Cloud computing for (observational) astronomy
You’ve used the cloud, but have you thought about using it for astronomy? This panel from #AAS241 tells us how!
You’ve used the cloud, but have you thought about using it for astronomy? This panel from #AAS241 tells us how!
A redback pulsar slowly accreting its companion has been confirmed, by the people, through gamma-ray pulsations for the first time.
Constraining physical parameters in a cosmological survey is often computationally expensive, especially when considering more than one survey at a time. The authors of this paper offer a simple method to reconstruct parameter distributions in a fraction of the time needed for most high-performance computers.
Finding craters is a pesky problem – so let’s outsource it to machine learning!
Computational physicists are already looking to the next milestone on the horizon: exascale computing, or supercomputers whose performance peaks in the exaflop range. But we need to get a lot better at parallelization before we can successfully compute at the exascale level.
I’m a fourth year undergraduate from the University of Southampton, UK, studying for my masters at the Harvard-Smithsonian Centre for Astrophysics. With my summer reading completed, and a new exoplanet waiting to be discovered, I stepped off the plane into Boston Logan Int. this September and eagerly exchanged a drizzly English summer for a beautiful New English Autumn.