Monthly Archives: October 2010

The metaphor of research

We have produced a couple of videos, each of which ends with the little video snippet shown below. The storyline mimics the process of research. The apple at the beginning of the film is the universe, with its physics represented … Continue reading

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Networking at the 1st African school on synthesis imaging in radioastronomy at hartrao (South Africa)

From all corners of the world and Africa, we  met at Hartebeesthoek Radio Astronomy Observatory (HartRAO) , west of Johannesburg in South Africa. We came to learn about synthesis imaging in radioastronomy : a first on the African continent. As … Continue reading

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Filming with the BBC

As part of the 4 part BBC series Wonders of the Universe, I took part in filming of the episode on Time, around the old mining town of Kolmanskop, Namibia abandoned in 1954, the perfect place to illustrate the concept … Continue reading

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Radio imaging

    The first SKA sponsored Synthesis Imaging in Radio Astronomy workshop took place at HartRAO from 9 to 16 October.  Several members of the AIMS group attended along with other astronomers and cosmologists from around South Africa.  A large … Continue reading

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Group publications in September

One new paper was published, and one was revised this month: Optical discovery of stellar tidal disruption flares by Sjoert van Velzen et al. with Mathew Smith (arXiv:1009.1627) The Cosmic Microwave Background in an Inhomogeneous Universe – why void models … Continue reading

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Cosmological N-body simulations workshop

On Monday, October 4 we welcomed about 30 participants to a cosmological N-body simulation workshop organised by Andreas Faltenbacher (UWC) and Mat Smith (UCT/AIMS). People from the University of Cape Town, the University of the Western Cape, the South African … Continue reading

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Computing errors: data, models, errors and estimates

René Andrae has given the astronomy community a great paper, not to be published, but definitely to be read, about: ‘Error estimation in astronomy: A guide’ Error propagations, means, medians, maximum likelihood points, thresholds, marginalisations, etc. all are nuances that … Continue reading

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