IPAC2015 - List of Authors (Tchelidze, L.)

Paper	Title	Page
MOPJE058	FLUKA Modeling of the ESS Accelerator	434
	L. Lari, M. Eshraqi, L.S. Esposito, L. Tchelidze ESS, Lund, Sweden F. Cerutti, L.S. Esposito, L. Lari, A. Mereghetti CERN, Geneva, Switzerland
	In order to evaluate the energy deposition and radiation issues concerning the ESS accelerator, a FLUKA model of the machine has been created. The geometry of the superconducting beam line is built according to the machine optics, described in the TraceWin file and the CATIA drawings of the beam elements, using the LineBuilder tool developed at CERN. The objective is to create a flexible FLUKA model that is able to be adapted to the optimization of the optics, design modifications and machine integration constraints. Preliminary results are also presented.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2015-MOPJE058
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MOPTY047	ESS Cold LINAC BLM Locations Determination	1039
	M. Jarosz, A. Jansson, J.C. Kazantzidis, T.J. Shea, L. Tchelidze ESS, Lund, Sweden
	Funding: This project (oPAC) is funded by the European Union under contract PITN-GA-2011-289485. The linear accelerator of ESS will produce a 5 MW proton beam. Beam of this power must be strictly monitored by a specialized Beam Loss Monitoring (BLM) System to detect any abnormal losses and to ensure that operational losses do not lead to excessive activation. A long series of beam loss simulations was performed using MARS Monte Carlo code system in order to optimize the number and setting mounting locations of the detectors for best coverage, distinguishability and sensitivity. Simulations anticipated multiple possible beam loss scenarios resulting in different loss patterns. The results of energy deposition in air in the linac tunnel in multiple locations were analysed in several different ways. Incorporated methods varied from simple brute force approach to more sophisticated singular value decomposition based algorithms, all resulting in detector layout proposals. Locations selected for BLMs were evaluated for all methods.
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2015-MOPTY047
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

FLUKA Modeling of the ESS Accelerator

434

L. Lari, M. Eshraqi, L.S. Esposito, L. Tchelidze
ESS, Lund, Sweden
F. Cerutti, L.S. Esposito, L. Lari, A. Mereghetti
CERN, Geneva, Switzerland

In order to evaluate the energy deposition and radiation issues concerning the ESS accelerator, a FLUKA model of the machine has been created. The geometry of the superconducting beam line is built according to the machine optics, described in the TraceWin file and the CATIA drawings of the beam elements, using the LineBuilder tool developed at CERN. The objective is to create a flexible FLUKA model that is able to be adapted to the optimization of the optics, design modifications and machine integration constraints. Preliminary results are also presented.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2015-MOPJE058

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPTY047

ESS Cold LINAC BLM Locations Determination

1039

M. Jarosz, A. Jansson, J.C. Kazantzidis, T.J. Shea, L. Tchelidze
ESS, Lund, Sweden

Funding: This project (oPAC) is funded by the European Union under contract PITN-GA-2011-289485.
The linear accelerator of ESS will produce a 5 MW proton beam. Beam of this power must be strictly monitored by a specialized Beam Loss Monitoring (BLM) System to detect any abnormal losses and to ensure that operational losses do not lead to excessive activation. A long series of beam loss simulations was performed using MARS Monte Carlo code system in order to optimize the number and setting mounting locations of the detectors for best coverage, distinguishability and sensitivity. Simulations anticipated multiple possible beam loss scenarios resulting in different loss patterns. The results of energy deposition in air in the linac tunnel in multiple locations were analysed in several different ways. Incorporated methods varied from simple brute force approach to more sophisticated singular value decomposition based algorithms, all resulting in detector layout proposals. Locations selected for BLMs were evaluated for all methods.

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-IPAC2015-MOPTY047

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)