The ASKAP/EMU Source Finding Data Challenge

The ASKAP/EMU Source Finding Data Challenge

The Evolutionary Map of the Universe (EMU) is a proposed radio continuum survey of the Southern Hemisphere up to declination +30◦, with the Australian Square Kilometre Array Pathfinder (ASKAP). EMU will use an automated source identification and measurement approach that is demonstrably optimal, to maximise the reliability and robustness of the resulting radio source catalogues. As a step towar...

Finding Outlier DMUs in Data Envelopment Analysis

The Challenge of Finding Intelligent Agents

The same thing applies to Web services. You don’t need to understand UDDI, WSDL, SOAP, and all WS-* technologies to build a Web application. You can just write a code in JavaScript or any other toy language, simply use HTTP GET and POST, and you’re done! If RDF-based RSS is too complicated, go Atom and REST! This is the technical essence of Web 2.0, which “mashups” existing contents in a simpli...

The challenge of axonal path-finding.

Congenital syndromes of altered nervous system connectivity are reviewed along with recent findings on axonal growth: achiasma, congenital nystagmus, congenital horizontal gaze palsy, mirror movements and the syndromes of Kallmann, Wildervanck, Duane and Marcus Gunn. Identical guidance molecules are most likely involved in making axonal connections after injury and during development. Thus, inv...

Source Finding and Visualisation

Source Finding and Visualisation Bärbel S. Koribalski Large radio surveys, such as those proposed for the Australian SKA Pathfinder (ASKAP), require excellent source-finding algorithms. Here, we discuss advanced methods for finding sources in spectral line, radio continuum and polarisation surveys. We also look into data visualisation to explore the survey results together with their multi-wave...