Lifeboat Foundation: Safeguarding Humanity
Toggle light / dark theme

Blog

Category: space

Cosmic dawn fuel discovery unlocks early galaxy growth secrets

Astronomers have discovered a huge reservoir of cold molecular gas, the direct fuel for star formation, in REBELS-25, a massive, star-forming galaxy. The team, led from Leiden University, focused on REBELS-25, seen when the universe was only about 700 million years old, around 5% of its current age. The research is published in the journal Monthly Notices of the Royal Astronomical Society.

Astronomers use “redshift” to describe this distance, which measures how much the universe’s expansion has stretched a galaxy’s light to redder wavelengths. The higher the redshift, the farther back in time we look. REBELS-25 sits at redshift z = 7.3, deep in the Epoch of Reionization, a key era in which the first stars and galaxies transformed the dark, neutral universe into the universe we see around us today.

Galaxies grow by turning gas into stars, and cold molecular gas is the primary fuel. Until now, astronomers suspected early bright, massive galaxies had huge gas supplies, but no one had directly detected them at these distances.

Diffusion model links foam physics to voting shifts and market behavior

A drop of dye added to a glass of water undergoes ordinary diffusion. However, when placed on the surface of a foam, the dye spreads differently—diffusion becomes anomalous. An example of this is the pattern on the froth of a cup of cappuccino. Interestingly, recent research suggests that diffusion equations in a heterogeneous environment can also describe social phenomena, such as election results or the behavior of stock market traders. The study is published in the Chaos: An Interdisciplinary Journal of Nonlinear Science.

The movement of particles in complex media—such as porous materials, gels or foams—bears more resemblance to a random journey through an irregular maze than to a leisurely stroll through a homogeneous space. The presence of local “traps” alongside narrow passages or branches causes the transport of matter or energy to be significantly slowed down or accelerated. Such deviations from classical diffusion are referred to as anomalous diffusion. It is also observed in media with a nonuniform structure.

An international team of physicists from Poland, Croatia, Macedonia and Hungary has undertaken a mathematical description of diffusion in such systems; the Polish side was represented by scientists from the Institute of Nuclear Physics of the Polish Academy of Sciences (IFJ PAN) in Cracow.

Quantization of Harmonic oscillator|Quantum field theory

Quantization harmonic oscillator.
second quantization harmonic oscillator.
bohr sommerfeld quantization harmonic oscillator.
energy quantization harmonic oscillator.
field quantization harmonic oscillator.
geometric quantization harmonic oscillator.
path integral quantization harmonic oscillator.
simple harmonic oscillator quantization.
quantization of quantum harmonic oscillator.
quantum harmonic oscillator wave function.
quantization of harmonic oscillator.
quantum harmonic oscillator examples.
quantum harmonic oscillator energy levels.
harmonic oscillator second quantization.
quantum harmonic oscillator frequency.
quantization of the damped harmonic oscillator.
density of states of harmonic oscillator.
harmonic oscillator wave function.
quantum harmonic oscillator differential equation.
quantum harmonic oscillator in electric field.
quantum harmonic oscillator equation.
what is harmonic oscillator in quantum mechanics.
harmonic quantum oscillator.
quantum harmonic oscillator solutions.
quantum harmonic oscillator ladder operators.
quantum harmonic oscillator momentum space.
qm harmonic oscillator.
second quantization of harmonic oscillator.
polymer quantization of harmonic oscillator.
partition function of quantum harmonic oscillator.
quantum harmonic oscillator applications.
frequency of quantum harmonic oscillator.
the quantum harmonic oscillator.
quantum harmonic oscillator partition function.

Ultra-Hot Jupiter WASP-121b Reveals Atmospheric Secrets

“WASP-121b is particularly extreme, with average temperatures on the dayside hemisphere being around 2,770 Kelvin, while those on the nightside are closer to about 1,000 Kelvin,” said Dr. Tom Evans-Soma. [ https://www.labroots.com/trending/space/30649/ultra-hot-jupi…-secrets-2](https://www.labroots.com/trending/space/30649/ultra-hot-jupi…-secrets-2)

What can an exoplanet’s temperature differences teach astronomers about exoplanet atmospheres? This is what a recent study published in Nature Astronomy hopes to address as a team of scientists investigated the extreme temperature difference between the dayside and nightside of an exoplanet. This study has the potential to help scientists better understand the atmospheric composition and evolution of exoplanets, which could narrow the criteria for searching for life beyond Earth.

