Dr. Kevin J. Kelly, an assistant professor at Texas A&M University, has received the Henry Primakoff Award for Early-Career Particle Physics for his significant contributions to neutrino physics and proposing novel directions for dark matter research. He will deliver an invited lecture on his research at a future APS meeting.
The University of Texas at Arlington has been awarded a $1.5 million grant from the National Science Foundation to train scientists in space physics and data science. The grant will also enable UTA to create a specialization in space physics for students pursuing a Bachelor of Science in physics.
Four Jefferson Lab staff members have been named APS Fellows for their exceptional contributions to physics, including innovative particle accelerator design and world-leading research on quarks. The American Physical Society recognizes fellows who have made significant impacts on the field of physics.
Researchers discovered significant differences in charging properties and particle dynamics of Chang'e-5 samples under high-vacuum conditions. The findings suggest new methods for controlling lunar particles, crucial for dust elimination and mineral enrichment in space applications.
A team of researchers from Shibaura Institute of Technology developed a moving particle simulation-aided soil plasticity analysis for earth pressure balance shield tunnelling. The study found that earth pressure is a reliable indicator for analyzing soil plasticity and proposed a computer-aided analysis system that precisely reflects e...
Researchers Nikolaos Kidonakis and Marco Guzzi have received a third joint NSF grant to continue their study of the Higgs boson, top quark, and proton. The grant supports the university's focus on undergraduate research and advances the field of theoretical particle physics.
A new study introduces a faster approach to analyzing scattered light, enabling real-time monitoring of medication manufacturing. The technique reduces reconstruction time from 15 seconds to 0.25 seconds and offers a low-cost non-invasive particle size probe for efficient production.
Debaditya Biswas combines different particle identification methods with machine learning to detect muons hidden in a sea of pions. He plans to simulate reactions and assess the viability of various techniques, including traditional PID, PSD, and machine learning, to optimize muon detection for future experiments.
Researchers have introduced a novel particle encoding mechanism that addresses longstanding issues in particle identification, enabling precise digital representation of complex particles. This new method is adaptable for future discoveries and has the potential to unlock new frontiers in particle physics.
Researchers develop an unsupervised deep learning-based method to reconstruct particle distribution in Tomographic PIV, achieving superior performance over traditional methods. The new technique demonstrates potential for practical applications in high-density particle fields and high-velocity flow fields.
A team of researchers from Chiba University successfully measured the interaction rates of high-energy electron and muon neutrinos using the FASERν detector at the Large Hadron Collider. The study marked the first direct observation of these interactions at a particle collider, providing new insights into particle physics.
Dr. Wencai Liu, an associate professor at Texas A&M University, has been selected for the 2024 IUPAP Early Career Scientist Prize in Mathematical Physics. His research focuses on linear and nonlinear Schrodinger equations, contributing to our understanding of quantum mechanics and its applications.
Physicists and engineers are exploring magnetrons as drivers of high-performance particle accelerators to reduce their carbon footprint and enable future industrial applications. Magnetrons, originally designed for microwave ovens, have the potential to lower production costs and improve efficiency in various industries.
Researchers at Imperial College London have successfully demonstrated muon-marshalling technology, a key step towards building a muon collider. The breakthrough enables more efficient high-energy collisions, revolutionizing particle accelerator research and potential applications.
Studies published in Crystal Growth & Design highlight the suite's ability to visualize and quantify chemical and topological information from crystallographic data. This approach can reduce trial-and-error methods, providing data-driven guidance for formulators and particle engineers.
The study found that Ni particle size influences CO2 activation pathways, with smaller particles favoring direct dissociation and larger particles favoring hydrogenation dissociation. Larger particles also show superior resistance to carbon formation.
Researchers at University of Konstanz shape electron matter wave into left- or right-handed coils of mass and charge. This achievement has implications for fundamental physics and potential applications in quantum optics, particle physics, and electron microscopy.
A team of physicists from Poland and Germany have successfully calculated the cross-section for Higgs boson production in gluon-gluon collisions. The calculations suggest that no new physics factors are present in the Higgs boson particle.
A new strategy to create porous ceramic supports with high mechanical strength and porosity has been developed by researchers. The strategy, known as reverse particle grading, involves introducing coarse particles into fine particles to distribute stress and prevent crack formation.
The study improves the plasticity of oxide ceramic green bodies by adding glycerol and polyethylene glycol to the PIBM gel system. The addition of these water-soluble plasticizers influences the interaction between PIBM molecules, modifying the gel network structure and alleviating particle contact.
