Abstract

The Super Proton Synchrotron at CERN is equipped with a scraping system for halo cleaning at beam transfer to the Large Hadron Collider. The system is composed of movable graphite blades mechanically swept through the beam to remove tails immediately before beam transfer. Due to the mechanical movement, beam particles are intercepted by a small volume of material with consequent concentration of energy deposition and high thermal loads. The blades were tested with beam to verify their resistance to the most extreme scraping conditions. Even though the beam was prematurely dumped by the beam loss monitoring system, the microstructural analysis of the blades following the test found signs of material sublimation. The test setup was reproduced in simulation to reconstruct the levels of energy deposition actually reached in the blades during the test; values are compatible with local material sublimation, in agreement with the microstructural analysis. Simulations were carried out by coupling the sixtrack tracking code, used for single particle beam dynamics in circular accelerators for high energy physics, to the fluka Monte Carlo code, for particle-matter interactions. The time evolution of the beam intensity measured during scraping and the distribution of losses around the ring were used for an extensive benchmark of the simulation tool against measurements taken during the test. This work presents the endurance test together with simulation results and the benchmark of the simulation tool. The quantitative agreement between simulations and measurements proves the quality of the analyses and the maturity of the simulation tool, which can be reliably used to predict the performance of cleaning systems in circular accelerators.

Highlights

  • Accelerator R&D is nowadays vital to answer the quest for more energetic and brighter beams set by high energy physics investigations [1]

  • This paper presents the endurance test of the Super Proton Synchrotron (SPS) scraper blades, together with results from the simulation campaign

  • The good agreement between simulation results and measurements proves the quality of the analyses and the maturity of the simulation tool, which can be reliably used to predict the performance of cleaning systems in hadron circular accelerators at the frontier of high energy physics

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Summary

INTRODUCTION

Accelerator R&D is nowadays vital to answer the quest for more energetic and brighter beams set by high energy physics investigations [1]. Machine protection systems can reach high levels of complexity, involving different techniques of detecting equipment failures, sophisticated interlocks cross-checking different operational settings at the same time, and optimum design of beam-intercepting devices. The analysis of faults and loss scenarios and estimation of consequences on sensitive equipment through computer simulations are fundamental steps toward the design of a machine protection system that can ensure the safe operation of the accelerator. This paper presents the endurance test of the SPS scraper blades, together with results from the simulation campaign. The endurance test of the SPS scraper blades was the first extensive application of the FLUKASixTrack coupling; the paper presents a quantitative benchmark of simulation results against the measurements taken during the test. The good agreement between simulation results and measurements proves the quality of the analyses and the maturity of the simulation tool, which can be reliably used to predict the performance of cleaning systems in hadron circular accelerators at the frontier of high energy physics

THE HARDWARE USED IN THE TEST
The scrapers
Monitors
THE ENDURANCE TEST
Test setup
Measurements taken during the test
Microstructural analysis of the tested blades
Estimation of amount of scraped beam
Main outcomes
SIMULATIONS AND BENCHMARK
Simulation settings
Beam shape
Results
Estimation of energy deposition
Benchmark against BLM signals
Qualitative comparison against BLM signals
Quantitative comparisong against BLM signals in LSS1
CONCLUSIONS

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