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Category: particle physics – Page 363

Physicists have detected “ghost particles” in the Large Hadron Collider for the first time. An experiment called FASER picked up telltale signals of neutrinos being produced in particle collisions, which can help scientists better understand key physics.

Neutrinos are elementary particles that are electrically neutral, extremely light and rarely interact with particles of matter. That makes them tricky to detect, even though they’re very common – in fact, there are billions of neutrinos streaming through your body right now. Because of this, they’re often described as ghost particles.

Neutrinos are produced in stars, supernovae, quasars. radioactive decay and from cosmic rays interacting with atoms in the Earth’s atmosphere. It’s long been thought that particle accelerators like the LHC should be making them too, but without the right instruments they would just zip away undetected.

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ROME, July 2 (Reuters) — A United Nations-backed scientific research centre has teamed up with an Italian tech firm to explore whether laser light can be used to kill coronavirus particles suspended in the air and help keep indoor spaces safe.

The joint effort between the International Centre for Genetic Engineering and Biotechnology (ICGEB) of Trieste, a city in the north of Italy, and the nearby Eltech K-Laser company, was launched last year as COVID-19 was battering the country.

They created a device that forces air through a sterilization chamber which contains a laser beam filter that pulverizes viruses and bacteria.

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Researchers prepare ‘new type of matter’ to conduct classic wave-particle duality experiment.

The iconic quantum double-slit experiment, which reveals how matter can behave like waves that displays interference and superposition, has for the first time been demonstrated with individual molecules as the slits.

Richard Feynman once said that the double-slit experiment reveals the central puzzles of quantum mechanics, putting us ‘up against the paradoxes and mysteries and peculiarities of nature’.

Richard Zare, Nandini Mukherjee and their co-workers at Stanford University, US, have now shown that when helium atoms collide with deuterium molecules (D2) in quantum superposition of states, the scattering can take two different paths that interfere with one another. The researchers reveal the interference by looking at its effects on the scattered D2 molecules, which lose rotational energy in the collision.

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It’s almost Time to use our AI Brothers to search for and Welcome our Space Brothers. Welcome AI and Space friends.

The best public policy is shaped by scientific evidence. Although obvious in retrospect, scientists often fail to follow this dictum. The refusal to admit anomalies as evidence that our knowledge base may have missed something important about reality stems from our ego. However, what will happen when artificial intelligence plays a starring role in the analysis of data? Will these future ‘AI-scientists’ alter the way information is processed and understood, all without human bias?

The mainstream of physics routinely embarks on speculations. For example, we invested 7.5 billion Euros in the Large Hadron Collider with the hope of finding Supersymmetry 0, without success. We invested hundreds of millions of dollars in the search for Weakly Interacting Massive Particles (WIMPs) as dark matter 0, and four decades later, we have been unsuccessful. In retrospect, these were searches in the dark. But one wonders why they were endorsed by the mainstream scientific community while less speculative searches are not?

Consider, for example, the search for equipment in space from extraterrestrial civilizations. Our own civilization launched five interstellar probes. Moreover, the Kepler satellite data revealed that a substantial fraction of all Sun-like stars have an Earth-sized planet at the same separation. Given that most stars formed billions of years before the Sun, imagining numerous extraterrestrial probes floating in interstellar space should not be regarded as more speculative than the notions of Supersymmetry or WIMPs.

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Scientists from the RIKEN Center for Emergent Matter Science and collaborators have shown that they can manipulate single skyrmions—tiny magnetic vortices that could be used as computing bits in future ultra-dense information storage devices—using pulses of electric current, at room temperature.

Skyrmions—tiny particles that can be moved under small electric currents several orders lower than those used for driving magnetic domain walls—are being studied in the hope of developing promising applications in data storage devices with low energy consumption. The key to creating spintronics devices is the ability to effectively manipulate, and measure, a single tiny vortex.

