Articles tagged with Particle Accelerators
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.
Researchers at FSU improved Bi-2212 wires' efficiency by optimizing grain alignment, enabling higher current carrying and more efficient supercurrent flow. This breakthrough has the potential to power next-generation particle accelerators.
The LHCb experiment has probed the nature of physics for ten years, examining CP violation and symmetry between matter and antimatter. The review highlights its achievements in studying heavy quarks and their interactions, shedding light on the universe's fundamental questions.
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.
The Muon g-2 experiment has shown fundamental particles behaving in a way not predicted by the Standard Model of particle physics. Researchers have confirmed discrepancies that have been gnawing at scientists for decades.
Physicists at CERN have demonstrated laser cooling of antihydrogen atoms for the first time, producing colder antimatter and enabling new experiments. The temperature of the antihydrogen atoms was reduced, slowing them down and reducing their space in a magnetic bottle.
Scientists confirm detection of high-energy antineutrino event by IceCube Neutrino Observatory, a phenomenon predicted by Nobel laureate physicist Sheldon Glashow in 1960. The discovery provides evidence for the Standard Model of particle physics and sheds light on extreme cosmic events.
Researchers at the University of Granada and Johannes Gutenberg University Mainz have proposed a new heavy particle with properties similar to the Higgs boson. This particle is expected to play a fundamental role in explaining the origin of dark matter, which could solve two major problems in theories of particle physics.
Scientists have uncovered a gigantic cosmic particle accelerator after tracing a ghostly neutrino back to a shredded star. The detection provides evidence that tidal disruption events can be powerful natural particle accelerators.
A Berkeley Lab team successfully simulated a complex aspect of particle collisions using a quantum algorithm, accounting for neglected quantum effects. The researchers' approach meshes quantum and classical computing, allowing for efficient resources and improved accuracy.
Researchers from Goethe University found that aerosol particle formation by iodic acid occurs rapidly in the Arctic atmosphere, potentially leading to increased cloud cover and warming. This discovery has implications for climate models and may help improve predictions for polar regions.
UK scientists have started production of key equipment for the international Deep Underground Neutrino Experiment (DUNE), a particle physics experiment studying elusive particles called neutrinos. The detectors will capture neutrino interactions in a liquid argon gas detector, with 150 APAs built with millimeter precision.
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.
Jefferson Lab has shipped the final new section of accelerator, called a cryomodule, for an upgrade of the Linac Coherent Light Source (LCLS) at SLAC National Accelerator Laboratory. The upgraded machine will accelerate electrons at superconducting temperatures to generate 1 million X-ray laser pulses per second.
The book Mare Plasticum delves into the devastating effects of plastics and microplastics on marine environments. It aims to change society's consciousness towards more responsible behavior, highlighting urgent need for action.
The University of Kansas has formed a new research team to participate in the ALICE experiment at the Large Hadron Collider, exploring unique opportunities for physics research. The team will study the initial state of QCD matter and probe quantum entanglement with a novel technique.
Auralee Edelen's work uses machine learning to streamline particle accelerator operations, while Wai Ling Wu explores mysteries in astrophysics and cosmology. The Panofsky Fellowship provides funding for five years of research.
A team of researchers at DESY has achieved a record-breaking run time of 30 hours for a plasma accelerator, accelerating over 100,000 electron bunches per second. The milestone brings scientists closer to developing practical applications of this innovative technology, which holds promise for powerful and compact particle accelerators.
Researchers from University of Cincinnati and Fermi National Accelerator Laboratory failed to detect sterile neutrinos in twin experiments, increasing doubts about their existence. The study's findings suggest that sterile neutrinos might not be responsible for previously observed anomalies.
The Argonne team has created a machine learning algorithm that approximates how the present detector would respond to the greatly increased data expected with the LHC upgrade. This algorithm simulates detector responses and reconstructs objects from physical processes, enabling faster and more accurate analysis of particle collisions.
Researchers at SISSA and ICTP used atomic physics experiments to simulate the Schwinger model, a gauge theory that describes particle interactions. This study confirms the potential of quantum simulators to investigate fundamental forces and could lead to simulations of complex systems.
Physicists led by Rene Bellwied aim to understand the role of 'dark' matter in the universe's evolution. The team will analyze data from international experiments STAR and ALICE to study the transition from quark-gluon plasma to existing particles.
