| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 02005 | |
| Number of page(s) | 7 | |
| Section | 2 - Offline Computing | |
| DOI | https://doi.org/10.1051/epjconf/202024502005 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024502005
New Developments in the VMC Project
1
Université Paris-Saclay, CNRS/IN2P3, IJCLab, 91405 Orsay, France
2
European Organization for Nuclear Research (CERN), Geneva, Switzerland
3
Ruprecht-Karls-Universitaet Heidelberg, Germany
* e-mail: ivana@ipno.in2p3.fr
Published online: 16 November 2020
Virtual Monte Carlo (VMC) provides a unified interface to different detector simulation transport engines such as GEANT3 and GEANT4. Since recently all the VMC packages (the VMC core library, also included in ROOT, and the GEANT3 and GEANT4 VMC) are distributed via the VMC Project GitHub organization. In addition to these VMC related packages, the VMC project also includes the Virtual Geometry Model (VGM), which is optionally used in GEANT4 VMC for conversion between GEANT4 and ROOT TGeo geometry models.
In this contribution we will present the new organization of the VMC project at GitHub and new developments in the VMC interfaces and the VMC packages. We will cover the introduction of the sensitive detector interface in the VMC core and both GEANT3 and GEANT4 VMC and the new GEANT4-related developments.
GEANT4 VMC 3.0 with the integration of multithreading processing was presented at CHEP in 2015. In this presentation we will report on new features included since this version: the improved support for magnetic fields, the integration of fast simulation, Garfield physics, GEANT4 transition radiation and monopole physics. Five new VMC examples demonstrating these new features, and serving also for tests, will be also discussed. Finally we will mention the work towards the code quality and improvements in testing, documentation and automated code formatting.
© The Authors, published by EDP Sciences, 2020
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