Do Electric Cosmologists Dream of the EoR?
Cosmologists estimate parameters of the epoch of reionization using clever machines.
Smarter Computers Do More Work, Only Much Slower
The goal of today’s paper is to study using an advanced machine learning method known as neural nets to improve our ability to automatically analyze data taken straight from the telescope.
Teaching Computers How Galaxies Form
After learning about galaxy formation, computers can imitate millions of hours of calculations in just a few minutes.
Tracing cosmic siblings in the Milky Way
Using data obtained from surveys of stars in the Milky Way and some clever programming, it is now possible to find stellar siblings scattered throughout our Galaxy, and thus obtain invaluable information on its evolution.
Classifying Holes in the Sun
How to teach a computer to do all of your work for you!
C-3PO, PhD: Machine Learning in Astronomy
AutoScan was able to correctly identify real sources in the validation set 96% of the time, with a false detection (claiming an artifact to be a source) rate of only 2.5%.