Geometry optimization for long-lived particle detectors

• Published in: Journal of instrumentation Vol. 18; no. 9; p. P09012
• Main Authors: Gorordo, Thomas, Knapen, Simon, Nachman, Benjamin, Robinson, Dean J., Suresh, Adi
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.09.2023
• Subjects: Algorithms; Apexes; Computational efficiency; Large detector systems for particle and astroparticle physics; Optimization; Particle tracking detectors; Radiation counters; Surface area
• ISSN: 1748-0221; 1748-0221
• DOI: 10.1088/1748-0221/18/09/P09012

The proposed designs of many auxiliary long-lived particle (LLP) detectors at the LHC call for the instrumentation of a large surface area inside the detector volume, in order to reliably reconstruct tracks and LLP decay vertices. Taking the CODEX-b detector as an example, we provide a proof-of-concept optimization analysis that demonstrates the required instrumented surface area can be substantially reduced for many LLP models, while only marginally affecting the LLP signal efficiency. This optimization permits a significant reduction in cost and installation time, and may also inform the installation order for modular detector elements. We derive a branch-and-bound based optimization algorithm that permits highly computationally efficient determination of optimal detector configurations, subject to any specified LLP vertex and track reconstruction requirements. We outline the features of a newly-developed generalized simulation framework, for the computation of LLP signal efficiencies across a range of LLP models and detector geometries.