New algorithms for tuning the CLIC beam delivery system

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Presentation transcript:

New algorithms for tuning the CLIC beam delivery system Andrea Latina (CERN) A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Outline of this talk CLIC BDS Tuning strategies BBA, and its pitfalls Luminosity tuning knobs Simulation results Conclusions and next step A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain CLIC BDS A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Emittance preservation in the CLIC BDS Control beam blow-up due to static imperfections We consider magnet displacements only Traditional Dispersion-free-steering algorithm works well in the Collimation section of the BDS but not in the FFS FFS is a highly non-linear system Traditional algorithms fail to preserve the emittance growth Emittance is not a good figure of merit Beam sizes and luminosity are better “reference” A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Tuning strategy Setup horizontal and vertical random magnets displacements:  =10 m rms bending magnets not misaligned 100 random seeds identical electron and positron machines Luminosity optimization (Simplex algorithm) All horizontal and vertical positions of the magnets are moved to reach maximum performance Horizontal and Vertical sextupole knobs Tuning steps Luminosity measurements required are O(10000) Knobs : L points  M knobs  N iter O( 100 ) Speed of convergence A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Luminosity results J. Barranco + B.Dalena linear knobs based on FFS sextupole H&V displacements (E. Marin) after 2 iterations of H and V knobs: 90% of the seed reach 90% of nominal luminosity luminosity optimization needs ~16000 luminosity measurements tuning knobs 20 points  8 knobs  2 iter ~ 320 luminosity measurements A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain New tuning strategy Same setup horizontal and vertical random magnets displacements:  =10 m rms bending magnets not misaligned 10 nm bpm resolution 100 random seeds identical electron and positron machines BBA: 1-to-1 correction + DFS (multipoles off), BBA: DFS (multipoles on) Horizontal and Vertical sextupole knobs Tuning steps BBA does not require luminosity measurement Knobs : L points  M knobs  N iter O( 100 ) Speed of convergence A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Luminosity results most of the luminosity is recovered by the sextupole knobs (10 H &V knobs ) 50% of machine reach 100% of nominal CLIC luminosity ~ 1000 luminosity measurement required Luminosity measurements reduced from ~17000 to ~500 It is much faster, but only 50% converges (long tail of seeds that do not converge) A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Tuning procedure in detail Step 1: 1-1 correction Step 2: 1-1 correction + dispersion free steering The free parameters beta, w1 (and, later, w2), and the gains, must be carefully chosen. I scan beta and run a simplex optimization of w1 and w2 to find the best combination A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Tuning procedure in detail Step 3: DFS with multipoles ON Step 4: Luminosity tuning knobs using sextupoles Repeat steps 1 to 4 a few times. A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Results for 110 machines A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Response matrix calculation BBA relies on orbit measurements and response matrix inversion. The response matrix can be calculated in different ways Exciting each corrector From the optics T12, T34 Fitting the beam We use (1) but probably it is not the optimal choice: Must remember that the system is highly not linear Response depends on the excitation of the kickers Radiation must be kept into account Must keep into account the energy profile along the BDS Need to carefully choose the appropriate method. Need to track a full bunch of particles (150-200k particles) to properly include the effect of radiation. A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Orbit response matrix A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Dispersion response matrix A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

LCWS11 – September 26-30, 2011 – Granada, Spain Tuning knobs Knobs are used to tune beam quantities such as beam size at the IP, or correlations. The knobs are calculated through a SVD decomposition of the beam covariance matrix in response to sextupoles displacements. Singular Value Decomposition A : response matrix U : orthonormal base in the cov. space W : singular values V : orthonormal base in the sext. space A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Luminosity tuning with the knobs The knobs are optimized applying the Brent Minimization Algorithm on the Luminosity (parabola minimization) to each knobs. For each knobs, three times: Minimize “-Luminosity”. A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Convergence of the tuning knobs A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Convergence of the tuning knobs A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Convergence of the tuning knobs A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Convergence of the tuning knobs A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain

Conclusions and new ideas The advantage of BBA is its speed. If carefully tuned, BBA can successfully be used also in the FFS. Carefully means: Appropriate choice of the response matrix Keep into account the energy loss due to SR Tune finely the free parameters Future work: Tuning knobs: evaluate the direct impact of each knobs on the Luminosity (FWHM) 2) Non-linear BBA Use not just 1st order response matrix, but also 2nd or 3rd order matrices PLACET can already generate 2nd order response matrices (first tests showed that 2nd is not sufficient) A. Latina LCWS11 – September 26-30, 2011 – Granada, Spain