A team of scientists has devised a machine learning algorithm that calculates, with low computational time, how the ATLAS detector in the Large Hadron Collider would respond to the ten times more data ...

Emerging from the collision: a snapshot from the simulation at γ = 10, showing the two colliding particles forming a black hole. (Courtesy: Phys. Rev. Lett.) New simulations of head-on collisions 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 ...

Particle accelerators reveal the heart of nuclear matter by smashing together atoms at close to the speed of light. The high-energy collisions produce a shower of subatomic fragments that scientists ...

A simulation of a particle collision as seen by the Large Hadron Collider’s CMS experiment. CERN It was more than eight months and a week ago when Joe Incandela, the spokesperson for one of the ...

Physicists have started running the world's largest particle accelerator at a new record energy and taking the first data from these ultra-powerful collisions. Protons zoom around the 17 mile (27 ...