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High precision Low-level RF (LLRF) control and monitoring systems for future particle accelerators will be a significant technical challenge as the requirements in performance, flexibility and affordability become increasingly stringent. We…

This paper presents the background material required for the Learning to Run Power Networks Challenge. The challenge is focused on using Reinforcement Learning to train an agent to manage the real-time operations of a power grid, balancing…

Signal Processing · Electrical Eng. & Systems 2020-03-17 Adrian Kelly , Aidan O'Sullivan , Patrick de Mars , Antoine Marot

High-energy-density flows through dense matter are needed for effective progress in the production of laser-driven intense sources of energetic particles and radiation, in driving matter to extreme temperatures creating state regimes…

Various superconducting detector solenoids for particle physics have been developed in the world. The key technology is the aluminum-stabilized superconducting conductor for almost all the detector magnets in particle physics experiments.…

Increasingly stringent throughput requirements in the industry necessitate the need for lightweight design of high-precision motion systems to allow for high accelerations, while still achieving accurate positioning of the moving-body. The…

Systems and Control · Electrical Eng. & Systems 2022-09-20 Yorick Broens , Hans Butler , Roland Tóth

The introduction of modern Machine Learning Potentials (MLP) has led to a paradigm change in the development of potential energy surfaces for atomistic simulations. By providing efficient access to energies and forces, they allow to perform…

Chemical Physics · Physics 2023-10-13 Alea Miako Tokita , Jörg Behler

The intention of this course is to provide guidance and tools necessary to carry out an analytical design of a simple accelerator magnet. Basic concepts and magnet types will be explained as well as important aspects which should be…

Accelerator Physics · Physics 2011-03-08 Th. Zickler

The U.S. Magnet Development Program (US-MDP) is aimed at developing high field accelerator magnets with magnetic fields beyond the limits of Nb$_3$Sn technology. Recent progress with composite wires and Rutherford cables based on the first…

Accelerator Physics · Physics 2020-08-18 Alexander V Zlobin , Igor Novitski , Emanuela Barzi

It was recently pointed out that very energetic subclasses of supernovae (SNe), like hypernovae and superluminous SNe, might host ultra-strong magnetic fields in their core. Such fields may catalyze the production of feebly interacting…

The LHC Collider Ring is proposed to be turned into an ultimate automatic search engine for new physics in four consecutive phases: (1) Searches for heavy particles produced in Central Exclusive Process (CEP): pp -> p + X + p based on the…

High Energy Physics - Experiment · Physics 2017-04-05 Risto Orava

The scientific community is currently witnessing an expensive and worldwide race to achieve the highest possible light intensity. Within the next decade this effort is expected to reach nearly $10^{24}\,\mathrm{W}/\mathrm{cm^2}$ in the lab…

The transformer is a powerful data modelling framework responsible for remarkable performance on a wide range of tasks. However, they are limited in terms of scalability as it is suboptimal and inefficient to process long-sequence data. To…

Computer Vision and Pattern Recognition · Computer Science 2024-04-09 George Leotescu , Daniel Voinea , Alin-Ionut Popa

A novel concept of a high-power magnetron transmitter allowing dynamic phase and power control at the frequency of locking signal is proposed. The transmitter compensating parasitic phase and amplitude modulations inherent in…

Accelerator Physics · Physics 2016-12-23 G. Kazakevich , R. Johnson , M. Neubauer , V. Lebedev , W. Schappert , V. Yakovlev

Research, education and training in high energy physics (HEP) often draw international collaborations even when priorities and long term visions are defined regionally or nationally. Yet in many developing regions, HEP activities are…

In this paper we propose solving localized multiple kernel learning (LMKL) using LMKL-Net, a feedforward deep neural network. In contrast to previous works, as a learning principle we propose {\em parameterizing} both the gating function…

Machine Learning · Statistics 2018-05-23 Ziming Zhang

This workshop discusses the various aspects of a high energy version of the LHC in the LHC tunnel, the basic assumption being that the LHC will be decommissioned. The possibilities to recycle LHC and the already stopped HERA are discussed…

Accelerator Physics · Physics 2011-08-09 K. H. Mess

Conventional magnetic transverse focusing in conventional linear accelerators represents a high fraction of their cost and complexity. Both transverse and longitudinal focusing can be obtained from the radio frequency field by using the…

Accelerator Physics · Physics 2014-04-22 R. A. Jameson

A thoughtful approach to designing and improving labs, particularly at the advanced level, is critical for the effective preparation of physics majors for professional work in industry or graduate school. With that in mind, physics…

Physics Education · Physics 2013-01-21 Benjamin M. Zwickl , Noah Finkelstein , H. J. Lewandowski
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