Rice University researchers are receiving $3 million to upgrade sensors for the Large Hadron Collider. The upgrades will enable the collider to discover even deeper truths about elemental matter. The research team is responsible for designing and managing the installation of next-generation sensors in the Compact Muon Solenoid.
The Columbia University-led team will design, build and test key electronic components for the ATLAS system to enhance its capabilities. The high-luminosity LHC upgrade is expected to increase collisions by a factor of 10, enabling scientists to collect data more efficiently and analyze new particles.
Researchers from Argonne National Laboratory and CERN studied the neutron-shell structure of a nucleus with fewer protons than lead and more neutrons than 126, revealing new insights into heavy element formation. This study informs models of stellar events and the early universe.
A team of Berkeley Lab cosmologists, led by George Stein and Uros Seljak, developed a code that best identified a mock signal hidden in simulated particle-collision data. Their efficient machine learning tool, called sliced iterative optimal transport, can run on a simple desktop or laptop computer.
A miniature double particle accelerator has been built by DESY scientists, recycling some of the laser energy to boost the electrons' energy a second time. The device uses terahertz radiation and achieved an increase in electron energy from 55 to 56.5 kilo electron volts.
Researchers have successfully demonstrated ionization cooling of muons, a key innovation for the development of the world's most powerful particle accelerator. The achievement marks a significant milestone in advancing our understanding of fundamental constituents of matter.
Researchers at PSI measured a property of the neutron more precisely than ever before, finding it has a significantly smaller electric dipole moment. This challenges the long-held assumption that this dipole moment could help explain the excess of matter in the universe.
Dr Johann Rafelski reviews decades of work on quark-gluon plasma, exploring strangeness production and discovery methods. He highlights the evolution of understanding this primordial material, which once filled the Universe, and the ongoing experimental efforts to recreate it.
Scientists explore how dark matter influences antimatter, searching for clues that could link the two aspects of the universe. They use captured antiprotons to detect changes in spin precession frequency, which could indicate dark matter's presence.
Etalumis, a probabilistic programming framework, has been developed to control existing simulators and run on large-scale HPC platforms. It enables researchers to interpret vast volumes of experimental data by essentially 'reversing' simulations, bringing new insights into complex physics problems.
Ari Deibert Palczewski, a staff scientist at Jefferson Lab, has been awarded a DOE Early Career Research Program grant to develop a theoretical model of accelerator preparation. He aims to build on previous discoveries about doping niobium with nitrogen and create a mathematical model of the process.
The US ATLAS Phase I Upgrade enables the detection of rare processes and sheds light on dark matter, dark energy, and antimatter asymmetry. The upgrades improve the trigger/data acquisition system, liquid argon calorimeter, and forward muon detector, allowing for more efficient data collection and analysis.
Researchers expect to greatly enhance measuring accuracy by developing a transportable trap for transporting antiprotons from CERN to Mainz. The project aims to measure fundamental properties of antiprotons with high precision, searching for differences between protons and antiprotons.
New findings from the University of Kansas shed light on the behavior of gluons in protons. The researchers used ultra-peripheral collisions to study the energy and dipole sizes needed for gluon saturation, a hypothesized phase of matter thought to exist in high-energy protons.
Scientists at Fermilab have achieved the highest magnetic field strength ever recorded for an accelerator steering magnet, reaching 14.1 teslas. The success is crucial for future high-energy hadron colliders that require even stronger magnets to accelerate protons to higher energies.
Researchers at KIT develop innovative accelerator technologies with €3 million funding, enabling new discoveries in biology, medicine, and materials science. The project focuses on developing special magnets, radiation diagnosis systems, and plasma accelerators for cutting-edge research applications.
Scientists at DESY achieved a new world record for an experimental type of miniature particle accelerator using terahertz-powered technology. The setup significantly improved electron beam quality, reducing energy spread and increasing emittance sixfold.
Researchers at DESY and the University of Hamburg achieved an important milestone in compact particle accelerator development. They produced high-energy terahertz pulses using ultra-powerful laser pulses, paving the way for new applications in fields like particle physics and nanomaterials research.
Professor Patrizio Antici's In-Air PIL technique analyzes chemical composition and crystal characteristics of artworks, reducing complexity and costs. The method has potential applications in cultural heritage conservation and material science.
