ScienceDaily: Space & Time News

Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a team has developed a machine learning tool to efficiently label large, complex datasets to allow deep learning models to sift through and identify potentially hazardous solar events. The new labeling tool can be applied or adapted to address other challenges involving vast datasets.

A team of physicists has developed a method for predicting the composition of dark matter -- invisible matter detected only by its gravitational pull on ordinary matter and whose discovery has been long sought by scientists.

A newly discovered star only takes four years to travel around the black hole at the center of our galaxy.

Researchers have for the first time identified an unexpected richness of complex organic molecules on a comet. This was achieved thanks to the analysis of data collected during ESA's Rosetta mission at comet 67P/Churyumov-Gerasimenko, also known as Chury. Delivered to the early Earth by impacting comets, these organics may have helped to kick-start carbon-based life as we know it.

In a recent study, researchers found that neighborhoods with more dogs had lower rates of homicide, robbery and, to a lesser extent, aggravated assaults compared to areas with fewer dogs, at least when residents also had high levels of trust in each other.

A research team realized magnetic reconnection driven by electron dynamics in laser-produced plasmas and measured the pure electron outflows. Their findings will be applied not only to space and astrophysical plasmas, but also to magnetic propulsion and fusion plasmas.