Detector simulation is a key cornerstone of modern high energy physics. Traditional simulation tools are reliant upon Monte Carlo methods, which consume significant computational resources and are projected to be a major bottleneck at the high luminosity stage of the LHC and for future colliders. Calorimeter shower simulation has been a focus of fast simulation efforts, as it is particularly...
Generative machine learning models offer a promising way to simulate events. Given the already high computational cost of simulation and the expected increase in data in the high-precision era of the LHC and at future colliders, such fast surrogate simulators are urgently needed.
This contribution presents initial progress towards accurately simulating of hadronic showers in a highly...
An estimation of detector performance for future particle physics experiments relies both on prototypes tests and on detector simulation quality. Though the most used packages like Geant4 demonstrate quite good agreement, at percent level, for many observables, they are not perfect yet in the description of topological aspects of hadronic shower development, which are important for Particle...
A particle identification is an essential tool for precision measurements at the ILC. Recent development of the fast-timing Si sensors with a time resolution below 100 ps gives a possibility for the $\pi^{\pm}$, $K^{\pm}$, $p$ separation using time-of-flight measurements. In our study we use ILD as an example to test different potential placements of the fast-timing Si sensors for instance in...
Pico-sec timing reconstruction is one of the hot topics of the detector development. We are working on timing reconstruction in calorimeters with utilizing hits as many as possible to be averaged. It needs precise tracking in the calorimeters to precisely calculate flight length inside the calorimeters. Since the tracks in the calorimeters are much more complicated than those in trackers, deep...
