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Phase space moment equation model of highly relativistic electron beams in plasma wakefield accelerators Robert Robson1, Timon Mehrling2, Jan-Hendrik Erbe2.

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Presentation on theme: "Phase space moment equation model of highly relativistic electron beams in plasma wakefield accelerators Robert Robson1, Timon Mehrling2, Jan-Hendrik Erbe2."— Presentation transcript:

1 Phase space moment equation model of highly relativistic electron beams in plasma wakefield accelerators Robert Robson1, Timon Mehrling2, Jan-Hendrik Erbe2 and Jens Osterhoff2 School of Natural Sciences, Griffith University, Brisbane, Australia Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany

2 What this talk is about A new theoretical technique for rapid, accurate calculation of average phase space properties of an electron beam injected into & extracted from a laser wakefield 2. At first plasma properties are assumed uniform (benchmark model) 3. Generalize the procedure to realistic profiles  quick, accurate alternative to PIC

3 Electron “bunch” vs “swarm”
Fx ~ -kx x Fig 1 Axial symmetry Fz  const z = ct Fx Low energy electron “swarm” in a gas (ANU, Heidelberg, t < 2011) Highly relativistic bunch of electrons in a laser wakefield plasma (DESY) What is in common? Kinetic theory, fluid modelling, meV  MeV Quantities of interest are phase space averages <x2 >, <x px>, <px2>, emittance, … PIC is accurate and comprehensive but computationally expensive

4 Phase space moment method
Fig 2 ( t + v. + F. p ) f = (t f )collisions  0 (Vlasov equation) “Short cut" method  set of phase space averages <i(r,p) > directly Form a set of moment equations  d (phase space) i (r,p)  Vlasov Eqn (i=1,2,3, …) Generally more unknowns than equations, therefore require a closure Ansatz Like “fluid models” of plasma physics  significant computational economy Accuracy critically dependent upon Ansatz

5 Basic moment equations

6 Benchmark model – analytic solution

7 Semi-analytical numerical analysis (SANA)

8 Comparison of SANA with analytic solution for constant k
Fig 3 Evolution of emittance and <x2> after injection into a blowout plasma wakefield of density cm-3 as calculated from the analytic expression (solid line) and SANA numerical model (dashed lined), for  = 0.1, <uz> = 2000, k = 0.94 mm-1 , with initial conditions <x2>0 = (5 m)2 , <xx>0 = 0 and <x2>0 =(0.5 mrad)2. Small oscillatory differences are due to an approximation in analytic model

9 PIC simulation (HIPACE) for constant k
Fig 4 Same model as last page, including PIC simulation (HIPACE) results. See T. Mehrling, C. Benedetti, C. B. Schroeder, and J. Osterhoff., Plasma Physics & Controlled Fusion 56, (2014) . Direct comparison with PIC is possible only if the effects of the longitudinal force term Fz are included in the moments equations. Then <uz> and  vary with s, no analytic solution available, SANA still OK.

10 Further moments for constant k
To this point all details are for constant kx and can be found in R.E. Robson, T.J. Mehrling and J. Osterhoff, Ann. Phys. 356, (2015) Now extend the moment equations and generalize SANA solution

11 Application of SANA to more general plasma profiles
Now include contributions from terms arising from Fz in moment equations, generalize SANA procedure Work with phase space moments <x2 >, <x px >, <px2> instead of trace space Fig. 5 Two plasma profiles in capillaries of the same length. The standard profile changes at the plasma-vacuum interfaces much more rapidly than the tailored profile.

12 Fig. 6 Phase space emittance evolution of beams externally injected into plasma-wakefields in the blowout regime for standard and tailored plasma profiles, as calculated by PIC simulation and SANA. The tailored profile mitigates growth during injection and in the vacuum drift.

13 SANA - compares well with PIC simulations + computationally economical
SUMMARY Vlasov kinetic equation  equivalent set of phase-space moment equations, closure achieved through an Ansatz An analytic solution has been obtained for constant betatron wavenumber, for use as a benchmark An analytic/numerical procedure (SANA) has been developed for arbitrary plasma density profiles and betatron wavenumbers SANA - compares well with PIC simulations + computationally economical - quickly calculates emittance growth during injection/ extraction phases - enables rapid optimization of plasma target density profiles - this is the key to generation of high quality beams in plasma-based acceleration

14 THANK YOU FOR YOUR ATTENTION!
References R.E. Robson, T.J. Mehrling and J. Osterhoff, Ann. Phys. 356, (2015) [Methodology & details] T. Mehrling , C. Benedetti, C. B. Schroeder, and J. Osterhoff., Plasma Physics & Controlled Fusion 56, (2014) [HIPACE PIC simulation details] R.E. Robson, et al, Rev. Mod. Phys 77, (2005) [Fluid analysis in configuration space] K. Kumar, J. Phys. D14, 2199 (1981) [ Phase space moment method for low energy electrons] THANK YOU FOR YOUR ATTENTION! Isola d’Elba Isola di Coochiemudlo 1.6  104 km

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