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Laser-plasma accelerators represent a promising technology for future compact accelerating systems, enabling the acceleration of tens of pC to above $1\,$GeV over just a few centimeters. Nonetheless, these devices currently lack the…

Computing elements of CPSs must be flexible to ensure interoperability; and adaptive to cope with the evolving internal and external state, such as battery level and critical tasks. Cryptography is a common task needed in CPSs to guarantee…

Hardware Architecture · Computer Science 2023-06-21 Francesco Ratto , Luigi Raffo , Francesca Palumbo

AtomECS is a software package that efficiently simulates the motion of neutral atoms experiencing forces exerted by laser radiation, such as in magneto-optical traps and Zeeman slowers. The program is implemented using the…

Quantum Gases · Physics 2021-05-14 X. Chen , M. Zeuner , U. Schneider , C. J. Foot , T. L. Harte , E. Bentine

Compact conductively cooled SRF industrial linacs can provide unique parameters of the electron beam for industrial applications. (up to 10MeV, 1MW). For ERDC project we designed normal conducting RF injector with thermal RF gridded gun…

Accelerator Physics · Physics 2024-09-13 N. Solyak , I. Gonin , A. Saini , V. Yakovlev , C. Edwards , J. C. Thangaraj , R. Kostin , C. Jing

In NSC KIPT linac, a neutron source based on a subcritical assembly driven by a 100MeV/100kW electron linear accelerator is under design and development. The linear accelerator needs a new high current electron gun. In this paper, the…

Accelerator Physics · Physics 2015-06-17 Zusheng Zhou , Dayong He , Yunlong Chi

The PIP-II Injector Test 1 PIP2IT facility accelerator was assembled in multiple stages in 2014 $-$ 2021 to test concepts and components of the future PIPII linac that is being constructed at Fermilab. In its final configuration, PIP2IT…

We will use EPICS toolkit [1] to build a prototype for upgrading BEPC control system. The purposes are for the following three aspects: (1) Setup a network based distributed control system with EPICS. (2) Study some front-end control…

Accelerator Physics · Physics 2007-05-23 C. H. Wang , X. C. Kong , G. Lei , S. F. Xu , Q. Le , J. Zhao

Mistake detection in procedural tasks is essential for building intelligent systems that support learning and task execution. Existing approaches primarily analyze how an action is performed, while overlooking what it produces, i.e., the…

Computer Vision and Pattern Recognition · Computer Science 2026-02-17 Wenliang Guo , Yujiang Pu , Yu Kong

In the control system of the JAERI-KEK joint project (High Intensity Proton Accelerator Facility), it is planned to employ network-based controllers such as PLC's and measurement stations instead of using other field control networks, since…

Accelerator Physics · Physics 2007-05-23 K. Furukawa , J. Chiba , N. Kamikubota , H. Nakagawa

We consider a possibilty to use an echelon of mutually coherent laser pulses generated by the emerging CAN (Coherent Amplification Network) technology for direct particle acceleration in periodic plasma structures. The plasma structure…

Plasma Physics · Physics 2015-06-16 A. Pukhov , I. Kostyukov , T. Tückmantel , Ph. Luu-Thanh

In this work, we present experimental results of a high-speed label-free imaging cytometry system that seamlessly merges the high-capturing rate and data sparsity of an event-based CMOS camera with lightweight photonic neuromorphic…

Cyber-physical systems (CPSs) for real-time advanced process control (RT-APC) are a class of control systems using network communication to control industrial processes. In this paper, we use simple examples to describe the software…

Systems and Control · Electrical Eng. & Systems 2023-07-06 Anders H. D. Andersen , Zhanhao Zhang , Steen Hørsholt , Tobias K. S. Ritschel , John Bagterp Jørgensen

The PIP-II Machine Protection System (MPS) requires a dedicated set of tools for configuration control and management of the machine modes and beam modes of the accelerator. The protection system reacts to signals from various elements of…

Accelerator Physics · Physics 2024-02-01 L. Carmichael , M. Austin , J. Eisch , E. Harms , R. Neswold , A. Prosser , A. Warner , J. Wu

Agentic systems are modern software systems: they consist of orchestrated modules, expose interfaces, and are deployed in software pipelines. Unlike conventional programs, their execution, i.e., trajectories, is inherently stochastic and…

Software Engineering · Computer Science 2026-04-14 Shuyang Liu , Yang Chen , Rahul Krishna , Saurabh Sinha , Jatin Ganhotra , Reyhan Jabbarvand

Particle accelerator beamline optimization is a high-dimensional control problem traditionally requiring significant expert intervention. We present RLABC (Reinforcement Learning for Accelerator Beamline Control), an open-source Python…

Machine Learning · Computer Science 2026-04-22 Anwar Ibrahim , Fedor Ratnikov , Maxim Kaledin , Alexey Petrenko , Denis Derkach

One of the most robust methods, demonstrated up to date, of accelerating electron beams by laser-plasma sources is the utilization of plasma channels generated by the capillary discharges. These channels, i.e., plasma columns with a minimum…

Assisted by neural networks, reinforcement learning agents have been able to solve increasingly complex tasks over the last years. The simulation environment in which the agents interact is an essential component in any reinforcement…

Machine Learning · Computer Science 2018-09-03 Aqeel Labash , Ardi Tampuu , Tambet Matiisen , Jaan Aru , Raul Vicente

Today a linear particle accelerator (linac), in which electric and magnetic fields are of vital importance, is one of the popular energy generation sources like Accelerator Driven System (ADS). A multipurpose, including primarily ADS,…

General Physics · Physics 2019-07-10 H. F. Kisoglu , M. Yilmaz

Autonomous agents for desktop automation struggle with complex multi-step tasks due to poor coordination and inadequate quality control. We introduce Agentic Lybic, a novel multi-agent system where the entire architecture operates as a…

Artificial Intelligence · Computer Science 2025-09-17 Liangxuan Guo , Bin Zhu , Qingqian Tao , Kangning Liu , Xun Zhao , Xianzhe Qin , Jin Gao , Guangfu Hao

Machine learning technologies have found fertile ground in optics due to its promising features based on speed and parallelism. Feed-forward neural networks are one of the most widely used machine learning algorithms due to their simplicity…

Emerging Technologies · Computer Science 2023-10-25 Stefano Biasi , Riccardo Franchi , Lorenzo Cerini , Lorenzo Pavesi
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