The BESIII experiment has made the first measurements of the quantum numbers of X(2370), a particle consistent with a glueball. The study confirms the existence of glueballs, a crucial test of the Standard Model, and provides strong experimental evidence.
Researchers at UTA used ultra-high energy neutrino particles to search for signatures of quantum gravity, but found no evidence of expected quantum gravitational effects. This non-observation represents a powerful statement about the still-unknown physics operating at the interface of quantum physics and general relativity.
Zhite Yu has been awarded the 2024 J.J. and Noriko Sakurai Dissertation Award in Theoretical Particle Physics for his novel and outstanding doctoral thesis work. He studied the proton's interior using electron-scattering processes and proposed two new methods to overcome limitations, which can provide more information about partonic st...
Researchers study lithium-8 and boron-8 mirror nuclei to understand the weak nuclear force, achieving highest precision of their kind. The results confirm Standard Model predictions with increased confidence.
Researchers have made groundbreaking measurements of the electron capture of the artificial isotope holmium-163, which allows them to determine a Q value for the decay process. This enabled them to measure the neutrino mass with unprecedented precision using a super-sensitive scale and detector.
Scientists used a neural network to analyze massive particle collision data from the ATLAS detector, marking the first use of this technique in a collider experiment. The method identified an anomaly that may indicate the existence of an undiscovered particle.
Scientists uncovered insights into pre-industrial aerosol formation processes in an environment with minimal human influences. Researchers observed the release of highly oxygenated organic molecules at night, leading to aerosol particle formation resembling the pre-industrial atmosphere.
Researchers have discovered a rare dust particle trapped in an ancient meteorite that formed from a star other than the sun. The particle contains exceptionally high levels of magnesium isotopes, which can only be explained by formation in a hydrogen-burning supernova.
A Rice University team, led by Wei Li, has received a $15.5 million grant to develop an ultra-fast silicon timing detector for the CMS experiment at the LHC. This technology will enable breakthrough science in heavy ion collisions and provide insights into the strong nuclear force.
Researchers from the Institute of Nuclear Physics propose using AI to reconstruct particle tracks, which will be crucial for experiments finding new physics. The proposed method uses a deep neural network trained on simulated data and achieves accurate results comparable to classical algorithms.
Researchers identified the origin of a discrepancy between experimental and theoretical values of the muon's magnetic moment. The study found that lattice QCD and electron-positron collision data disagree, highlighting the need to resolve this puzzle.
Topological solitons are created in a robotic metamaterial and move through the chain without needing 'reset' thanks to non-reciprocal interactions. This breakthrough could lead to advancements in robotics, sensing, and communication.
The Rensselaer Polytechnic Institute researcher is working with the Tachyon Project to create surrogate machine learning models that can simulate and analyze particle physics data in real-time. This project aims to improve scientific discovery and workflow performance for scientists at Fermilab and ALCF.
Researchers found that compact lignin nanoparticles with specific chemical structures and particle sizes boost the UV resistance of sunscreens, making them more effective than traditional formulations. The study suggests that lignin nanoparticles can be used as natural-based materials for improving sun protection in cosmetic applications.
Scientists at Argonne National Laboratory have developed a nanocryotron, a prototype for an on-off switch that can amplify weak electrical signals from tiny particles in collider experiments. The device could help facilitate the operation of new particle colliders and improve the accuracy of observations.
Researchers developed imaging technique with 800nm spatial resolution to measure three-dimensional temperature distribution inside industrial zeolite-catalyst particles. The technique revealed utilization of active sites and evolutions of reaction intermediates during MTO reactions.
Stanford researchers have successfully accelerated and steered electrons at the microchip scale using silicon dielectric laser accelerators. This breakthrough enables the creation of tiny linear accelerators that could rival larger systems, with potential applications in medical treatments such as targeted cancer therapies.
Researchers at Purdue University have discovered a new type of emergent particle, the six-flux composite fermion, which explains rare quantum states in host materials. This discovery expands our understanding of topological electron physics and has significant implications for the ordering of known fractional quantum Hall states.
Researchers at Hiroshima University have found that quantum systems exhibit contextual behavior, where measurements change the results, rather than particles separating from their properties. This discovery sheds light on the counterintuitive nature of quantum mechanics and may lead to practical applications in quantum computing.
A new study places the likelihood of massive neutron stars having deconfined quark matter at 80-90%. This is made possible through Bayesian statistical inference and massive supercomputer runs. The research has implications for our understanding of particle and nuclear physics, as well as astrophysics.
