Using Machine Learning to Make A Really Big Detailed Simulation
In today’s astrobite, we examine an application of machine learning in astronomy that may enable new breakthroughs in simulations of large scale structure.
In today’s astrobite, we examine an application of machine learning in astronomy that may enable new breakthroughs in simulations of large scale structure.
In today’s Astrobite, the authors create a mock massive black hole data set to test whether their LISA analysis pipeline can recover their mock data.
What’s better than a single gravitational lens? A double gravitational lens! Learn about how light from a distant quasar zig-zags across the universe because of the first double gravitational lens to be observed!
Bundle up – we’re taking a look at some cool simulations of cluster cold fronts.
We have not found a Solar System analog, but upcoming missions stand to discover more and more multi-planet systems. We can begin to understand these systems by asking: what would our own Solar System look like to distant observers?
The Kepler dataset appears to be split between single planet systems and multi-planet systems. Could this be because systems become dynamically hot over time?