Most research to date has focused on the dynamics for skyrmions a micrometer or more in size or skyrmion clusters stabilized below room temperature. For the current research, published in Nature Communications, the researchers used a thin magnetic plate made up of a compound of cobalt, zinc, and manganese, Co9Zn9Mn2, which is known as a chiral-lattice magnet. They directly observed the dynamics of a single skyrmion, with a size of 100 nanometers, at room temperature using Lorentz transmission electron microscopy. They were able to track the motions of the skyrmion and control its Hall motion directions by flipping the magnetic field, when they subjected it to ultrafast pulses of electric current—on the scale of nanoseconds.

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The first 256-qubit quantum computer has been announced by startup company QuEra, founded by MIT and Harvard scientists.

QuEra Computing Inc. – a new Boston, Massachusetts-based company – has emerged from stealth mode with $17 million in funding and has completed the assembly of a 256-qubit device. Its funders include Japanese e-commerce giant Rakuten, Day One Ventures, Frontiers Capital, and the leading tech investors Serguei Beloussov and Paul Maritz. The company recently received a DARPA award, and has already generated $11 million in revenue.

QuEra Computing recently achieved ground-breaking research on neutral atoms, developed at Harvard University and the Massachusetts Institute of Technology, which is being used as the basis for a highly scalable, programmable quantum computer solution. The QuEra team is aiming to build the world’s most powerful quantum computers to take on computational tasks that are currently deemed impossibly hard.

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Physicists have created a new ultra-thin, two-layer material with quantum properties that normally require rare earth compounds. This material, which is relatively easy to make and does not contain rare earth metals, could provide a new platform for quantum computing and advance research into unconventional superconductivity and quantum criticality.

The researchers showed that by starting from seemingly common materials, a radically new quantum state of matter can appear. The discovery emerged from their efforts to create a quantum spin liquid which they could use to investigate emergent quantum phenomena such as gauge theory. This involves fabricating a single layer of atomically thin tantalum disulphide, but the process also creates islands that consist of two layers.

When the team examined these islands, they found that interactions between the two layers induced a phenomenon known as the Kondo effect, leading to a macroscopically entangled state of matter producing a heavy-fermion system.

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Neutrinos may be the key to finally solving a mystery of the origins of our matter-dominated universe, and preparations for two major, billion-dollar experiments are underway to reveal the particles’ secrets. Now, a team of nuclear physicists have turned to the humble electron to provide insight for how these experiments can better prepare to capture critical information. Their research, which was carried out at the U.S. Department of Energy’s Thomas Jefferson National Accelerator Facility and recently published in Nature, reveals that major updates to neutrino models are needed for the experiments to achieve high-precision results.

Neutrinos are ubiquitous, generated in copious numbers by stars throughout our universe. Though prevalent, these shy particles rarely interact with matter, making them very difficult to study.

“There is this phenomenon of neutrinos changing from one type to another, and this phenomenon is called . It’s interesting to study this phenomenon, because it is not well understood,” said Mariana Khachatryan, a co-lead author on the study who was a graduate student at Old Dominion University in Professor and Eminent Scholar Larry Weinstein’s research group when she contributed to the research. She is now a postdoctoral research associate at Florida International University.

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Rarely does scientific software spark such sensational headlines. “One of biology’s biggest mysteries ‘largely solved’ by AI”, declared the BBC. Forbes called it “the most important achievement in AI — ever”. The buzz over the November 2020 debut of AlphaFold2, Google DeepMind’s (AI) system for predicting the 3D structure of proteins, has only intensified since the tool was made freely available in July.

The excitement relates to the software’s potential to solve one of biology’s thorniest problems — predicting the functional, folded structure of a protein molecule from its linear amino-acid sequence, right down to the position of each atom in 3D space. The underlying physicochemical rules for how proteins form their 3D structures remain too complicated for humans to parse, so this ‘protein-folding problem’ has remained unsolved for decades.

Researchers have worked out the structures of around 160,000 proteins from all kingdoms of life. They have been using experimental techniques, such as X-ray crystallography and cryo-electron microscopy (cryo-EM), and then depositing their 3D information in the Protein Data Bank. Computational biologists have made steady gains in developing software that complements these methods, and have correctly predicted the 3D shapes of some molecules from well-studied protein families.

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