For the study, the researchers used NASA’s James Webb Space Telescope (JWST) to observe WASP-121 b, which is a well-known ultra-hot Jupiter located approximately 880 light-years from Earth. The primary motivation behind the study was to fill existing knowledge gaps regarding the atmospheric effects of these extreme temperatures. When an exoplanet passes in front of its star, light passes through the atmosphere, enabling astronomers to study this light and learn about the atmosphere.

Until JWST, astronomers lacked the technology to observe exoplanet atmospheres in extreme detail. In the end, the researchers found that WASP-121 b’s atmosphere exhibits massive temperature differences between the dayside and night side, coinciding with changes in carbon monoxide and water vapor. These temperatures vary from approximately 4,525 degrees Fahrenheit on the dayside and 1,340 degrees Fahrenheit on the night side.

Neutron star merger simulations gain new precision with AI-driven r-process heating

Using a novel simulation model based on machine learning, an international research team at GSI/FAIR has succeeded in gaining a deeper understanding of element formation in stellar events such as neutron star mergers. For the first time, the scientists used deep learning with a neural network to model the energy release during r-process nucleosynthesis in hydrodynamic simulations. The results are published in the journal Physical Review D.

Many of the chemical elements we know are created in massive stellar events such as exploding stars or neutron star mergers. These events release incredible amounts of energy, allowing for the production of heavy nuclides. One key nuclear production process is the so-called rapid neutron-capture process, or r-process, in which free neutrons are captured by existing nuclei and converted into protons—thus creating larger, heavier atomic nuclei.

“Researchers around the world strive to make these complex reactions understandable through theoretical simulations. However, modeling all parameters requires incredible computing power, which is why the models often have to be simplified,” said Dr. Oliver Just, first author of the publication and a researcher in the Nuclear Astrophysics & Structure Department at GSI/FAIR. “Our new model, RHINE, which uses artificial intelligence, offers an efficient alternative.”

Lunar orbiter concept could reveal five key elements across moon in two years

Researchers from Tokyo Metropolitan University have used simulations to show that a newly developed, compact X-ray telescope could be used to map the chemical composition of the entire lunar surface, a vital breakthrough for understanding its geological evolution. Detailed modeling of the detector and a realistic satellite mission show that two years would be enough to map five key elements, while an array of 5-by-5 detectors could improve resolution and get results faster.

The geological evolution of the moon remains a mystery to scientists. This reflects how challenging it is to get accurate information, such as a complete map of the geochemistry of the lunar surface. Since we cannot readily go and collect samples from anywhere, scientists use a technology known as X-ray fluorescence imaging, in which detectors directed at the moon are used to pick up X-rays released by specific elements when they are hit by solar rays.

While observations during the Apollo and Chandrayaan missions have successfully yielded partial maps, we are nowhere near a comprehensive map that might illuminate lunar geology. This is due to significant technical challenges, including a lack of sufficient illumination by solar rays during the lifetime of a mission and degradation of the detector. The illumination issue is particularly pronounced in polar regions, where solar X-rays are much weaker.

Did this star eat its planets? A new study offers clues on ‘chemical paradox’ of a binary system

Astronomers have investigated a puzzling binary star system in which two stars that may have formed together now show dramatically different chemical compositions. The new study, uploaded to the arXiv preprint server on May 29, hints at the possibility that one of the stars may have swallowed its own planets.

Generally, in binary systems, the two stars form from the same molecular cloud and, as a result, have the same age and chemical composition. Any differences in their metallicity, astronomers say, hint at an event involving mass transfer or engulfment of planetary components or other internal processes. HD 81,809 is one such peculiar system in which the stars are both sun-like G stars but are at different stages of evolution.

The primary star, HD 81809A, has crossed the main-sequence phase, depleted its hydrogen fuel in the core but hasn’t turned into a giant star yet—it is now a subgiant. On the other hand, the secondary star, HD 81809B, is still a main-sequence star. It has lithium enrichment and there is a difference in iron content between the two stars—the primary is metal-poor with an iron abundance of −0.57 dex, while the secondary has roughly solar metallicity around 0.00 dex.

/* */