Design and Optimization of a Particle Selection System for Muon Based Accelerators

نویسندگان

  • Diktys Stratakis
  • J. Scott Berg
  • David Neuffer
چکیده

In muon accelerators, muons are produced by impacting high energy protons onto a target to produce pions. The pions decay to muons which are eventually accelerated. A significant background of protons and electrons are generated that deposit heat in superconducting materials and activate the machine. In this paper we describe a two-step particle selection scheme: a chicane to remove the high momentum particles from the beam and a beryllium absorber that reduces the momentum of all particles in the beam, resulting in the loss of low momentum protons. We review the design and numerically examine its impact on the performance of the muon front end.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

An Expert System for Intelligent Selection of Proper Particle Swarm Optimization Variants

Regarding the large number of developed Particle Swarm Optimization (PSO) algorithms and the various applications for which PSO has been used, selecting the most suitable variant of PSO for solving a particular optimization problem is a challenge for most researchers. In this paper, using a comprehensive survey and taxonomy on different types of PSO, an Expert System (ES) is designed to identif...

متن کامل

AN OPTIMAL FUZZY SLIDING MODE CONTROLLER DESIGN BASED ON PARTICLE SWARM OPTIMIZATION AND USING SCALAR SIGN FUNCTION

This paper addresses the problems caused by an inappropriate selection of sliding surface parameters in fuzzy sliding mode controllers via an optimization approach. In particular, the proposed method employs the parallel distributed compensator scheme to design the state feedback based control law. The controller gains are determined in offline mode via a linear quadratic regular. The particle ...

متن کامل

Design of a New IPFC-Based Damping Neurocontrol for Enhancing Stability of a Power System Using Particle Swarm Optimization

The interline power flow controller (IPFC) is a concept of the FACTS controller for series compensation which can inject a voltage with controllable magnitude and phase angle among multi lines. This paper proposes a novel IPFC-Based Damping Neuro-control scheme using PSO for damping oscil‌la‌t‌i‌o‌ns in a power system to improve power system stability. The add‌i‌tion of a supplementary controll...

متن کامل

Optimizing Design of Stand-alone Hybrid Solar Micro-CHP ‎Systems Using LUS Based Particle Swarm Optimization ‎Algorithm ‎

Utilizing the combined cooling, heating and power generation (CHP) systems to produce cooling, heat and electricity is growing rapidly due to their high efficiency and low emissions in commercial and industrial applications. In conventional CHP systems the deficit of the system power can be purchased from the grid. However, this system cannot be used as the standalone application. The hybrid so...

متن کامل

Controller Design of SSSC for power System Stability Enhancement

In this paper, a novel method is developed for designing the output feedback controller for Static Synchronous Series Compensator (SSSC). In the proposed method, the problem of selecting the output feedback gains for the SSSC controllers is changed into an optimization problem with a time domain-based objective function.Then, it is solved by using the particle swarm optimization (PSO) algorithm...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014