Researchers from MIPT and Ioffe Institute discover Weyl semimetals as ideal gain media for lasers, eliminating Auger recombination. This breakthrough could lead to more efficient lasers in the visible and infrared range, and even terahertz applications.
A team of physicists from the University of Kansas is studying gluon saturation, a phenomenon where standard equations describing proton structure don't apply. They aim to better understand how nucleons and nuclei form using quantum chromodynamics.
Researchers have developed a technique to miniaturize plasma wakefield acceleration, allowing for the creation of compact, high-energy particle accelerators. This technology has the potential to revolutionize particle accelerator design and enable smaller, more accessible facilities.
Tomasz Skwarnicki and his team have analyzed data from the Large Hadron Collider beauty experiment at CERN, discovering three never-before-seen pentaquarks. The findings suggest that pentaquarks are built in a similar way to protons and neutrons, potentially affecting models of matter in other parts of the universe.
Researchers at Syracuse University's HEP group have measured a 99.999-percent certainty difference in the decay of D0mesons and anti-D0 mesons, revealing asymmetry between matter and antimatter containing charmed quarks. This finding may indicate new physics beyond the Standard Model.
Researchers from HSE and Yandex developed a method to speed up LHC simulation using Generative Adversarial Networks. The approach accurately predicts the behavior of charged elementary particles, enabling faster analysis of experimental data.
Physicists have made a slight improvement to the ATLAS experiment's measurement, but results are nearly consistent with the standard model. Despite this, researchers remain hopeful that future data may reveal new physics or dark matter particles.
Researchers at SLAC National Accelerator Laboratory found that twisted magnetic field lines in black holes create the most powerful particle accelerators in the universe. This process can accelerate electrons and protons to extreme energies, resulting in cosmic rays with unprecedented powers.
The University of Copenhagen has received a grant to upgrade its ALICE and ATLAS detectors, allowing for increased collisions and the discovery of new particles. The upgrades aim to unveil the remaining 95% of the universe's substances, which are currently provisionally understood.
Researchers from Lund University have developed a more effective technique to search for dark matter in the universe. By analyzing larger amounts of data generated at CERN, they hope to find signs of new particles that could connect visible and dark matter.
Researchers at the Niels Bohr Institute have obtained new results using Xenon-ions in the LHC, recreating the initial conditions of the universe at extremely high temperatures. The experiments reveal that the primordial matter behaves like a liquid, with quarks and gluons being quasi-free, challenging theoretical models.
A team of physicists has achieved a groundbreaking experiment accelerating electrons to high energies using a new method called plasma wakefield acceleration. This technology has the potential to drastically reduce the size and cost of future particle accelerators.
Researchers analyzed experiments at major particle accelerators, shedding new insights into the mechanism of cooling and freeze-out of quark-gluon plasma into current constituents. The study found a critical temperature of 156 MeV for the phase transition, confirming theoretical predictions.
The largest liquid-argon neutrino detector has recorded its first particle tracks, signaling a major breakthrough in the Deep Underground Neutrino Experiment (DUNE). The ProtoDUNE detector will be used to unlock the mysteries of neutrinos and study their behavior.
The largest liquid-argon neutrino detector has recorded its first particle tracks, signaling the start of a new chapter in DUNE's scientific mission to unlock neutrino mysteries. Scientists will operate the detector over several months to test technology and gather data for future research.
Researchers created innovative methods to leverage machine learning in data analysis for the LHC, improving discovery potential for new physics. The techniques build on simulations, enabling data scientists to extract insights from complex phenomena.
Researchers will continue work on the Higgs boson, Standard Model, and hunt for new phenomena in physics. They aim to understand mass as an 'agent of mass,' crucial for fundamental particles like electrons and quarks.
NYU is part of IRIS-HEP, a National Science Foundation-backed coalition developing next-generation cyberinfrastructure for high-energy physics research. The institute aims to drive innovations in data analysis and algorithms essential to handling massive LHC data.
The NSF Institute for Research and Innovation in Software for High-Energy Physics (IRIS-HEP) will tackle the unprecedented data challenges from the HL-LHC. The institute aims to develop innovative software tools and train the next generation of users to analyze large sets of data.