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POWER SPECTRA COMPARISON BETWEEN DIFFERENT TYPES OF LONGITUDINAL BUNCH PROFILES FOR THE LHC BUNCH AT 3.5 TEV. Elias Métral. Examples of measured bunch spectra Comparison of 4 very different longitudinal bunch profiles and corresponding power spectra
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POWER SPECTRA • COMPARISON BETWEEN DIFFERENT TYPES • OF LONGITUDINAL BUNCH PROFILES • FOR THE LHC BUNCH AT 3.5 TEV EliasMétral • Examples of measured bunch spectra • Comparison of 4 very different longitudinal bunch profilesand corresponding power spectra • Comparison of several longitudinal bunch profiles close to Gaussian ones (BUT with finite tails), and corresponding power spectra • What is the distribution fitting best (one) measurement? • Analysis by ThemisM from BQM data and associated spectrum • Conclusion 16
EXAMPLES OF MEASURED BUNCH SPECTRA • Measurements on B1 by Themis and Philippe on fill # 2261 It was mentioned that it is in fact the power spectrum Reminder on the Average power deposited per unit length [W/m] 16
COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (1/6) Family of distributions, depending on nand converging to a Gaussian when n goes to infinity Gaussian n= 5 n= 1
COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (2/6) Power spectrum Gaussian n= 5 16
COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (3/6) Power spectrum Gaussian n= 4 16
COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (4/6) Power spectrum Gaussian n= 3 16
COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (5/6) Power spectrum Gaussian n= 2 16
COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (6/6) Power spectrum Gaussian n= 1 16
WHAT IS THE DISTRIBUTION FITTING BEST (ONE) MEASUREMENT? Theoretical power spectrum for the Water-bag bunch with Measurements on B1 by Themis and Philippe on fill # 2261
ANALYSIS BY THEMIS FROM BQM DATA • The BQM reports the full-width at half maximum (FWHM) scaled by sqrt(2/ln(2)). The scaling is set to report a 4-sigma width assuming a Gaussian bunch • If we assume a Water-bag bunch distribution, the FWHM equals tau*sqrt(3)/2, where tau is the full width of the Water-bag model. As such, for a Water-bag bunch, the BQM will report tau*sqrt(3/2/ln(2)) • Therefore, a reported value of 1.1 ns (from the BQM) corresponds to a width of just 0.75 ns for the Water-bag model • The BQM reported bunch lengths at the end of the ramp for fill 2261 of 1.2 and 1.15 ns for B1, B2 respectively. These values correspond to a bunch width of 0.81 and 0.78 ns respectively for a Water-bag bunch • =>Seems that the bunch spectra together with the BQM data are consistent with a bunch distribution close to a Water-bag with ~ 0.75 – 0.8 ns (full bunch length at the base)
WHAT IS THE PREDICTED POWER SPECTRUM FOR THE VALUE DEDUCED BY THEMIS FROM BQM => ~ 0.8 ns? Theoretical power spectrum for the Water-bag bunch with Measurements on B1 by Themis and Philippe on fill # 2261 Theoretical power spectrum for the Water-bag bunch with
CONCLUSION • The best fit of (one of) the measured power spectra in stable beams (of the previous slide) is obtained for a Water-bag bunch with a total bunch length (at the base) of 0.75 ns • This distribution is very different from Gaussian-types with finite tails • According to the analysis done by ThemisM from BQM data, it seems that the bunch spectra together with the BQM data are consistent with a bunch distribution close to a Water-bag with a full bunch length at the base close to 0.75 ns (a reported value of 1.1 ns from the BQM corresponds to a width of just 0.75 ns for the Water-bag model) • Comment from AlexeyB: Theoretically, the distribution after the emittance blow-up must be water-bag if the width of the excitation line is much smaller than its detuning from 2*(maximal synchrotron frequency) => To be followed-up (and discussed also with J. Tuckmantel et at.)
ACKNOWLEDGEMENTS • Many thanks to AlexejGrudiev, AlexeyBurov, Benoit Salvant, Carlo Zannini, Elena Shaposhnikova, HannesBartosik, Hugo Alistair Day, NicoloBiancacci, Olav EjnerBerrig, Philippe Baudrenghien, ThemistoklisMastoridis, etc. for very interesting discussions => To be followed up