Elias Métral /1 POWER SPECTRA COMPARISON BETWEEN DIFFERENT TYPES OF LONGITUDINAL BUNCH PROFILES FOR THE LHC BUNCH AT 3.5 TEV Elias Métral Elias Métral u Examples of measured bunch spectra u Comparison of 4 very different longitudinal bunch profiles and corresponding power spectra u Comparison of several longitudinal bunch profiles close to Gaussian ones (BUT with finite tails), and corresponding power spectra u What is the distribution fitting best (one) measurement? u Analysis by ThemisM from BQM data and associated spectrum u Conclusion 16
2 EXAMPLES OF MEASURED BUNCH SPECTRA Measurements on B1 by Themis and Philippe on fill # 2261 Reminder on the Average power deposited per unit length [W/m] Elias Métral / It was mentioned that it is in fact the power spectrum 16
3 4 THEORETICAL LONGITUDINAL BUNCH PROFILES Elias Métral / 16
4 CORRESPONDING POWER SPECTRA (1/2) Elias Métral / 16
5 CORRESPONDING POWER SPECTRA (2/2) Elias Métral / 16
6 COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (1/6) Elias Métral / 7 Gaussian Family of distributions, depending on n and converging to a Gaussian when n goes to infinity n = 1 n = 5
7Elias Métral / COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (2/6) Gaussian n = 5 16 Power spectrum
8Elias Métral / COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (3/6) Gaussian n = 4 16 Power spectrum
9Elias Métral / COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (4/6) Gaussian n = 3 16 Power spectrum
10Elias Métral / COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (5/6) Gaussian n = 2 16 Power spectrum
11Elias Métral / COMPARING LONGITUDINAL BUNCH PROFILES CLOSE TO GAUSSIAN BUT WITH FINITE TAILS (6/6) Gaussian n = 1 16 Power spectrum
12 WHAT IS THE DISTRIBUTION FITTING BEST (ONE) MEASUREMENT? Elias Métral / 16 Theoretical power spectrum for the Water-bag bunch with Measurements on B1 by Themis and Philippe on fill # 2261
13 ANALYSIS BY THEMIS FROM BQM DATA u 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 u 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)) u 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 u 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 u => 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) Elias Métral / 16
14 WHAT IS THE PREDICTED POWER SPECTRUM FOR THE VALUE DEDUCED BY THEMIS FROM BQM => ~ 0.8 ns? Elias Métral / 14 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
15 CONCLUSION u 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 u This distribution is very different from Gaussian-types with finite tails u 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) u 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.) Elias Métral / 16
16 ACKNOWLEDGEMENTS u Many thanks to Alexej Grudiev, Alexey Burov, Benoit Salvant, Carlo Zannini, Elena Shaposhnikova, Hannes Bartosik, Hugo Alistair Day, Nicolo Biancacci, Olav Ejner Berrig, Philippe Baudrenghien, Themistoklis Mastoridis, etc. for very interesting discussions => To be followed up Elias Métral / 16