| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01112 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701112 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701112
Updating the software description of the ATLAS Detector
1 University of Pittsburgh, 3941 O’Hara St, Pittsburgh, PA 15260, US
2 University of Massachusetts, 710 North Pleasant Street, Amherst, MA 01003-9337, US
3 CERN, 1211 Genève 23, Switzerland
4 Charles University, Ke Karlovu 2027/3, 121 16 Nové Meˇsto, Czechia
5 Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, US
* Corresponding author, e-mail: riccardo.maria.bianchi@cern.ch
Published online: 7 October 2025
The software description of the ATLAS detector is based on the GeoModel toolkit, developed in-house for the ATLAS experiment but released and maintained as a separate package with few dependencies. A compact SQLite-based exchange format permits the sharing of geometrical information between applications, including visualization, clash detection, material inventory, database browsing, and lightweight full simulation. ATLAS simulation, reconstruction, and other elements of standard ATLAS offline workflows are now being adapted to ingest the geometry files, which are prepared using platformindependent modular geometry plugin code. This represents a major transformation of the ATLAS detector description software, impacting even the development procedures for which new roles have been invented. During these integration activities, both the GeoModel geometry kernel and the GeoModel toolkit have seen improvements, including volume calculation, material blending, helper classes for simpler memory management, and a richer collection of supported geometrical objects. This paper reports on these activities.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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