Lifeboat Foundation

Similar to human teenagers, teenage galaxies are awkward, experience growth spurts and enjoy heavy metal — nickel, that is.

A Northwestern University-led team of astrophysicists has just analyzed the first results from the CECILIA (Chemical Evolution Constrained using Ionized Lines in Interstellar Aurorae) Survey, a program that uses NASA’s James Webb Space Telescope (JWST) to study the chemistry of distant galaxies.

According to the early results, so-called “teenage galaxies” — which formed two-to-three billion years after the Big Bang — are unusually hot and contain unexpected elements, like nickel, which are notoriously difficult to observe.

When galaxies collide, their supermassive black holes enter into a gravitational dance, gradually orbiting each other ever closer until eventually merging. We know they merge because we see the gravitational beasts that result, and we have detected the gravitational waves they emit as they inspiral. But the details of their final consummation remain a mystery. Now a new paper published on the pre-print server arXiv suggests part of that mystery can be solved with a bit of dark matter.

Just as the famous three-body problem has no general analytical solution for Newtonian gravity, the two-body problem has no general solution in general relativity. So, we have to resort to computer simulations to model how black holes orbit each other and eventually merge.

For binary black holes that are relatively widely separated, our simulations work really well, but when black holes are close to each other things get complicated. Einstein’s equations are very nonlinear, and modeling the dynamics of strongly interacting black holes is difficult.

The U.S. Naval Research Laboratory (NRL), in conjunction with the international Fermi Large Area Telescope Collaboration, announce the discovery of nearly 300 gamma ray pulsars in the publication of their Third Catalog of Gamma Ray Pulsars. This milestone comes 15 years after the launch of Fermi in 2008 when there were fewer than ten known gamma-ray pulsars.

“Work on this important catalog has been going on in our group for years,” said Paul Ray, Ph.D., head of the High Energy Astrophysics and Applications Section at NRL. “Our scientists and postdocs have been able to both discover and analyze the timing behavior and spectra of many of these newfound pulsars as part of our quest to further our understanding of these exotic stars that we are able to use as cosmic clocks.”

Pulsars are formed when massive stars have burned through their fuel supply and become unable to resist the inward pull of their own gravity. This results in the star collapsing into a dense, spinning, magnetized neutron star. Their spinning magnetic fields send out beams of gamma rays, the most energetic form of light. As these beams sweep across the Earth, the highly sensitive Fermi gamma-ray telescope can observe their periodic energy pulses. With more than 15 years of data, Fermi has transformed the field of pulsar research.

Author: Sharika Dhakappa The Big Bang is the most widely accepted theory of how the universe originated. Most physicists believe that the tremendously large universe we observe today began as a tiny, dense point. If the evolution of the universe till today were to be depicted as a movie, the Big Bang would be the beginning of it. We do not yet know what came before the Big Bang or whether that is even a meaningful question to ask. The cosmic movie would run for 13.8 billion years which is the current age of the universe as estimated by the WMAP satellite.

Here’s an unusual fact that takes a bit of explaining. The center of the Earth is around two and a half years younger than the surface.

About 4.6 billion years ago, a hot cloud of dust orbiting the Sun coalesced and cooled. As it did so, the heavier elements formed the center of the Earth, while lighter elements formed the mantle, and the thin layer of crust formed on the surface. This all took place at the same time, with the minor caveat that Earth has accumulated more matter in the intervening years, including potentially from planet Theia, which may have formed the Moon and left mysterious structures deep within the Earth. And yet now the center is younger than the outer bits. How?

A team of physicists calculated this strange fact in 2016. The team was aware that in the 1960s theoretical physicist Richard Feynman gave a lecture in which he stated, according to the possibly erroneous transcription, that the center of the Earth is “one or two days” younger than the surface because of the time-dilating effects of gravity. The team write that they had seen this claim repeated without being checked, likely due to “proof by ethos”, where a scientist’s status is so high that their results and calculations aren’t questioned.

From IAC-The Institute of Astrophysics of the Canary Islands [Instituto de Astrofísica de Canarias] (ES)

11.21.23 Helmut Dannerbauer [email protected].

Artist’s impression of a protocluster of galaxies in the early Universe showing galaxies forming new stars and interacting with each other. Credit: M. Kornmesser/ESO.

Artificial Intelligence and Deep learning have brought about some great advancements in the field of technology. They are enabling robots to perform activities that were previously thought to be limited to human intelligence. AI is changing the way humans approach problems and bringing revolutionary transformations and solutions to almost every industry. Teaching machines to learn from massive amounts of data and make decisions or predictions based on that learning is the basic idea behind AI. Its application in scientific endeavors has given rise to some amazing tools that are gaining massive popularity in the AI community.

In Artificial Intelligence, Symbolic Regression has been playing an important role in the subtleties of scientific research. It basically focuses on algorithms that allow machines to interpret complicated patterns and correlations found in datasets by automating the search for analytic expressions. Scientists and researchers have been putting in efforts to explore the possible uses of Symbolic Regression.

Diving into the field of Symbolic Regression, a team of researchers has recently introduced Φ-SO, a Physical Symbolic Optimization framework. This method navigates the complexities of physics, where the presence of units is crucial. It automates the process of finding analytic expressions fitting complex datasets.

Wouldn’t it be nice to have a computer answer all of the biggest questions in the universe?

In his first year of graduate school, in 2013, Michael Wagman walked into his advisor’s office and asked, “Can you help me simulate the universe?”

Wagman, a theoretical physicist and associate scientist at the US Department of Energy’s Fermi National Accelerator Laboratory, thought it seemed like a reasonable question to ask. “We have all of these beautiful theoretical descriptions of how we think the world works, so I wanted to try and connect those formal laws of physics to my everyday experience of reality,” he says.

The DOE’s shipment of 0.5 kilograms of plutonium-238 to Los Alamos National Laboratory marks a milestone in producing fuel for NASA

Established in 1958, the National Aeronautics and Space Administration (NASA) is an independent agency of the United States Federal Government that succeeded the National Advisory Committee for Aeronautics (NACA). It is responsible for the civilian space program, as well as aeronautics and aerospace research. Its vision is “To discover and expand knowledge for the benefit of humanity.” Its core values are “safety, integrity, teamwork, excellence, and inclusion.” NASA conducts research, develops technology and launches missions to explore and study Earth, the solar system, and the universe beyond. It also works to advance the state of knowledge in a wide range of scientific fields, including Earth and space science, planetary science, astrophysics, and heliophysics, and it collaborates with private companies and international partners to achieve its goals.