AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
AI-optimized detector design for the future Electron-Ion Collider: the dual-radiator RICH case
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DOI：
10.1088/1748-0221/15/05/p05009
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发表时间：
2019-11
影响因子：
1.3
通讯作者：
E. Cisbani;A. Dotto;C. Fanelli;Michael Williams;M. Alfred;F. Barbosa;L. Barion;V. Berdnikov;W. Brooks;T. Cao;M. Contalbrigo;S. Danagoulian;A. Datta;M. Demarteau;A. Denisov;M. Diefenthaler;A. Durum;D. Fields;Y. Furletova;C. Gleason;M. Grosse-Perdekamp;M. Hattawy;Xu-Gang He;H. Hecke;D. Higinbotham;T. Horn;C. Hyde;Y. Ilieva;G. Kalicy;A. Kebede;B. Kim;Ming Liu;J. McKisson;R. Mendez;P. Nadel-Turonski;I. Pegg;D. Romanov;M. Sarsour;C. Silva;J. Stevens;Xueshi Sun;S. Syed;R. Towell;Junqi Xie;Zhiwen Zhao;B. Zihlmann;C. Zorn
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文献类型：
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作者：
E. Cisbani;A. Dotto;C. Fanelli;Michael Williams;M. Alfred;F. Barbosa;L. Barion;V. Berdnikov;W. Brooks;T. Cao;M. Contalbrigo;S. Danagoulian;A. Datta;M. Demarteau;A. Denisov;M. Diefenthaler;A. Durum;D. Fields;Y. Furletova;C. Gleason;M. Grosse-Perdekamp;M. Hattawy;Xu-Gang He;H. Hecke;D. Higinbotham;T. Horn;C. Hyde;Y. Ilieva;G. Kalicy;A. Kebede;B. Kim;Ming Liu;J. McKisson;R. Mendez;P. Nadel-Turonski;I. Pegg;D. Romanov;M. Sarsour;C. Silva;J. Stevens;Xueshi Sun;S. Syed;R. Towell;Junqi Xie;Zhiwen Zhao;B. Zihlmann;C. Zorn
先进探测器的研发需要执行计算密集型和详细的模拟，作为探测器设计优化过程的一部分。我们提出了一种基于贝叶斯优化和编码检测器要求的机器学习的通用方法。作为一个案例研究，我们重点关注正在开发的双辐射器环形成像切伦科夫 (dRICH) 探测器的设计，作为未来电子离子对撞机 (EIC) 粒子识别系统的潜在组件。 EIC是美国主导的核物理前沿加速器项目，旨在进一步探索海夸克和胶子尺度的核物质的结构和相互作用。我们表明，在当前模型的假设范围内，使用我们的自动化和高度并行化框架获得的检测器设计优于基线 dRICH 设计。只要可以进行真实的模拟，我们的方法就可以应用于任何探测器的研发。
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.