Dancing galaxies may shake up our ideas of galaxy formation

New Scientist

The dwarf galaxies orbiting the much larger galaxy Centaurus A appear to be moving along the same plane as one another. If this surprisingly coordinated dance around a galactic hub is common across the cosmos, we may have to go back to the drawing board on galaxy formation theory. But that's a big, big if. Theories on galaxy formation suggest that dwarf galaxies should be captured by larger galaxies into random orbits based on the direction they came from. In this view, …


Forging new worlds: high-resolution synthetic galaxies with chained generative adversarial networks

arXiv.org Machine Learning

Astronomy of the 21st century finds itself with extreme quantities of data, with most of it filtered out during capture to save on memory storage. This growth is ripe for modern technologies such as deep learning, as deep image processing techniques have the potential to allow astronomers to automatically identify, classify, segment and deblend various astronomical objects, and to aid in the calibration of shape measurements for weak lensing in cosmology through large datasets augmented with synthetic images. Since galaxies are a prime contender for such applications, we explore the use of generative adversarial networks (GANs), a class of generative models, to produce physically realistic galaxy images. By measuring the distributions of multiple physical properties, we show that images generated with our approach closely follow the distributions of real galaxies, further establishing state-of-the-art GAN architectures as a valuable tool for modern-day astronomy.


Dancing galaxies may shake up our ideas of galaxy formation

New Scientist

The dwarf galaxies orbiting the much larger galaxy Centaurus A appear to be moving along the same plane as one another. If this surprisingly coordinated dance around a galactic hub is common across the cosmos, we may have to go back to the drawing board on galaxy formation theory. Theories on galaxy formation suggest that dwarf galaxies should be captured by larger galaxies into random orbits based on the direction they came from.


[Editors' Choice] Recovering galaxy images from noisy data

Science

The information that can be extracted from an image of a galaxy is fundamentally limited by the resolution and noise in the data. Schawinski et al. have applied a machine learning method to galaxy images, which is trained by comparing artificially degraded images with the originals. The algorithm is then used to recover features from previously unseen degraded images, which it performs more successfully than traditional deconvolution techniques. The method requires assuming that the target galaxies look similar to those in the training set, and individual details can be lost or misidentified, but it should be useful for studying statistical properties of galaxies in large surveys.


Zlatan: I'm Returning to MLS to Lift Galaxy in Standings

U.S. News

"My priority No. 1 was to stay with the Galaxy, because I feel I have much more to give to Galaxy and the MLS, the fans," Ibrahimovic said Saturday at a Los Angeles-area hotel during the league's media day. "The way we ended last season was not a situation normal for me, because normally where I go, I win. And I didn't succeed with that here, and that for me was not OK. I think the fans deserve more than what they got."