Publications
Publication Information
| Title | AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case |
| Authors | Evaristo Cisbani, Alessio Del Dotto, Cristiano Fanelli, Michael Williams, M. Alfred, Fernando Barbosa, Luca Barion, Vladimir Berdnikov, William Brooks, Tongtong Cao, Marco Contalbrigo, Samuel Danagoulian, A. Datta, Marcellinus Demarteau, A. Denisov, Markus Diefenthaler, A. Durum, D. Fields, Yulia Furletova, Colin Gleason, Matthias Grosse Perdekamp, Mohammad Hattawy, Xu-Gang He, Hubert Van Hecke, Douglas Higinbotham, Tanja Horn, Charles Hyde, Yordanka Ilieva, Grzegorz Kalicy, A. Kebede, B. Kim, Ming Liu, J. McKisson, Rodrigo Mendez Perez, Pawel Nadel-Turonski, Ian Pegg, Dmitry Romanov, Murad Sarsour, Cesar da Silva, J. Stevens, Xu Sun, S. Syed, Rusty Towell, Junqi Xie, Zhiwen Zhao, Benedikt Zihlmann, Carl Zorn |
| JLAB number | JLAB-PHY-20-3207 |
| LANL number | 1911.05797 |
| Other number | DOE/OR/23177-4986 |
| Document Type(s) | (Journal Article) |
| Associated with EIC: | No |
| Supported by Jefferson Lab LDRD Funding: | No |
| Funding Source: | Other |
| Other Funding: | DE-AC05-06OR23177 DE-FG02-94ER40818 |
|
Journal Compiled for Journal of Instrumentation Volume 15 Page(s) P05009 Refereed | |
| Publication Abstract: | Advanced detector R&D requires performing computationally intensive and detailed simulations as part of the detector-design optimization process. We propose a general approach to this process based on Bayesian optimization and machine learning that encodes detector requirements. As a case study, we focus on the design of the dual-radiator Ring Imaging Cherenkov (dRICH) detector under development as a potential component of the particle-identification system at the future Electron-Ion Collider (EIC). The EIC is a US-led frontier accelerator project for nuclear physics, which has been proposed to further explore the structure and interactions of nuclear matter at the scale of sea quarks and gluons. We show that the detector design obtained with our automated and highly parallelized framework outperforms the baseline dRICH design within the assumptions of the current model. Our approach can be applied to any detector R&D, provided that realistic simulations are available. |
| Experiment Numbers: | other |
| Group: | Hall A |
| Document: | |
| DOI: | https://doi.org/10.1088/1748-0221/15/05/P05009 |
| Accepted Manuscript: | 1911.05797.pdf |
| Supporting Documents: | |
| Supporting Datasets: | |