2. Simulation of the new PS EC detector: implementation and results A. Romano, G. Iadarola, G. Rumolo LIU-PS Student Day 20 April 2015

3. Outline Introduction  The buildup of the Electron Cloud  The new PS Electron Cloud detector in MU98 Simulation of the PS Electron Cloud detector  Implementation of the PS Electron Cloud detector in PyECLOUD  Simulations scans for different operating conditions(radial position, bunch intensity, bunch length) Summary

4. The electron cloud buildup Proton bunch e - emitted

5. The electron cloud buildup If the SEY is large enough, Secondary Electron Emission can drive an avalanche multiplication effect filling the beam chamber with an electron cloud (EC) e - emitted Proton bunch

6. Electron cloud effects in the PS  During the last stages of the RF manipulations for the production of the 25 ns LHC beams type, a significant pressure rise due to the EC was measured  In operation these beams were not degraded by the interaction with the EC but these effects could affect, and degrade, the future high intensity and high brightness beams foreseen by the LIU project Biased Electrode: Measure current from EC Biased Electrode: Measure current from EC Grid [By Teddy Capelli EN/MME]

7. PS detector in MU98 - Structure The pick-up is made by a ceramic block shielded from the main chamber with a 0.2 mm thick stainless steel sheet consisting of a series of holes (1 mm diameter and 2 mm pitch). The detector is mounted in the right part of the beam pipe (on the bottom); the distance between the end of the pick-up and the y-axis of vacuum chamber is 1.2 cm PS MU98 detector EC detector

9. Simulation Strategy  Development of a reliable model both of the PS vacuum chamber and of the EC detector  Implementation of these models in PyECLOUD  Numerical simulations were carried out to quantify the expected signal at the detector under different beam conditions: o Beam radial position [-3,3] cm o Bunch length [4,16] ns o Bunch population [1.0,2.5]x 10 11 ppb Simulation strategy:

10. EC detector The surface of beam pipe is made of adjacent segments of different size and SEY PS chamber implemented in PyECLOUD Simulation Strategy SEY = 0 (absorbing surface) hole SEY=[1.0-2.2] chamber

11. The surface of beam pipe is made of adjacent segments of different size and SEY PS chamber implemented in PyECLOUD Simulation Strategy SEY = 0 (absorbing surface) hole SEY=[1.0-2.2] chamber

12. Simulation Strategy Successful benchmark with existing ECLOUD simulations for an SPS strip detector ECLOUD PyECLOUD

13. Case Study  Simulations scans for different beam radial position The detector is slightly displaced with respect to vertical axis of the chamber, for this reason the dependence of the signal on the radial beam positions was investigated

14. Case Study Beam position = -30 mm SEY=1.6

15. Case Study Beam position = -20 mm SEY=1.6

16. Case Study Beam position = -10 mm SEY=1.6

17. Case Study Beam position = center SEY=1.6

18. Case Study Beam position = 10 mm SEY=1.6

19. Case Study Beam position = 20 mm SEY=1.6

20. Case Study Beam position = 30 mm SEY=1.6

21. Case Study : bl= 14 ns Current through the holes

22. Case Study : bl= 4 ns Current through the holes

23. Case Study : ppb= 1.30* 10 11 Current through the holes I [A]

24. Case Study : ppb= 2.50* 10 11 Current through the holes I [A]

25. Summary  The behaviour of the EC detector under different beam condition was also investigate; the results show that: o the electron flux through the holes is strongly affected by the beam displacement; it becomes acceptable only when the beam gets closer to the region of the detector o the multipacting threshold decreases when the bunch length decreases and when the bunch intensity increases  Unfortunately, first tests show a strong beam induced which masks any EC signal  further investigation is needed to improve the design of this device

26. Thanks for your attention !!!!