A particle collision reconstructed using the new CMS machine-learning-based particle-flow (MLPF) algorithm. The HFEM and HFHAD signals come from the forward calorimeters, which measure energy from ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Master elastic collisions in 2D by learning the common pitfalls and their solutions! This video walks you through typical mistakes, step-by-step calculations, and strategies to correctly solve ...

The largest particle collider in the US, the Relativistic Heavy Ion Collider (RHIC), has completed its final particle collisions after a quarter-century, recreating the conditions of the early ...

Scientists have used a novel new approach to discover the potential origins of the sun goddess particle Amaterasu, the second most energetic cosmic ray ever to be detected striking Earth.

Every time two beams of particles collide inside an accelerator, the universe lets us in on a little secret. Sometimes it's a particle no one has ever seen. Other times, it's a fleeting glimpse of ...

An innovative algorithm for detecting collisions of high-speed particles within nuclear fusion reactors has been developed, inspired by technologies used to determine whether bullets hit targets in ...

Abstract: Many-particle charged-particle plasma simulations using spatial meshes for the electromagnetic field solutions, particle-in-cell (PIC) merged with Monte Carlo collision (MCC) calculations, ...

Tiny particles in turbulent flows-like those in the atmosphere, drug manufacturing, or engines- often cluster more than predicted. Scientists suspected a hidden process at play. Our research reveals ...