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Search results for “Particle Physics”

1,000+ results for "Particle Physics"

Quantum steering for more precise measurements

Researchers at the University of Basel have proposed a new scheme for measuring magnetic or electric fields using quantum steering, which enhances measurement precision. By analyzing entangled particle states, scientists can make more accurate predictions about possible measurement results.

SourceUniversity of Basel·JournalNature Communications·DateApr 23, 2021

Scientists report remarkable enhancement of α-particle clustering in uranium isotopes

Researchers at Chinese Academy of Sciences discover abnormal enhancement of α-particle clustering in uranium isotopes, revealing strong proton-neutron interaction influence on α-decay properties. The study reveals systematics trends and anomalies in α-decay reduced widths for polonium-plutonium nuclei near shell closure.

SourceChinese Academy of Sciences Headquarters·JournalPhysical Review Letters·DateApr 16, 2021

The future of particle accelerators is here

The Electron Ion Collider will take 3D images of electrons colliding with polarized protons and ions, shedding light on fundamental questions in nuclear physics. The collider's experimental equipment may also detect the elusive chiral magnetic effect, a crucial prediction for understanding the universe's matter-antimatter imbalance.

Elusive particle may point to undiscovered physics

Researchers confirm the original findings that suggested a significant discrepancy in the muon's magnetic field from the Standard Model prediction. This discovery may indicate the presence of an undiscovered type of fundamental physics, leading to further investigation into the nature of particles and forces.

SourceCornell University·JournalPhysical Review Letters·DateApr 13, 2021

Mounting hope for new physics

The Muon g-2 Collaboration has published the first result of its measurement, revealing a discrepancy of 4.2 standard deviations between experiment and theory. The result strengthens evidence for the existence of new physics, potentially indicating previously unknown particles or forces.

SourceJohannes Gutenberg Universitaet Mainz·JournalPhysical Review Letters·DateApr 7, 2021

The muon's magnetic moment fits just fine

Researchers estimated muon's magnetic field strength using a fully verified theory independent of experimental measurements. The result aligns with the standard model of particle physics, suggesting no need for new physics to explain the phenomenon.

SourcePenn State·JournalNature·DateApr 7, 2021

Micro-environmental influences on artificial micromotors

Researchers discovered how Janus particles relate to nearby barriers, showing velocities are influenced by physical properties of charged boundaries. This study could help engineer micromotors for complex biological environments, including drug delivery and nano-surgery.

SourceSpringer·JournalThe European Physical Journal E·DateMar 31, 2021

String theory solves mystery about how particles behave outside a black hole photon sphere

Researchers have solved a long-standing mystery about how particles behave outside a black hole's photon sphere using string theory. The study finds that string theory resolves singularities caused by tidal effects on nearby strings, supporting the idea of extended objects like strings as degrees of freedom in quantum gravity.

Shutting the nano-gate

Scientists at Osaka University fabricated nanopores in silicon dioxide that can prevent particles from entering by applying a voltage. The technology may enable the development of single-particle sensors and next-generation DNA sequencing technology.

SourceOsaka University·JournalCommunications Materials·DateMar 12, 2021

A monumental particle accelerator in the Cygnus Cocoon

The Cygnus Cocoon is found to be the most powerful of our galaxy's known natural particle accelerators, with photons recorded from energies up to one hundred teraelectronvolts. The HAWC observatory detected this phenomenon, suggesting that protons accelerated in stellar winds could be responsible for high-energy gamma photon emission.

Intriguing particles emerge when two photons couple

Scientists at University of Bath found a way to bind two photons together, creating photon-photon polaritons with predicted masses 1,000+ times lighter than electrons. This discovery has potential applications in terabit and quantum optical communication schemes and precision measurements.

SourceUniversity of Bath·JournalPhysical Review Research·DateMar 2, 2021

Machine learning improves particle accelerator diagnostics

A new machine learning system can correctly diagnose particle accelerator component issues in near-real-time, providing operators with actionable information to mitigate problems. The system achieved accuracy rates of 85% for fault detection and 78% for fault type identification during its first two-week test.

SourceDOE/Thomas Jefferson National Accelerator Facility·JournalPhysical Review Special Topics - Accelerators and Beams·DateJan 5, 2021

Scrambled supersolids

Scientists discovered a way to create supersolids using ultracold quantum gases, a state that exhibits both crystalline order and particle flow. The researchers found that by draining the superfluid bath, the droplets lose communication and behave like independent systems, but can be revived by replenishing the bath.

SourceUniversity of Innsbruck·JournalNature Physics·DateJan 4, 2021

Weak force has strong impact on nanosheets

Rice University scientists found that van der Waals force can indent rigid nanosheets, changing their electromagnetic properties. The researchers discovered that the force is sufficient to deform 8-nanometer-thick silver sheets into curvilinear structures with potential applications in nanophotonic research and catalytic systems.

SourceRice University·JournalNano Letters·DateDec 15, 2020

Sorting out viruses with machine learning

Researchers at Osaka University have created a label-free method for identifying respiratory viruses based on changes in electrical current through silicon nanopores. This new system uses machine learning to achieve highly accurate virus classification, with potential applications for COVID-19 and influenza diagnosis.

SourceOsaka University·JournalACS Sensors·DateNov 11, 2020

Understanding ghost particle interactions

Researchers at Argonne National Laboratory develop nuclear physics model to study neutrino interactions, shedding light on why neutrinos change flavors during space or matter travel. The team's findings are crucial for understanding the universe's matter-antimatter imbalance and fundamental questions about its origins.

SourceDOE/Argonne National Laboratory·JournalPhysical Review X·DateSep 28, 2020