Researchers developed a new approach to improve particle-reinforced rubber's fatigue threshold by increasing polymer chain length and entanglement density. This multiscale stress deconcentration method increases the material's resistance to crack growth under repeated stretching, reducing pollution from shed rubber particles.
Researchers at MIT recreate a 'quantum bomb tester' using bouncing droplets, finding that the droplet's classical dynamics give rise to similar statistical behavior as predicted by quantum mechanics. The study bridges the gap between two realities, offering insight into quantum behavior from a local realist perspective.
The Particle Physics Project Prioritization Panel (P5) report recommends budget-conscious investments in high-energy physics research. The US government will support the Large Hadron Collider, Deep Underground Neutrino Experiment, CMB-S4, and IceCube-Gen2 facilities for transformative discoveries related to fundamental physics.
Researchers from Eötvös Loránd University have mapped the space-time geometry of quark matter using femtoscopy techniques. This study sheds light on the strong interaction governing quark matter and atomic nuclei, a fundamental area still in its early stages.
A team of researchers has detected an extremely energetic cosmic ray with an energy exceeding ~240 exa-electron volts (EeV), but its arrival direction shows no obvious source. The detection was made by the Telescope Array experiment's surface detector, which is located in Utah, USA.
Researchers detect ultra-high-energy cosmic ray with an energy level comparable to the 'Oh-My-God' particle, raising questions about its origins. The Amaterasu particle's unusual properties are being further investigated through upgraded experiments and next-generation observatories.
The Telescope Array has detected the second-highest energy cosmic ray ever observed, with an energy equivalent to dropping a brick on your toe from waist height. The Amaterasu particle deepens the mystery of ultra-high-energy cosmic rays, which may follow particle physics unknown to science.
This article reviews the fundamentals and applications of optically trapped optical nanoparticles, highlighting their use in optical imaging, sensing, and single-particle scanning. Key findings include advances in plasmonic, lanthanide-doped, polymeric, semiconductor, and nanodiamond nanoparticles.
The University of Texas at Arlington's Nuclear Research Experiences for Minority Students (NREMST) program provides paid traineeships in particle and nuclear physics to undergraduate students. The program, now receiving a $341,571 grant, has already hosted eight trainees who contributed to heavy ion beam production, detector developmen...
Researchers from SLAC National Accelerator Laboratory and Stanford University propose the Cool Copper Collider, a next-generation accelerator that could probe elementary particle physics at higher energy scales. The proposal aims to reduce energy consumption by up to 50% through improved design and materials.
A French team of researchers has developed a method to produce stable polystyrene dispersions with unprecedentedly large and uniform particle sizes. The team used light-driven processes, overcoming the previous 300-nanometer ceiling limit of UV and blue-light-based photopolymerization systems.
A new property evaluation method for nanoparticles' shape anisotropy has been developed using deep learning, achieving classification accuracy of approximately 80% on single particle basis. This breakthrough solves a long-standing issue in nanoparticle evaluation dating back to Einstein's time.
A team of researchers from FAU and Stanford University has demonstrated the first nanophotonic electron accelerator, accelerating electrons using a nano device. The breakthrough marks a significant step towards creating smaller, more efficient particle accelerators for medical applications.
Researchers detected a high-energy particle event on the surfaces of Earth, Moon, and Mars, marking the first Ground Level Enhancement (GLE) on three planetary bodies. The study found that future humans may face significant radiation risks during approximately one out of every five Solar Energetic Particle events.
Researchers at Moffitt will develop novel targeted alpha-particle therapies for uveal melanoma and other rare melanomas. The grant will fund projects aimed at advancing the therapy's efficacy and personalizing its treatment.
Researchers at the University of Adelaide have uncovered new clues in the quest for understanding dark matter, a mysterious substance making up 84% of the universe's mass. The study suggests that the dark photon hypothesis is preferred over the standard model hypothesis, providing evidence for a potential particle discovery.
FRIB is using machine learning to accelerate nuclear physics experiments, simulations, and data analysis. The initiative aims to shorten the timeline for experimental discovery and improve the efficiency of facility processes.
A new study confirms that roadside hedges can dramatically reduce air pollution around schools by soaking up ultrafine particles emitted by traffic. Hedges have been found to act as protective barriers, capturing and filtering out harmful particles.
A novel inequality defines the limit of heat current flowing into a quantum system as its size increases, showing a cubic relationship with particle count. The study identifies superradiance as the most efficient mechanism for achieving this fundamental limit.
Researchers have finally found Pines' demon, a massless and neutral composite particle predicted to exist in certain metals. They used a nonstandard experimental technique that directly excites a material's electronic modes, allowing them to see the demon's signature in strontium ruthenate.