Geant4 - A Simulation Toolkit
By S. Dev. 2019
1,446 citations recorded by the source corpus.
Subfields: AI for Physical Sciences
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In AI for Physical Sciences
- Atlas Collaboration
- Pierre Baldi
- S. Zambito
- Benjamin Nachman
- Kyle Cranmer
- J. A. Aguilar-Saavedra
- Luke de Oliveira
- George Papamakarios
Citations in the corpus
- Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis (2017, methodology): “These full simulations are based on the Geant4 package [14] and are time 1 and CPU intensive, a significant challenge given that O (10 9 ) events/year must be simulated.”
- FASER’s physics reach for long-lived particles (2018, methodology): “[106] GEANT4 Collaboration, S.”
- Test of lepton universality with B0 → K*0ℓ+ℓ− decays (2017, methodology): “are implemented using the Geant4 toolkit [45, 46] as described in ref.”
- Angular analysis of B d 0 → K∗μ+μ− decays in pp collisions at s√=8 TeV with the ATLAS detector (2018, methodology): “simulation program based on Geant 4 [25, 26] and reconstructed in the same way as data.”
- Search for electroweak production of supersymmetric particles in final states with two or three leptons at \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\odd (2018, methodology): “The samples include an ATLAS detector simulation [34], based onGeant4 [35], or a fast simulation [34] that uses a parameterization of the calorimeter response [36] and Geant4 for the other parts of the detector.”
- Electron reconstruction and identification in the ATLAS experiment using the 2015 and 2016 LHC proton-proton collision data at $\sqrt{s}$ = 13 TeV (2019, methodology): “All samples were processed with the Geant4-based simulation [20,21] of the ATLAS detector.”
- Searching for long-lived particles beyond the Standard Model at the Large Hadron Collider (2019, background): “The propagation of both LLPs with color charge (in the form of R-hadrons) and electrically charged LLPs can be implemented in the Geant4 (G4) toolkit [231].”
- Search for additional heavy neutral Higgs and gauge bosons in the ditau final state produced in 36 fb$^{-1}$ of $pp$ collisions at $\sqrt{s}$ = 13 TeV with the ATLAS detector (2017, methodology): “Each sample was simulated using the full Geant 4 [115, 116] simulation of the ATLAS detector, with the exception of the b-associated MSSM Higgs boson signal, for which the AtlfastII [117] fast simulation framework was used.”
- Study of the rare decays of Bs0 and B0 mesons into muon pairs using data collected during 2015 and 2016 with the ATLAS detector (2018, methodology): “The ATLAS detector and its response were simulated using Geant4 [23, 24].”
- Volume I. Introduction to DUNE (2020, methodology): “The expected performance of the calorimeter was studied with Geant4-based [124] simulations and GArSoft [125].”
- Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows (2018, background): “Such simulator models lend themselves naturally to modelling mechanistic processes such as particle collisions in high energy physics [1, 71], universe evolution in cosmology [2, 67], stochastic dynamical systems in ecology and evolutionary biology [64, 65, 84, 85], macroeconomic models in…”
- Search for exclusive Higgs and Z boson decays to ϕγ and ργ with the ATLAS detector (2017, methodology): “The simulated events are passed through the detailed GEANT4 simulation of the ATLAS detector [57, 58] and processed with the same software used to reconstruct the data.”
- Combined search for electroweak production of charginos and neutralinos in proton-proton collisions at $\sqrt{s} =$ 13 TeV (2018, methodology): “The response of the CMS detector for SM background samples is simulated using a Geant4based model [85], while that for new physics signals is performed using the CMS fast simulation package [86].”