Oleksiy Kononenko CERN and JINR

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Presentation transcript:

Oleksiy Kononenko CERN and JINR Simulations and Plans for a Beam-Loading Compensation Experiment in CTF3 Oleksiy Kononenko CERN and JINR CLIC Workshop, CERN, 29/01/2013 O. Kononenko, CLIC Workshop, CERN, 29/01/2013

Outline Introduction and Motivation Possible experiments in CTF3 Simulation of RF power production Optimization of RF pulse shape Conclusions and further steps O. Kononenko, CLIC Workshop, CERN, 29/01/2013

Introduction and Motivation Beam-loading compensation is an important CLIC performance issue. In order to keep the luminosity losses less than 1% the rms of bunch to bunch relative energy spread must be below 0.03% CLIC CDR, §2.5.8, http://project-clic-cdr.web.cern.ch/project-clic-cdr

Beam-Loading Compensation for CLIC To compensate for a transient beam-loading in CLIC main linac a specially shaped ramped pulse is needed ensuring the CLIC requirement of 0.03% for the energy spread in main beam. Optimized RF Power shape Unloaded/beam-induced/loaded voltages O. Kononenko and A. Grudiev, Transient beam-loading model and compensation in Compact Linear Collider main linac, Phys. Rev. ST Accel. Beams 14, 111001 (2011) http://prst-ab.aps.org/abstract/PRSTAB/v14/i11/e111001

CLIC vs CTF3: Layouts CLIC Layout CTF3 Layout x4

CLIC vs CTF3: Relevant Parameters Drive Beam Delay loop x2 Combiner Ring #1 x3 x4 Combiner Ring #2 - PETS length 0.213 m 1 m PETS power 63.1 MW 30-70 MW Pulse length 244 ns 140-280 ns Main Beam Bunch Frequency 2 GHz 1.5 GHz Number of Bunches 312 1-226 Bunch Charge 0.6 nC 0.1-0.6 nC Injection Energy 2.424 GeV 177 MeV Injection Energy Spread 1.3% (at linac injection) <1% (from CALIFES)

CTF3 Experiments Ultimate goal: optimize the RF power shape generated in PETS varying delays in the drive-beam buncher to minimize the energy spread in the accelerated probe beam Not enough charge in probe beam to produce beam-loading effect comparable to CLIC, however we could reduce the power and investigate the scaled phenomena

CTF3 Experiments Realistic experiment: produce an optimized RF pulse shape in PETS and take beam-loading into account numerically to calculate the energy spread We can measure RF power generated in PETS as well as scan the voltage profile in AS with a very low charge probe beam

PETS and 2 AS’s as installed in TBTS Roger Ruber, 14/09/2012 PETS and AS’s in TBTS 1m PETS and 2 TD24 accelerating structures are installed currently in TBTS. Recirculation is not used for the moment. PETS and 2 AS’s as installed in TBTS Roger Ruber, 14/09/2012

RF Generation in PETS Igor Syratchev Measured transfer spectra of the recycling loop 0N OFF artificial RF phase delay for tuning PETS single bunch response (GDFIDL) Number of round trips OFF case Number of bunches Multi-bunch part OFF case Igor Syratchev OFF case The complete system single bunch response and spectrum RESULT

RF Generation in PETS PETS bunch response phase and amplitude Bunch charge Bunch separation time including delays and phase variation Bunch length Dependence - charge variation phase variation bunch length variation - no recirculation - no on/off mechanism - no artificial phase delay for tuning

PETS Bunch Response Simulation Investigating the spectrum one can see that the operating frequency as calculated in GdfidL is higher than the design one, since the volume of the cubic mesh is smaller than the real PETS volume. 12.294 GHz PETS bunch response PETS bunch response spectrum Igor Syratchev’s simulation in GdfidL, σ = 2mm

PETS Spectrum Scaling We scale the frequency range appropriately to overcome the GdfidL numerical effect: RGdfidL(t) → [fft] → RGdfidL (f) → [f scaling] → Rscaled (f) → [ifft] → Rscaled (t) 11.994 12.294 Scaled and simulated PETS spectrums Scaled and simulated PETS bunch responses

Beam-Loading Simulation Tool The tool has been originally developed for the CLIC RF pulse shape optimization (to compensate transient beam-loading) and now has been extended to cover CTF3. combination schemes: with/without DL, CR1, CR2 transient bunches during phase switch phase variation charge variation bunch length variation

