#----------------------------------------------------
bunch_tmp = Bunch()
bunch.copyEmptyBunchTo(bunch_tmp)
bunch_tmp.addPartAttr('ParticlePhaseAttributes')
#----------------------------------------------------
# Define twiss analysis and output dictionary
#----------------------------------------------------
bunchtwissanalysis = BunchTwissAnalysis() #Prepare the analysis class that will look at emittances, etc.
get_dpp = lambda b, bta: np.sqrt(bta.getCorrelation(5,5)) / (b.getSyncParticle().gamma()*b.mass()*b.getSyncParticle().beta()**2)
get_bunch_length = lambda b, bta: 4 * np.sqrt(bta.getCorrelation(4,4)) / (speed_of_light*b.getSyncParticle().beta())
get_eps_z = lambda b, bta: 1e9 * 4 * pi * bta.getEmittance(2) / (speed_of_light*b.getSyncParticle().beta())
output = Output_dictionary()
output.addParameter('turn', lambda: turn)
output.addParameter('intensity', lambda: bunchtwissanalysis.getGlobalMacrosize())
output.addParameter('n_mp', lambda: bunchtwissanalysis.getGlobalCount())
output.addParameter('gamma', lambda: bunch.getSyncParticle().gamma())
output.addParameter('mean_x', lambda: bunchtwissanalysis.getAverage(0))
output.addParameter('mean_xp', lambda: bunchtwissanalysis.getAverage(1))
output.addParameter('mean_y', lambda: bunchtwissanalysis.getAverage(2))
output.addParameter('mean_yp', lambda: bunchtwissanalysis.getAverage(3))
output.addParameter('mean_z', lambda: bunchtwissanalysis.getAverage(4))
output.addParameter('mean_dE', lambda: bunchtwissanalysis.getAverage(5))
output.addParameter('epsn_x', lambda: bunchtwissanalysis.getEmittanceNormalized(0))
output.addParameter('epsn_y', lambda: bunchtwissanalysis.getEmittanceNormalized(1))
output.addParameter('eps_z', lambda: get_eps_z(bunch, bunchtwissanalysis))
output.addParameter('bunchlength', lambda: get_bunch_length(bunch, bunchtwissanalysis))
output.addParameter('dpp_rms', lambda: get_dpp(bunch, bunchtwissanalysis))
if frozen or slicebyslice:
# Define twiss analysis and output dictionary
#----------------------------------------------------
bunchtwissanalysis = BunchTwissAnalysis(
) #Prepare the analysis class that will look at emittances, etc.
get_dpp = lambda b, bta: np.sqrt(bta.getCorrelation(5, 5)) / (
b.getSyncParticle().gamma() * b.mass() * b.getSyncParticle().beta()**2)
get_bunch_length = lambda b, bta: 4 * np.sqrt(bta.getCorrelation(4, 4)) / (
speed_of_light * b.getSyncParticle().beta())
get_eps_z = lambda b, bta: 1e9 * 4 * pi * bta.getEmittance(2) / (
speed_of_light * b.getSyncParticle().beta())
output_file = 'Output/output.dat'
output = Output_dictionary()
output.addParameter('turn', lambda: turn)
output.addParameter('intensity',
lambda: bunchtwissanalysis.getGlobalMacrosize())
output.addParameter('n_mp', lambda: bunchtwissanalysis.getGlobalCount())
output.addParameter('gamma', lambda: bunch.getSyncParticle().gamma())
output.addParameter('mean_x', lambda: bunchtwissanalysis.getAverage(0))
output.addParameter('mean_xp', lambda: bunchtwissanalysis.getAverage(1))
output.addParameter('mean_y', lambda: bunchtwissanalysis.getAverage(2))
output.addParameter('mean_yp', lambda: bunchtwissanalysis.getAverage(3))
output.addParameter('mean_z', lambda: bunchtwissanalysis.getAverage(4))
output.addParameter('mean_dE', lambda: bunchtwissanalysis.getAverage(5))
output.addParameter('epsn_x',
lambda: bunchtwissanalysis.getEmittanceNormalized(0))
output.addParameter('epsn_y',
lambda: bunchtwissanalysis.getEmittanceNormalized(1))
output.addParameter('eps_z', lambda: get_eps_z(bunch, bunchtwissanalysis))
output.addParameter('bunchlength',
lambda: get_bunch_length(bunch, bunchtwissanalysis))
