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Related papers: Simulation Studies of the NLC with Improved Ground…

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Machine learning models of accelerator systems (`surrogate models') are able to provide fast, accurate predictions of accelerator physics phenomena. However, approaches to date typically do not include measured input diagnostics, such as…

Accelerator Physics · Physics 2021-04-06 Lipi Gupta , Auralee Edelen , Nicole Neveu , Aashwin Mishra , Christopher Mayes , Young-Kee Kim

In this note, we briefly review the current lattice of the NLC extraction line which was designed for the nominal NLC beam parameters. Then we describe the beam parameters for the high luminosity option with larger beam disruption parameter…

Accelerator Physics · Physics 2007-05-23 Y. M. Nosochkov , T. O. Raubenheimer

A recent approach to the control of underactuated systems is to look for control laws which will induce some specified structure on the closed loop system. This basic idea is used in several papers already. In this paper, we will describe…

Optimization and Control · Mathematics 2007-05-23 Fedor Andreev , David Auckly , Lev Kapitanski , Shekhar Gosavi , Atul Kelkar , Warren White

Agile quadrotor flight in challenging environments has the potential to revolutionize shipping, transportation, and search and rescue applications. Nonlinear model predictive control (NMPC) has recently shown promising results for agile…

Robotics · Computer Science 2021-12-06 Drew Hanover , Philipp Foehn , Sihao Sun , Elia Kaufmann , Davide Scaramuzza

This paper introduces a novel nonlinear model predictive control (NMPC) framework that incorporates a lifting technique to enhance control performance for nonlinear systems. While the lifting technique has been widely employed in linear…

Systems and Control · Electrical Eng. & Systems 2025-07-15 Nuthasith Gerdpratoom , Fumiya Matsuzaki , Yutaka Yamamoto , Kaoru Yamamoto

The strategies for and the performance of the CMS silicon tracking system alignment during the 2015-2018 data-taking period of the LHC are described. The alignment procedures during and after data taking are explained. Alignment scenarios…

Instrumentation and Detectors · Physics 2022-06-15 CMS Collaboration

Computer modeling is essential to research on Advanced Accelerator Concepts (AAC), as well as to their design and operation. This paper summarizes the current status and future needs of AAC systems and reports on several key aspects of (i)…

Accelerator Physics · Physics 2021-10-27 J. -L. Vay , A. Huebl , R. Lehe , N. M. Cook , R. J. England , U. Niedermayer , P. Piot , F. Tsung , D. Winklehner

Computing the receding horizon optimal control of nonlinear hybrid systems is typically prohibitively slow, limiting real-time implementation. To address this challenge, we propose a layered Model Predictive Control (MPC) architecture for…

Systems and Control · Electrical Eng. & Systems 2025-03-18 Zachary Olkin , Aaron D. Ames

The International Linear Collider (ILC) is now under consideration as the next global project in particle physics. In this report, we review of all aspects of the ILC program: the physics motivation, the accelerator design, the run plan,…

The success of the first few years of LHC operations at CERN, and the expectation of more to come as the LHC performance improves, are already leading to discussions of what should be next for both proton-proton and electron-positron…

High Energy Physics - Experiment · Physics 2015-06-22 Burton Richter

In this paper, we propose, discuss, and validate an online Nonlinear Model Predictive Control (NMPC) method for multi-rotor aerial systems with arbitrarily positioned and oriented rotors which simultaneously addresses the local reference…

Robotics · Computer Science 2020-09-11 Davide Bicego , Jacopo Mazzetto , Ruggero Carli , Marcello Farina , Antonio Franchi

Renewed international interest in muon colliders motivates the continued investigation of the impacts of beam-induced background on detector performance. This continues the effort initiated by the Muon Accelerator Program and carried out…

SLAM system using only point cloud has been proven successful in recent years. In most of these systems, they extract features for tracking after ground removal, which causes large variance on the z-axis. Ground actually provides robust…

Robotics · Computer Science 2021-10-25 Fan Yang , Mengqing Jiang , Chenxi Xu

Rapid design space exploration in early design stage is critical to algorithm-architecture co-design for accelerators. In this work, a pre-RTL cycle-accurate accelerator simulator based on SystemC transaction-level modeling (TLM),…

Hardware Architecture · Computer Science 2020-07-30 Sunwoo Kim , Jooho Wang , Youngho Seo , Sanghun Lee , Yeji Park , Sungkyung Park , Chester Sungchung Park

In this paper, we study connections between the classical model-based approach to nonlinear system theory, where systems are represented by equations, and the nonlinear behavioral approach, where systems are defined as sets of trajectories.…

Optimization and Control · Mathematics 2024-05-30 Antonio Fazzi , Alessandro Chiuso

In this publication we collected descriptions of some installations with liquid metals which could be used for high-energy colliders, ILC particularly, for the purposes of targeting, collimation, cooling, collection of secondary particles…

Accelerator Physics · Physics 2015-11-12 Alexander Mikhailichenko

This chapter takes a look at how beam diagnostic systems can be used to commission, optimise and solve issues on high energy colliders.

Accelerator Physics · Physics 2020-06-03 Rhodri Jones

As part of the Snowmass'21 community planning excercise, the Advanced Accelerator Concepts (AAC) community proposed future linear colliders with center-of-mass energies up to 15 TeV and luminosities up to 50$\times10^{34}$ cm$^{-2}$s$^{-1}$…

Over the last few years lattice techniques have been used to investigate candidate theories of new physics beyond the Standard Model. This review gives a survey of results from these studies. Most of these investigations have been of…

High Energy Physics - Phenomenology · Physics 2016-04-20 Thomas DeGrand

Background and purpose: To propose a novel machine learning-based method for reliable and accurate modeling of linac beam data applicable to the processes of linac commissioning and QA. Materials and methods: We hypothesize that the beam…

Medical Physics · Physics 2020-10-07 Wei Zhao , Ishan Patil , Bin Han , Yong Yang , Lei Xing , Emil Schüler
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