Modelling galaxy populations in the era of big data
MetadataShow full item record
© 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.
Showing items related by title, author, creator and subject.
Wright, Graeme L. (2000)The objective of this study was to investigate the application of multiscale satellite remote sensing data for assessment of land cover change in the rural-urban fringe. Inherent in this assessment process was the ...
Big Data—A New Technology Trend and Factors Affecting the Implementation of Big Data in Australian IndustriesIssa, Tomayess; Jadeja, B. (2018)Big data is new technology trend and it provides immense advantages. There are too many social networking websites people are using, these websites more than ever before. The data which has been created in the last 5 years ...
Turner, Sian Elizabeth (2009)Background and research questions. The characterization of chronic persistent asthma in an older adult population is not well defined. This is due to the difficulties in separating the diagnosis of asthma from that of ...