Design of detectors at the electron ion collider with artificial intelligence

Fanelli, C.

doi:10.1088/1748-0221/17/04/c04038

Design of detectors at the electron ion collider with artificial intelligence

Journal Article · Fri Apr 01 04:00:00 EDT 2022 · Journal of Instrumentation

DOI:https://doi.org/10.1088/1748-0221/17/04/c04038· OSTI ID:1979435

Fanelli, C. ^[1]

OSTI

Abstract

Artificial Intelligence (AI) for design is a relatively new but active area of research across many disciplines. Surprisingly when it comes to designing detectors with AI this is an area at its infancy. The electron ion collider is the ultimate machine to study the strong force. The EIC is a large-scale experiment with an integrated detector that extends for about ±35 meters to include the central, far-forward, and far-backward regions. The design of the central detector is made by multiple sub-detectors, each in principle characterized by a multidimensional design space and multiple design criteria also called objectives. Simulations with Geant4 are typically compute intensive, and the optimization of the detector design may include non-differentiable terms as well as noisy objectives. In this context, AI can offer state of the art solutions to solve complex combinatorial problems in an efficient way. In particular, one of the proto-collaborations, ECCE, has explored during the detector proposal the possibility of using multi-objective optimization to design the tracking system of the EIC detector. This document provides an overview of these techniques and recent progress made during the EIC detector proposal. Future high energy nuclear physics experiments can leverage AI-based strategies to design more efficient detectors by optimizing their performance driven by physics criteria and minimizing costs for their realization.

Research Organization:: Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)

Sponsoring Organization:: USDOE Office of Science (SC)

DOE Contract Number:: SC0019999

OSTI ID:: 1979435

Journal Information:: Journal of Instrumentation, Journal Name: Journal of Instrumentation Journal Issue: 04 Vol. 17; ISSN 1748-0221

Publisher:: Institute of Physics (IOP)

Country of Publication:: United States

Language:: English

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