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NASA’S Parker Solar Probe Touches The Sun’s Searing Upper Atmosphere

For the first time ever, a manmade object has entered the Sun’s outer atmosphere, the corona, which inexplicably is thousands of times hotter than our star’s surface (or photosphere).

Researchers led by a team at the University of Michigan in Ann Arbor were able to predict where the Sun’s upper atmosphere began, and the probe was able to penetrate it for roughly five hours. The Parker probe was not only able to fly through the Sun’s atmosphere but was also able to sample particles and magnetic fields there, says NASA.

“Flying so close to the Sun, Parker Solar Probe now senses conditions in the magnetically dominated layer of the solar atmosphere — the corona — that we never could before,” Nour Raouafi, the Parker project scientist at the Johns Hopkins Applied Physics Laboratory in Laurel, Maryland, said in a statement. “We can actually see the spacecraft flying through coronal structures that can be observed during a total solar eclipse.”

On April 28, 2021, during its eighth flyby of the Sun, Parker Solar Probe encountered the specific magnetic and particle conditions some 8.1 million miles above the solar surface, NASA reports. That point, known as the Alfvén critical surface, marks the end of the solar atmosphere and beginning of the solar wind, says NASA.

The surface of the Sun is about 6,000 Celsius, Justin Kasper, the first author of a paper detailing the research in the journal Physical Review Letters, and a professor of climate and space sciences at the University of Michigan in Ann Arbor, told me. Above that, the temperature rises to more than a million degrees, he says.

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Researchers design an engine that uses information as fuel

Can information become a source of energy? Scientists from Simon Fraser University (SFU) in Canada devised an ultrafast engine that claims to operate on information, potentially opening up a groundbreaking new frontier in humanity’s search for new kinds of fuel. The study, published in Proceedings of the National Academy of Sciences (PNAS), describes how the researchers turned the movements of tiny particles into stored energy.

Practical demon-keeping

How would an information engine even work? The idea for such a contraption, which at first sounds like it would break the laws of physics, was first proposed by the Scottish scientist James Clerk Maxwell back in 1867. Colorfully named “Maxwell’s demon,” such a machine would theoretically achieve something akin to perpetual motion. Maxwell’s thought experiment was meant to show that it may be possible to violate the second law of thermodynamics, which basically states that the amount of entropy, or disorder, always increases.

“Split” Photons — New Research Predicts the Existence of a Previously-Unimaginable Particle

Nearly a century after Italian physicist Ettore Majorana laid the groundwork for the discovery that electrons could be divided into halves, researchers predict that split photons may also exist, according to a study from Dartmouth and SUNY Polytechnic Institute researchers.

The finding that the building blocks of light can exist in a previously-unimaginable split form advances the fundamental understanding of light and how it behaves.

The theoretical discovery of the split photon – known as a “Majorana boson” – was published in Physical Review Letters.

Generating quantum states of sound inside a microscopic device

Scientists have made it possible to generate and control quantum states in different physical systems. This control allows scientists to develop powerful new quantum technologies. In addition, it offers a roadmap to test the foundations of quantum physics.

The main challenge is to create quantum states on a larger scale.

In collaboration with the University of Oxford, scientists at Imperial College London, the Niels Bohr Institute, the Max Planck Institute for the Science of Light, and Australian National University have generated and observed non-Gaussian states high-frequency sound waves comprising more than a trillion atoms. Certainly, they transformed a randomly fluctuating sound field in thermal equilibrium to a pattern thrumming with a more specific magnitude.

New crystal structure for hydrogen compounds for high-temperature superconductivity

Superconductivity is the disappearance of electrical resistance in certain materials below a certain temperature, known as “transition temperature.” The phenomenon has tremendous implications for revolutionizing technology as know it, enabling low-loss power transmission and maintenance of electromagnetic force without electrical supply. However, superconductivity usually requires extremely low temperatures ~ 30 K (the temperature of liquid nitrogen, in comparison, is 77 K) and, therefore, expensive cooling technology. To have a shot at realizing a low-cost superconducting technology, superconductivity must be achieved at much higher transition temperatures.

Materials scientists have had a breakthrough on this front with crystalline materials containing hydrogen, known as “metal hydrides.” These are compounds formed by a metal atom bonded with hydrogen that have been predicted and realized as suitable candidates for achieving even room-temperature superconductivity. However, they require extremely high pressures to do so, limiting their practical applications.

In a new study published in Chemistry of Materials, a group of researchers led by Professor Ryo Maezono from Japan Advanced Institute of Science and Technology (JAIST) performed to expand the search for high-temperature superconductors, looking for among ternary hydrides (hydrogen combined with two other elements).

Department of Energy Announces $5.7 Million for Research on Artificial Intelligence and Machine Learning (AI/ML) for Nuclear Physics Accelerators and Detectors

WASHINGTON, D.C. — Today, the U.S. Department of Energy (DOE) announced $5.7 million for six projects that will implement artificial intelligence methods to accelerate scientific discovery in nuclear physics research. The projects aim to optimize the overall performance of complex accelerator and detector systems for nuclear physics using advanced computational methods.

“Artificial intelligence has the potential to shorten the timeline for experimental discovery in nuclear physics,” said Timothy Hallman, DOE Associate Director of Science for Nuclear Physics. “Particle accelerator facilities and nuclear physics instrumentation face a variety of technical challenges in simulations, control, data acquisition, and analysis that artificial intelligence holds promise to address.”

The six projects will be conducted by nuclear physics researchers at five DOE national laboratories and four universities. Projects will include the development of deep learning algorithms to identify a unique signal for a conjectured, very slow nuclear process known as neutrinoless double beta decay. This decay, if observed, would be at least ten thousand times more rare than the rarest known nuclear decay and could demonstrate how our universe became dominated by matter rather than antimatter. Supported efforts also include AI-driven detector design for the Electron-Ion Collider accelerator project under construction at Brookhaven National Laboratory that will probe the internal structure and forces of protons and neutrons that compose the atomic nucleus.

Effect of polarisation and choice of event generator on spectra from dark matter annihilations

If indirect detection searches are to be used to discriminate between dark matter particle models, it is crucial to understand the expected energy spectra of secondary particles such as neutrinos, charged antiparticles and gamma-rays emerging from dark matter annihilations in the local Universe. In this work we study the effect that both the choice of event generator and the polarisation of the final state particles can have on these predictions. For a variety of annihilation channels and dark matter masses, we compare yields obtained with Pythia8 and Herwig7 of all of the aforementioned secondary particle species. We investigate how polarised final states can change these results and do an extensive study of how the polarisation can impact the expected flux of neutrinos from dark matter annihilations in the centre of the Sun.

Tetra-Neutron Experiment: Understanding of Nuclear Forces Might Have To Be Significantly Changed

The tetra-neutron – experiment finds evidence for a long-sought particle comprising four neutrons.

While all atomic nuclei except hydrogen are composed of protons and neutrons, physicists have been searching for a particle consisting of two, three, or four neutrons for over half a century. Experiments by a team of physicists of the Technical University of Munich (TUM) at the accelerator laboratory on the Garching research campus now indicate that a particle comprising four bound neutrons may well exist.

While nuclear physicists agree that there are no systems in the universe made of only protons, they have been searching for particles comprising two, three, or four neutrons for more than 50 years.