Simulation of RF Power Production We’re simulating power shapes for different drive beam profiles as well as taking phase, charge and bunch length variations into account. For these simulations we normalize the power to the CLIC power level of 63.1 MW. Frequency, GHz Combination Factor Uncombined Pulse Length, μs Combined Pulse Length, μs Number of Bunches 1.5 - 1.12 1680 2x4 0.14 3 3360 4 0.28 Combination schemes currently available in CTF3

Bunch length variation Frequency Effect Frequency, GHz Combination Phase variation Charge variation Bunch length variation 1.5/3 x8/x4/No No Power for 1.5 GHz drive beam Power for 3 GHz drive beam

Drive Beam Phase Measurements Drive beam phase variation measured by Emmanouil Ikarios on 19.09.2012 at CT.STBPR0532S, 10.4 ns time resolution, 1217 pulses. Position of CT.STBPR0532S in CTF3 ― Min ― Max ― Mean Phase variation along the drive beam @3 GHz

Phase Variation Effect Frequency, GHz Combination Phase variation Charge variation Bunch length variation 1.5/3 x8/x4 Yes/No No Power for 1.5 GHz x8 drive beam Power for 3 GHz x4 drive beam

Phase Measurements: Improved Phase Improved phase variation measured by Frank Tecker on 09.10.2012 at CL.STBPR0475S, 10.4 time resolution Position of CL.STBPR0475S in CTF3 Phase variation along the drive beam @1.5 GHz

Phase Variation Effect Frequency, GHz Combination Phase variation Charge variation Bunch length variation 1.5/3 x8/x4 Yes/No No Power for 1.5 GHz x8 drive beam Power for 3 GHz x4 drive beam

Drive Beam Charge Measurements Drive beam charge variation measured by Reidar Lunde Lillestol on 20.11.2012 at SVBPM0150S 5.2 ns time resolution, R56 = 0.2 Position of SVBPM0150S in CTF3 Charge variation along the uncombined drive beam @3 GHz

Charge Variation Effect Frequency, GHz Combination Phase variation Charge variation Bunch length variation 1.5/3 x8/x4/No No Yes Power for 1.5 GHz drive beam Power for 3 GHz drive beam

Bunch Length Measurements Javier Barranco Garcıa, “R56 and bunch length measurement”, https://indico.cern.ch/getFile.py/access?contribId=1&resId=0&materialId=slides&confId=211350 Bunch length measurements in CTF3, http://elogbook/eLogbook/eLogbook.jsp?shiftId=1049890 We also take into account that the measurements “length” is indeed FWHM, so we use the formula to convert to sigmas:

Fitted Bunch Length Variation This corresponds to 20-15-25 ps lengths in time domain, @1.5 GHz Fitted typical bunch length variation along the 3GHz drive beam

Bunch length variation Bunch Length Effect Frequency, GHz Combination Phase variation Charge variation Bunch length variation 1.5/3 x8/x4/No No Yes Power for 1.5 GHz drive beam Power for 3 GHz drive beam

RF Power Production Simulation Frequency, GHz Combination Phase variation Charge variation Bunch length variation 1.5/3 x8/x4/No Yes Power for 1.5 GHz drive beam Power for 3 GHz drive beam

Optimized Power for 2x4 Combination We consider 1.5 GHz beam and 2x4 combination, normalizing to the CLIC power level of 63.1 MW since in this case we can produce upto 70MW of power in CTF3. We do the optimization only for Nb = 100 in main beam, since the RF pulse is only 140ns. RF Power shape optimized with 7 knobs Unloaded/loaded/beam-induced voltages Energy spread = 0.02%, Tinj = 88.054 ns

Optimized Power for x4 Combination We consider 3 GHz beam and x4 combination normalizing to 30 MW power level. We downscale the beam-loading to keep the Vunloaded/Vbeam ratio constant. RF Power shape optimized with 3 knobs Unloaded/loaded/beam-induced voltages Energy spread = 0.48%, Tinj = 87.637 ns

Conclusions and Further Steps Variety of the performed RF power simulations illustrates that we need to take into account many measured drive-beam parameters and settings in order to predict the generated power correctly Pulse shape optimization results look reasonable and we could proceed with the measurements and comparisons Experiment is scheduled for the beginning of February 2013

Thank you for your attention! and special thanks to Roberto Corsini, Frank Tecker and Alexej Grudiev for support of this work