo Model.

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