Detector simulation is a key component for studies on prospective future high-energy
colliders, the design, optimization, testing and operation of particle physics experiments, and …

Abstract Machine Learning techniques have been used in different applications by the HEP
community: in this talk, we discuss the case of detector simulation. The need for simulated …

This work establishes a scalable, easy to use and efficient approach for exploiting SIMD
capabilities of modern CPUs, without the need for extensive knowledge of architecture …

Making general particle transport simulation for high-energy physics (HEP) single-instruction-
multiple-thread (SIMT) friendly, to take advantage of accelerator hardware, is an important …

Detector simulation is consuming at least half of the HEP computing cycles, and even so,
experiments have to take hard decisions on what to simulate, as their needs greatly surpass …

Full detector simulation was among the largest CPU consumer in all CERN experiment
software stacks for the first two runs of the Large Hadron Collider (LHC). In the early 2010's …

The LHCb detector will be upgraded for the LHC Run 3 and will be readout at 30 MHz,
corresponding to the full inelastic collision rate, with major implications on the full software …

Monte Carlo simulations (MCS) represent a fundamental approach to modelling the photon
interactions in positron emission tomography (PET). A variety of PET-dedicated MCS tools …

Within the next decade, experimental High Energy Physics (HEP) will enter a new era of
scientific discovery through a set of targeted programs recommended by the Particle Physics …

The CMS full simulation using Geant4 has delivered billions of simulated events for analysis
during Runs 1 and 2 of the LHC. However, the HL-LHC dataset will be an order of …