Operated by Los Alamos National Security, LLC for NNSA Dynamics of modulated beams Operated by Los Alamos National Security, LLC, for the U.S. Department.

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Presentation transcript:

Operated by Los Alamos National Security, LLC for NNSA Dynamics of modulated beams Operated by Los Alamos National Security, LLC, for the U.S. Department of Energy Nikolai Yampolsky Future Light Sources Workshop March 8, 2012

Operated by Los Alamos National Security, LLC for NNSA Slide 2 FEL seeding FEL mode couples electron bunching and radiation. Therefore, FEL can be seeded either by the coherent radiation or by beam bunching at the resonant wavelength. optical seeding beam seeding D. Xiang and G. Stupakov, Phys. Rev. Lett. 12, (2009). J. Feldhaus et al., Opt. Comm. 140, 341 (1997).

Operated by Los Alamos National Security, LLC for NNSA Slide 3 Motivation Objective Describe beam modulation Describe dynamics of modulated beams in beamlines Study different seeding schemes and compare them to each other Model requirements Description should quantitative It should be simple enough It should be general

Operated by Los Alamos National Security, LLC for NNSA Slide 4 Spectral distribution function Distribution function Spectral distribution function bunching factor

Operated by Los Alamos National Security, LLC for NNSA Slide 5 Qualitative dynamics of spectral distribution spectral domain Consider a single harmonic of the distribution function The phase of modulation depends linearly on the phase space coordinates In an arbitrary linear beamline the phase space transforms linearly The phase of transformed distribution function is also a linear function of the phase space coordinates. That indicates that a single harmonic of the distribution unction remains as a single harmonic under linear transforms. The topology of the spectral domain remains the same. The entire dynamics should manifest as rotation and reshaping of the beam spectrum kEkE kzkz

Operated by Los Alamos National Security, LLC for NNSA Slide 6 Vlasov equation Phase space domain Vlasov equation Characteristic equation (Newton equations) Formal solution (Liouville theorem) Spectral domain Spectral Vlasov equation Characteristic equation Formal solution Works only for linear beamlines!!!

Operated by Los Alamos National Security, LLC for NNSA Slide 7 Spectral averages Phase space domain Beam matrix transform Introduce averaging over distribution function The lowest order moments average position beam matrix Spectral domain Transform of spectral averages Introduce averaging over spectral distribution function The lowest order moments modulation wavevector bandwidth matrix Beam envelope and modulation parameters transform independently from each other!

Operated by Los Alamos National Security, LLC for NNSA Slide 8 Bandwidth matrix as metrics for beam quality Bandwidth matrix B transforms exactly as inverse beam matrix  In case of Gaussian beam,

Operated by Los Alamos National Security, LLC for NNSA Slide 9 Modulation invariants Invariants similar to eigen-emittance concept can be introduced for bandwidth matrix The number of modulation periods under the envelope is conserved Same for each eigen- phase plane The relative bandwidth of modulation is conserved in linear beamlines Same for each eigen- phase plane

Operated by Los Alamos National Security, LLC for NNSA Slide 10 Laser-induced energy modulation Laser-induced modulation nonlinearly transforms the phase space Resulting beam spectrum consists of several well separated harmonics Energy part of spectral distribution is a product of initial spectral distribution and Bessel functions Spatial part of spectral distribution is a convolution of initial spectral distribution and laser spectrum For laser pulse with random phase noise

Operated by Los Alamos National Security, LLC for NNSA Slide 11 Diagrams describing seeding schemes spectral domain kEkE kzkz chicane cavity largest modulation amplitude Laser-induced modulation transforms the phase space in z-E plane. Two elements mediate further linear transforms of imposed modulation: chicanes and RF cavities introducing energy chirp The wavevector of modulation shifts parallel to the axes on the spectral diagram

Operated by Los Alamos National Security, LLC for NNSA Slide 12 High Gain Harmonic Generation (HGHG) Laser-induced modulation is transformed into bunching through a single chicane. Modulation amplitude is large enough if the modulation is imposed within the spectral energy bandwidth of the envelope Chicane strength required to transform imposed modulation into bunching Output bunching bandwidth

Operated by Los Alamos National Security, LLC for NNSA Slide 13 Echo Enabled Harmonic Generation (EEHG) Scheme consists of two modulators and two chicanes. The first modulation is imposed at low harmonic so that the energy wavenumber lies within the envelope bandwidth. The first chicane transforms this modulation to high values of k E and this modulation serves as an envelope for the secondary modulator (secondary modulation is not suppressed then). The second chine recovers resulting modulation a bunching (same as in HGHG scheme) Output bunching bandwidth

Operated by Los Alamos National Security, LLC for NNSA Slide 14 Compressed Harmonic Generation (CHG) RF cavity is used to shift the longitudinal wavenumber of modulation to high values. Since  k z =  k E 0, the chicane is used to bring k E to high values and then perform shift of longitudinal wavenumber. Parameters of required optics are easy find since it’s linear Output bunching bandwidth

Operated by Los Alamos National Security, LLC for NNSA Slide 15 Conclusions It is shown that physics of modulated beams is simple in the spectral domain compared to the phase space domain. The lowest order moments of the spectral distribution function well characterize modulated beams. That introduces convenient metrics for quantitative analysis of beam modulation. The entire evolution of modulated beams can be reduced to the transform of its spectral averages. This approach significantly simplifies analysis of beam dynamics. The simplest cases of FEL seeding schemes are analyzed and the resulting bunching bandwidth is found.