Add BrightSurf on Google Email

Royal Astronomical Society


Milky Way could have 100 billion brown dwarfs

An international team of astronomers suggests that the Milky Way contains a staggering number of brown dwarfs, with estimates ranging from 25 to 100 billion. The Substellar Objects in Nearby Young Clusters (SONYC) survey found that brown dwarfs are common in dense star clusters and have a small effect on their formation environment.

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateJul 5, 2017

Re-making planets after star-death

Astronomers Dr Jane Greaves and Dr Wayne Holland propose a new model for forming planets in the aftermath of a supernova explosion. They suggest that material caught up in the bow-wave around a moving neutron star could provide raw materials for future planet formation. Further data from ALMA is needed to confirm this theory.

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateJul 5, 2017

New survey hints at exotic origin for the Cold Spot

A new survey of galaxy redshifts finds no evidence of a supervoid causing the Cosmic Microwave Background's Cold Spot. The researchers suggest that smaller voids and galaxy clusters in the area may be responsible, but simulations of standard cosmology give only a 1-in-50 chance that the spot arose by chance.

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateApr 25, 2017

Spontaneous 'dust traps': Astronomers discover a missing link in planet formation

Researchers propose that dust traps, high-pressure regions where dust grains accumulate and avoid fragmentation, play a key role in planet formation. These spontaneous traps concentrate grains from outer disk regions, helping to form planets and addressing the long-standing problem of how pebbles join together to create planetary cores.

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateFeb 27, 2017

Neural networks promise sharpest ever images

Swiss researchers use neural networks to challenge the resolution limit of telescopes, recovering features that were previously invisible. The technique, inspired by a generative adversarial network, achieves better results than previous methods, such as deconvolution, and has vast potential for future astronomical observations.

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateFeb 22, 2017

Struggle to escape distant galaxies creates giant halos of scattered photons

Astronomers have discovered giant halos of scattered photons around early Milky Way type galaxies, indicating that only a small percentage of light emitted by distant stars can escape these galaxies. The study uses the Isaac Newton Telescope to survey almost 1000 distant galaxies and measures the amount and location of Lyman-alpha phot...

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateJan 11, 2017

A giant stellar void in the Milky Way

An international team of astronomers has found a huge region around the centre of the Milky Way devoid of young stars, indicating a lack of star formation. This 'Cepheid desert' stretches for thousands of light years and challenges our understanding of the Galaxy's formation and evolution.

SourceRoyal Astronomical Society·JournalMonthly Notices of the Royal Astronomical Society·DateAug 1, 2016