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THOR: Driving collaboration in heavy-ion collision research

The THOR COST Action has enabled a large collection of papers on hot matter and relativistic heavy-ion collisions, thanks to extensive collaborations between researchers. Through the project, over 300 physicists have improved their methods by exchanging ideas and results.

SourceSpringer·JournalThe European Physical Journal A·DateJun 2, 2021

Awake brings proton bunches into sync

Scientists at Max-Planck-Gesellschaft report a breakthrough in plasma wakefield acceleration technology. They successfully timed the production of proton microbunches that drive a wave in the plasma, fulfilling an important prerequisite for using Awake technology in collision experiments.

SourceMax-Planck-Gesellschaft·JournalPhysical Review Letters·DateApr 30, 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.

Investigating heavy quark physics with the LHCb experiment

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.

SourceSpringer·JournalThe European Physical Journal H·DateApr 15, 2021

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

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

Mare Plasticum - The Plastic Sea

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.

Physicists cast doubt on neutrino theory

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.

SourceUniversity of Cincinnati·JournalPhysical Review Letters·DateAug 11, 2020

Making a 'strange' discovery

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 insight gives Large Hadron Collider better eyesight

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.

Tracking down the mystery 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.

SourcePaul Scherrer Institute·JournalPhysical Review Letters·DateFeb 28, 2020

Exploring strangeness and the primordial 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.

SourceSpringer·JournalEPJ Techniques and Instrumentation·DateJan 31, 2020

Artificial intelligence learns to predict elementary particle signals

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.

SourceNational Research University Higher School of Economics·JournalNuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment·DateMar 14, 2019

Scientists refine the search for dark matter

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.

SourceLund University·JournalPhysical Review Letters·DateOct 29, 2018