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PhD : Data Mining for Statistical Analysis of the Faint Radio Sky: the Pathway to EMU

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Radio surveys to date such as the Australia Telescope Large Area Survey (ATLAS) have been used to identify objects for this investigation which contain 100's of identified object, but with new instruments such as the Australian Square Kilometre Array pathfinder (ASKAP) which is in the process of being commissioned and larger surveys the number of objects identified will increase to the millions. One such future survey is the Evolutionary Map of the Universe (EMU), which will be a radio sky survey using the new ASKAP antenna array to make a deep radio survey of the Southern Sky. Due to size of the survey area and depth a very large number of new sources will be identified, it is estimated at about ~70 million. Deep in this context means that the survey will try to achieve ~10 uJy rms or better and as a result probe sources such as SFG's to a redshift of ~z = 1, powerful starbursts to even higher redshifts and AGN's to the edge of the visible universe.

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Having this data we are then faced with the dilemma of how to cross identify the ~70 million sources from the radio with surveys in other wavelengths or follow up observations in a automated pipeline.

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Also how to manage the resultant large catalogue for EMU data users to conduct further science mining the data.

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AUT University, PhD, Confirmation of Candidature Research Proposal (PGR9) PDF file, 6 MBytes)