Paper | Title | Other Keywords | Page |
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MO4IODN03 | Portable High Performance Computing for Microwave Simulation by FDTD/FIT Machines | simulation, target, electromagnetic-fields, electron | 35 |
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In addition to standard high performance computing technologies such as supercomputers and grid computers, a method of dedicated computers have been attempted to construct portable high performance computing environments in the vicinity of office PC. The method of dedicated computers have also been adopted into electromagnetic field simulations, which are mainly in a linear algebra equation solver for general electromagnetic field analysis and the FDTD solver for microwave simulations. In this paper, attempts of FDTD/FIT dedicated computer (FDTD/FIT machine) are introduced*. The basic scheme of the FDTD/FIT method itself is very simple and suitable for implementation as hardware circuits. In addition, it is also essential to realize many other functions such as imposing of boundary conditions, treatment of non-uniform materials, power input, etc. Moreover, to fully bring out the advantage of the method of dedicated computer, the computer architecture should be designed to achieve efficient computing of all of FDTD/FIT scheme including the boundary condition setting, etc. Especially various efforts of minimization of memory access overhead are discussed in this paper. |
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TU1IOPK04 | Benchmarking Different Codes for the High Frequency RF Calculation | cavity, simulation, superconducting-cavity, electromagnetic-fields | 53 |
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In this paper, we present benchmarking results for high-class 3D electromagnetic (EM) codes in designing RF cavities today. These codes include Omega3P [1], VORPAL [2], CST Microwave Studio [3], Ansoft HFSS [4], and ANSYS [5]. Two spherical cavities are selected as the benchmark models. We have compared not only the accuracy of resonant frequencies, but also that of surface EM fields, which are critical for superconducting RF cavities. By removing degenerated modes, we calculate all the resonant modes up to 10 GHz with similar mesh densities, so that the geometry approximation and field interpolation error related to the wavelength can be observed. |
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WE3IOPK04 | Update on MAD-X and Future Plans | status, controls, resonance, survey | 117 |
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After a intense and hectic code development during the LHC design phase the MAD-X program (Methodical Accelerator Design – Version X) is going through a period of code consolidation. To this end the development on the core has been frozen and most effort are concerned with a solid debugging in view of a trustworthy production version for the LHC commissioning. On the other hand, the demand on further code development from the LHC pre-accelerators and CLIC are dealt with PTC related parts of the code where the implementation is in full swing. Having reached a mature state of the code the question arises what kind of future can be envisaged for MAD-X. |
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THPSC003 | RadTrack: A User-Friendly, Modular Code to Calculate the Emission Processes from High-Brightness Electron Beams | diagnostics, simulation, lattice, controls | 259 |
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The development of the code RadTrack is based on the need to model accelerator system diagnostics. The code is built using a modular approach with a strong emphasis on intuitive user interface. The operations of trajectory calculation and radiation field solving are segregated; currently the tracking is handled by Q-Tracker and the field solving is executed by a modified version of QUINDI. Additionally, the RadTrack user interface allows for seamless start-to-end stitching of I/O exchange between certain codes, and the visualization canvas reinforces user directives in a near-real-time environment. |
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THPSC030 | A High-Level Interface for the ANKA Control System | controls, storage-ring, optics, synchrotron | 318 |
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ANKA is a synchrotron radiation source located in Karlsruhe, Germany. While the control system has always provided access to technical parameters, like power supply currents or RF frequency, direct access to physical parameters like tune or chromaticity has been missing. Thus the operator has to change and monitor the technical parameters manually and to calculate the physical parameters using separate tools. Therefore effort has been made to integrate the monitoring of physical parameters and simulation tools into the control system. At ANKA the MATLAB-based Accelerator Toolbox is used for simulation purposes, however the control system framework ("ACS") does not support MATLAB natively. For this reason, a software bridge has been created, which provides direct access to control system components from MATLAB. Thus operators can write their own MATLAB code simultaneously using simulation code and components from the control system. This system has already been used to automate measurements, thus allowing unattended long-term measurements, which have not been possible before. Future plans include creating a graphical user interface and various monitoring and stabilization loops. |