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Evidence for potential dark matter objects has been detected using pulsars, which are neutron stars emitting regular beams of radio waves.

These beams were analyzed by Professor John LoSecco, revealing variations and delays that indicate the presence of unseen mass, likely dark matter. LoSecco utilized data from the PPTA2 survey, involving precise measurements from several radio telescopes. The study found around a dozen instances where dark matter likely influenced pulsar signals. This research not only helps in understanding dark matter but also improves pulsar timing data for other astronomical studies.

Detecting Dark Matter With Pulsars

A study focused on cesium vanadium antimonide, a Kagome metal, has shown its potential in enhancing nano-optics by generating unique plasmon polaritons. These findings could advance optical communication and sensing technologies.

In traditional Japanese basket-weaving, the ancient “Kagome” design, notable for its symmetrical arrangement of interlaced triangles with shared corners, graces many handcrafted items. Similarly, in quantum physics, scientists use the term “Kagome” to refer to a category of materials whose atomic structures mimic this unique lattice pattern.

Since 2019, when the latest family of Kagome metals was discovered, physicists have been working to better understand their properties and potential applications. A new study led by Florida State University (FSU) Assistant Professor of Physics Guangxin Ni focuses on how a particular Kagome metal interacts with light to generate what are known as plasmon polaritons — nanoscale-level linked waves of electrons and electromagnetic fields in a material, typically caused by light or other electromagnetic waves. The work was published recently in the journal Nature Communications.

When two people interact, their brain activity becomes synchronized, but it was unclear until now to what extent this “brain-to-brain coupling” is due to linguistic information or other factors, such as body language or tone of voice.

Researchers report August 2 in the journal Neuron that brain-to-brain coupling during conversation can be modeled by considering the words used during that conversation, and the context in which they are used.

“We can see linguistic content emerge word-by-word in the speaker’s brain before they actually articulate what they’re trying to say, and the same linguistic content rapidly reemerges in the listener’s brain after they hear it,” says first author and neuroscientist Zaid Zada of Princeton University.

Why does the universe contain matter and (virtually) no antimatter? The BASE international research collaboration at the European Organization for Nuclear Research (CERN) in Geneva, headed by Professor Dr. Stefan Ulmer from Heinrich Heine University Düsseldorf (HHU), has achieved an experimental breakthrough in this context.

MIT physicists and colleagues report new insights into exotic particles key to a form of magnetism that has attracted growing interest because it originates from ultrathin materials only a few atomic layers thick. The work, which could impact future electronics and more, also establishes a new way to study these particles through a powerful instrument at the National Synchrotron Light Source II at Brookhaven National Laboratory.

Scientists cannot observe dark matter directly, so to “see” it, they look for signals that it has interacted with other matter by creating a visible photon. However, signals from dark matter are incredibly weak. If scientists can make a particle detector more receptive to these signals, they can increase the likelihood of discovery and decrease the time to get there. One way to do this is to stimulate the emission of photons.

Quantum technology is quantifiable in qubits, which are the most basic unit of data in quantum computers. The operation of qubits is affected by the quantum coherence time required to maintain a quantum wave state.

Dr. Asela Abeya, of SUNY Poly faculty in the Department of Mathematics and Physics, has collaborated with peers at the University at Buffalo and Rensselaer Polytechnic Institute on a research paper titled “On Maxwell-Bloch systems with inhomogeneous broadening and one-sided nonzero background,” which has been published in Communications in Mathematical Physics.

In Light: Science & Applications journal UCLA researchers introduce an innovative design for diffractive deep neural networks (D2NNs). This new architecture, termed Pyramid-D2NN (P-D2NN), achieves unidirectional image magnification and demagnification, significantly reducing the number of diffractive features required.