1 / 22

GENESIS simulations with Wakefields for XFEL

GENESIS simulations with Wakefields for XFEL. Igor Zagorodnov BDGM, DESY 26.09.05. SASE 2 parameters. Parameters XFEL theory. Parameters XFEL theory. Gain parameter. Efficiency parameter. Diffraction parameter. Effective power of the input signal. Gain length *. Optimal beta-function.

lanai
Télécharger la présentation

GENESIS simulations with Wakefields for XFEL

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. GENESIS simulations with Wakefields for XFEL Igor Zagorodnov BDGM, DESY 26.09.05

  2. SASE 2 parameters

  3. Parameters XFEL theory

  4. Parameters XFEL theory Gain parameter Efficiency parameter Diffraction parameter Effective power of the input signal

  5. Gain length* Optimal beta-function Saturation length * E.L.Saldin et al./Optics Communications 235 (2004) 415-420

  6. Genesis steady state simulation

  7. ELOSS= = - 48keV/m head tail tail head

  8. Genesis steady state simulation Scan with ELOSS = - 48keV/m

  9. Power no wake (amplifier) no wake (SASE) with wake (amplifier) with wake (SASE)

  10. Genesis time dependent simulation SASE model Amplifier model

  11. Taper optimization (steady state) Scan with ELOSS = - 100keV/m

  12. Genesis time dependent simulation SASE model

  13. Power (Gaussian bunch) wake+taper with wake no wake

  14. Shape 0 „Real“ shapes from Martin Dohlus http://www.desy.de/~dohlus/2005.09.xfel_wakes head tail Shape 3 tail head tail head

  15. Geometric wake? Longitudinal wake for the case of the elliptical pipe (3.8mm) The wake repeats the bunch shape

  16. Genesis time dependent simulation (SASE) Shape 3 Gaussian

  17. Power

  18. Genesis time dependent simulation (SASE) Shape 0 Gaussian

  19. Power in a.u. Gaussian Shape 0 Shape 3

  20. Gaussian Shape 0 Shape 3 Taper:

  21. Power Gaussian Shape 0 Shape 3

  22. Conclusions 1. The wake field reduces the power at L=250 m by factor 2.5 for the Gaussian bunch and up to factor 7 by the “real” shape 2. The linear taper allows to avoid the degradation and to increase the power by factor 2 for the Gaussian bunch 3. The same taper allows to avoid the degradation for other shapes too Acknowledgements to Evgeny Schneidmiller and Martin Dohlus for the help

More Related