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Lifetrac

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In this case the goal of simulations is not to obtain the equilibrium ... Beams separation for 'helix' or 'pretzel' Longitudinal motion with sinusoidal RF ... – PowerPoint PPT presentation

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Title: Lifetrac


1
Lifetrac
US LHC Accelerator Research Program
BNL - FNAL- LBNL - SLAC
  • LARP Mini-Workshop on E-Lens Simulations, BNL
  • December 3, 2008
  • Alexander Valishev (FNAL)

2
Some History
  • Initially LIFETRAC was developed by D.Shatilov
    for simulation of the equilibrium distribution of
    the particles in circular electron-positron
    colliders . In 1999 the new features have been
    implemented, allowing simulation of
    non-equilibrium distributions, i.e. proton beams.
    In this case the goal of simulations is not to
    obtain the equilibrium distribution but to
    observe how the initial distribution is changing
    with time. Number of simulated particles can vary
    in the range of 103 to 106 (usually 104). The
    tracking time is divided into steps'', usually
    104 turns. The statistics obtained during the
    tracking (1D histograms, 2D density in the space
    of normalized betatron amplitudes, luminosity,
    beam sizes and emittances) is averaged over all
    particles and all turns for each step. So, we get
    a sequence of frames representing evolution of
    the initial distribution.
  • The code is programmed in FORTRAN90

D.Shatilov, Part. Accel. 52, 65 1996
3
Main Features
  • Initial distribution for weak bunch is either
    Gaussian or read from external file. Particles
    have weights
  • Strong bunch is divided into slices
    longitudinally (typically 12 for head-on)
  • Slices have bi-Gaussian distribution 6D
    symplectic kick formulae
  • Non-Gaussian distribution can be simulated as a
    superposition of Gaussian harmonics
  • Machine optics comprised of thin 6D maps
  • Lattice chromaticity (1st and 2nd order)
  • Effects of random noise (introduced as thin 6D
    kick)
  • Several types of electron lenses (transverse
    distributions, edge fields, current ripple, etc.)
  • Parallel

4
Machine Optics
  • Linear 6D maps for transport between IPs
  • Maps can be supplied directly or
  • Computed from conventional or coupled b-functions
  • Thin sextupole and octupole (recently introduced
    general multipole up to 10th order)
  • Beams separation for helix or pretzel
  • Longitudinal motion with sinusoidal RF

5
Treatment of Chromaticity
  • Chromaticity of b-functions excited in the Main
    IPs. A Hamiltonian was built producing the
    chromaticity of b-functions via drift spaces
    where the transverse momentum is large (low-beta
    regions). The symplectic transformations for that
    are
  • where L is the chromatic drift'' length
  • Betatron tune chromaticities (also affected by
    chromatic drift') are adjusted using an
    artificial element (insertion) with the following
    Hamiltonian

6
LIFETRAC Input
  • Start from machine model in OptiM or MAD-X
  • Extract b-functions at IPs, at multipoles and at
    E-Lenses
  • Extract multipole parameters
  • perl script converter for lifetrac (with GUI in
    case of OptiM)
  • Provide beam parameters (intensity, emittances)

7
LIFETRAC Output
  • 2D distributions and histograms at each step
  • Emittances
  • Luminosity
  • Lost particles (turn at which they hit the
    aperture and coordinates)
  • Turn-by-turn dipole moment
  • Tune footprint

8
Sample Output
Effect of betatron tune chromaticity
9
New RHIC E-Lens
  • IRerrcorr_685695_IP10_10m
  • RHIC with EL,
  • 540 10th order multipoles
  • 10,000 particles
  • 3.3E6 turns 5 days on 32 CPUs
  • Without multipoles
  • 10,000 particles
  • 1E7 turns 43 hours on 8 CPUs

10
RHIC E-Lens
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