GPU acceleration of gravitational-wave signal models
Neutron stars merge roughly every 15 seconds somewhere in the…
ADACS successfully deploys YandaSoft on OzSTAR
In late 2019, ADACS successfully deployed the astronomical calibration and…
Cosmic Machines
THE CHALLENGE The use of Machine Learning in astronomy is...
Bringing LIGO Science to the Masses
Gravitational-wave astronomy is now a reality. In September 2015, the…
DEVILS and GAMA data Access via Data Central
DEVILS and GAMA data Access via Data Central Dr Luke...
Simplifying access to High-Performance Galaxy Modelling
Using software support resources acquired under the 2017B semester of the ADACS Software Support scheme, ADACS has enabled an outward-facing user interface for GBKFIT: a publicly-available application for kinematic galaxy modelling. Features include a range of accepted data inputs (including flux, velocity, and velocity dispersion maps, as well as spectral cubes) and kinematic models (including exponential, flat, arctan, Epinat, and more), all wrapped in a secured web application (including a relational database and workflow management system) enabling providing support for a rich user community.
Introduction to Machine Learning Workshop
ADACS Computational Training Gives Future Astronomers the Tools to Map...
Speeding-up Reionization with GPUs
Using software support resources acquired under the 2017B semester of the ADACS Software Support scheme, Dr. Simon Mutch of the University of Melbourne has partnered with ADACS in the effort to supply accurate theoretical models capable of predicting the progression of this transition, and of interpreting these exciting observations once they become available.