The Astrobites Climate Change Series: An Overview of the Environmental Impact of Astronomy Research
How do astronomers contribute disproportionately to climate change?
Baryonic Physics with Deep Learning
A new, efficient approach to modelling hydrodynamics in cosmological simulations
Joint Survey Constraints for Cheap!
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.
The Problem of Exascale Computing
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.