Cosmologists have found a way to double the accuracy of measuring distances to supernova explosions - one of their tried-and-true tools for studying the mysterious dark energy that is making the universe expand faster and faster.
The famed northern and southern lights have been studied for millennia, but they still hold secrets. In a new study, physicists led by the University of Iowa describe a new phenomenon they call "diffuse auroral erasers," in which patches of the background glow are blotted out, then suddenly intensify and reappear.
A recent study analyses data collect4d at 44 of the darkest places in the world, including the Canary Island Observatories, to develop the first complete reference method to measure the natural brightness of the night sky using low-cost photometers.
Based on sensitive FAST observations toward the supernova remnant S147, a research team led by LI Di from NAOC has found the first evidence for 3D spin-velocity alignment in a pulsar. This finding helps reveal the mystery regarding the origin of pulsar spins. It also demonstrates the potential of FAST to make major contribution to further our understanding of neutron stars.
New Johns Hopkins University simulations offer an intriguing look into Saturn's interior, suggesting that a thick layer of helium rain influences the planet's magnetic field.
A curiously yellow pre-supernova star has caused astrophysicists to re-evaluate what's possible at the deaths of our Universe's most massive stars. The team describe the peculiar star and its resulting supernova in a new study published today in Monthly Notices of the Royal Astronomical Society.
New observations and simulations show that jets of high-energy particles emitted from the central massive black hole in the brightest galaxy in galaxy clusters can be used to map the structure of invisible inter-cluster magnetic fields. These findings provide astronomers with a new tool for investigating previously unexplored aspects of clusters of galaxies.
Led by Northwestern University, the international team used NASA's Hubble Space Telescope to examine a massive star two-and-a-half years before it exploded into a supernova. At the end of their lives, cool, yellow stars are typically shrouded in hydrogen, which conceals the star's hot, blue interior. But this yellow star, located 35 million lightyears from Earth in the Virgo galaxy cluster, was mysteriously lacking this crucial hydrogen layer at the time of its explosion.
A universe evolves over billions upon billions of years, but researchers have developed a way to create a complex simulated universe in less than a day. The technique, published in this week's Proceedings of the National Academy of Sciences, brings together machine learning, high-performance computing and astrophysics and will help to usher in a new era of high-resolution cosmology simulations.
Using a bit of machine learning magic, astrophysicists can now simulate vast, complex universes in a thousandth of the time it takes with conventional methods. The new method upscales low-resolution models to generate 'super-resolution' simulations. The process is akin to taking a blurry photograph and adding the missing details back in, making it sharp and clear, the researchers report in Proceedings of the National Academy of Sciences.