Lifeboat Foundation

A recent study published in Astrophysical Journal Letters discusses how new data from NASA’s James Webb Space Telescope (JWST) has identified the second-and fourth-farthest and oldest galaxies in the universe, which are located approximately 33 billion light years from Earth and part of Abell 2744, also known as Pandora’s Cluster. The reason the galaxies are estimated to be 33 billion light years from Earth is due to the expansion of the universe, but astronomers hypothesize the two were first formed approximately 330 million years after the Big Bang, which is incredibly young in cosmic terms.

The two galaxies are named UNCOVER z-12 and UNCOVER z-13 since they were discovered by the JWST UNCOVER (Ultradeep NIRSpec and NIRCam ObserVations before the Epoch of Reionization) team. This study was conducted by an international team of more than two dozen researchers, who refer to the two galaxies as appearing like a peanut and fluffy ball, and this study holds the potential to help scientists better understand the formation and evolution of the first galaxies after the Big Bang.

“Very little is known about the early universe, and the only way to learn about that time and to test our theories of early galaxy formation and growth is with these very distant galaxies,” said Dr. Bingjie Wang, who is a postdoctoral scholar in the Penn State Eberly College of Science and lead author of the study. “Prior to our analysis, we knew of only three galaxies confirmed at around this extreme distance. Studying these new galaxies and their properties has revealed the diversity of galaxies in the early universe and how much there is to be learned from them.”

A massive burst of gamma rays produced by the explosion of a star almost two billion light-years away was so powerful that it changed Earth’s atmosphere, according to scientists.

The brightest gamma-ray burst ever seen and detected impacted Earth’s atmosphere. It came from a supernova and may reveal why Earth has had mass extinctions in its past.

An international team of astrophysicists including Princeton’s Andy Goulding has discovered the most distant supermassive black hole ever found, using two NASA space telescopes: the Chandra X-ray Observatory (Chandra) and the James Webb Space Telescope (JWST).

The black hole, which is an estimated 10 to 100 million times more massive than our sun, is 13.2 billion light-years away in the galaxy UHZ-1, which means the telescopes are peering back in time to when the universe was “extremely young,” Goulding said — only about 450 million years old.

“This is one of the most dramatic discoveries to come out of the James Webb Space Telescope” and the discovery of the most distant growing supermassive black hole known, said Michael Strauss, professor and chair of astrophysical sciences at Princeton, who discussed the findings with the researchers but was not part of the research team. “Indeed, it completely smashes the old record.”

European astronomers released the first images from the new Euclid space telescope last week.

The European Space Agency (ESA) and the U.S. space agency, NASA, designed Euclid to study dark matter and dark energy. Scientists think those hidden forms of matter and energy make up 95 percent of the universe.

ESA is leading the six-year mission with NASA as a partner. ESA said the images were the most detailed of their kind. They show the telescope’s ability to observe billions of galaxies up to 10 billion light years away.

At the heart of a distant galaxy, scientists saw a fountain of material moving away from the central supermassive black hole — and back.

A new way to simulate supernovae may help shed light on our cosmic origins. Supernovae, exploding stars, play a critical role in the formation and evolution of galaxies. However, key aspects of them are notoriously difficult to simulate accurately in reasonably short amounts of time. For the first time, a team of researchers, including those from The University of Tokyo, apply deep learning to the problem of supernova simulation. Their approach can speed up the simulation of supernovae, and therefore of galaxy formation and evolution as well. These simulations include the evolution of the chemistry which led to life.

When you hear about deep learning, you might think of the latest app that sprung up this week to do something clever with images or generate humanlike text. Deep learning might be responsible for some behind-the-scenes aspects of such things, but it’s also used extensively in different fields of research. Recently, a team at a tech event called a hackathon applied deep learning to weather forecasting. It proved quite effective, and this got doctoral student Keiya Hirashima from the University of Tokyo’s Department of Astronomy thinking.

“Weather is a very complex phenomenon but ultimately it boils down to fluid dynamics calculations,” said Hirashima. “So, I wondered if we could modify deep learning models used for weather forecasting and apply them to another fluid system, but one that exists on a vastly larger scale and which we lack direct access to: my field of research, supernova explosions.”

The oldest known black hole — a 13.2 billion-year-old ‘behemoth’ — has been discovered by scientists.

NASA’s James Webb Space Telescope and Chandra X-Ray Observatory spent the past year working together to find and confirm the black hole and on Monday, researchers published their findings which confirmed beliefs that supermassive black holes existed at the start of the universe.

They believe the newly-located black hole was formed just 470 million years after the Big Bang and is 10 times larger than the black hole in the Milky Way.

“There is a whole new discussion at least posing the question of the carbon footprint of particle physics.”

A particle collider, sometimes referred to as an atom smasher, is a type of high-energy physics apparatus used to investigate the fundamental particles and forces that exist in the cosmos. Subatomic particles, such as protons, electrons, or other charged particles, are accelerated to extremely high speeds and collide at extremely high energies in particle colliders.

Scientists use them to study the core components of matter and the fundamental forces of existence such as the nature of dark matter, the properties of quarks and leptons as well as the strong nuclear force, the weak nuclear… More.

Continue reading “Energy efficient particle collider concept could revolutionize physics” »

A new study reveals that supermassive black holes at the centers of galaxies, known as quasars, can sometimes be obscured by dense clouds of gas and dust in their host galaxies.

This challenges the prevailing idea that quasars are only obscured by donut-shaped rings of dust in the close vicinity of the black hole.

Quasars are extremely bright objects powered by black holes gorging on surrounding material. Their powerful radiation can be blocked if thick clouds come between us and the quasar.