CTF3 ORBIT : TOOLS AND AUTOMATIC TUNING Davide Gamba 4 February 2014 CLIC Workshop 2014 - CERN.

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Presentation transcript:

CTF3 ORBIT : TOOLS AND AUTOMATIC TUNING Davide Gamba 4 February 2014 CLIC Workshop CERN

Outlook CTF3: the CLIC Test Facility at CERN. Steering necessities. A general feedback algorithm and its implementation. – Preliminary results and issues. Work in progress: new tools. – Dispersion measurement from Jitter. – “Jitter free steering.” – Dispersion matching. Summary.

CTF3: the CLIC Test Facility at CERN. F ACTOR 2 R ECOMBINATION F ACTOR 2 R ECOMBINATION D RIVE B EAM G UN D RIVE B EAM G UN F ACTOR 4 R ECOMBINATION F ACTOR 4 R ECOMBINATION P ROBE B EAM P HOTO -I NJECTOR P ROBE B EAM P HOTO -I NJECTOR T WO B EAM T EST S TAND (TBTS) D OGLEG E XPERIMENT D ECELERATION T EST B EAM L INE (TBL) P HOTO I NJECTOR T ESTS XBOX EXPERIMENT XBOX EXPERIMENT CR 84 [m] DL 42 [m] Building 2001 Building 2013 Building 2010 Building 2003 CLEX area

Steering necessities. For machine operation and optimization we need a general tool to control the orbit of the beam. It has to deal with some intrinsic limitations Data acquisition is affected by noise – White noise – Not null dispersion and energy jitter Non responsive control system – Delicate F RONT -E NDS Instable beam (mainly coming from RF instabilities) B EAM POSITION may not be a well defined measurement in case of losses Challenging machine – MADX model not always accurate – Aperture limitations Algorithm to measure the response matrix needed Has to be “fast” compared to machine faults and drifts Has to be able to follow slow drifts of the machine

Steering necessities. Final aim: during recombination, different section of the initial train take different paths. O NLY ONE SECTION OVER TWO IS DELAYED INTO THE D ELAY L OOP T HEY DON ’ T NECESSARILY COME BACK ON THE SAME TRAJECTORY. I NITIALLY WE ONLY HAVE A LONG TRAIN “ DIVIDED ” INTO 8 SECTIONS, EACH 140 NS LONG P ROJECTED EMITTANCE BLOW - UP. I NCREASED LOSSES. P ROJECTED EMITTANCE BLOW - UP. I NCREASED LOSSES. I N THE C OMBINER R ING ALL THE 8 SECTIONS CAN END UP IN HAVING DIFFERENT ORBITS

Feedback implementation Developed a Matlab application for generic linear feedbacks.

First attempt First stage: match orbits of delayed and not-delayed trains. U SE CORRECTORS IN D ELAY L OOP F ORCE THE SAME ORBIT IN THE NEXT T RANSFER L INE (TL1) In principle only two correctors with the right phase advance are needed. – Aperture limitations may impose to use more correctors.

Preliminary result – 1 st run 2013 “Orbit matching” in TL1

Preliminary result – 1 st run 2013 A first issue: straight and delayed beam have different energy From a rough estimation, this offset is related to a Δp/p = of the delayed beam. From a rough estimation, this offset is related to a Δp/p = of the delayed beam. Note: the injector was not properly optimized. These results were not obtained in normal condition of operation.

Detail: energy along the pulse We are affected by a natural jitter of the energy. Beam energy along the pulse is also not always flat. Thanks to generality of our feedback tool we can use it to shape the RF power of last linac structures to try to compensate the second effect. Jitter, as expected, doesn’t change…. …But we can use it… After summer shutdown: looking at energy jitter markup in beam position trace in dispersive region. Note: 3Ghz beam for factor 4 recombination, i.e. different setup respect to previous slide! Note: 3Ghz beam for factor 4 recombination, i.e. different setup respect to previous slide!

Dispersion measurement from Jitter Developed an application to passively measure dispersion by beam jitter.

Jitter free steering The first area where we have dispersion is at the end of Drive Beam linac, where a chicane is installed. N OMINALLY DISPERSION FREE N OMINALLY NON ZERO DISPERSION N OMINALLY NON ZERO DISPERSION

Jitter free steering Using the same feedback application and measuring dispersion as jitter (std). Change correctors inside chicane to reduce jitter (i.e. dispersion) downstream. Acquiring 30 beam pulses for each iteration. Main disadvantage: RM measurement and correction takes longer time. Preliminary results!

Work in progress

Study: orbits and dispersion relation Let’s consider a small line done with thin ideal elements. We can only measure the beam position at BPM location. – [we treat the beam as a single particle] We can only set currents of correctors, bending magnets and quadrupoles. – [we imagine to switch off sextupoles and higher order elements] In principle we don’t know exactly: – Initial beam conditions (x 0, x 0 ’, energy) – Element misalignments [we only consider effects from quadrupoles and BPMs transvers misalignments] – The right balance between the current set to the dipoles and the current set to quadrupoles in order to correctly match them to the same energy.

Study: orbits and dispersion relation We can write the equation that takes into account all the parameters and imagine to scale all the quadrupoles together by a scaling factor f = 1+δf After some algebra and approximations, we can write: At the same time we can write an approximation of the Dispersion (f=1): … but also the second order Dispersion: NOTE: the coefficients α i of first equation are easily measurable by changing the magnetic elements few times, measure the beam position and then fit the data.

Procedure: fit dispersion (Dispersion Matching) A special relation can also be written to correctly scale quadrupoles and bending magnet in order to adjust the line to the energy of the beam. Coefficients α 2 and α 5 can be measure as in previous slide, even changing only the current of the bending magnet and by scaling all the quadrupoles. NOTE: This will not match the actual dispersion with the designed one. NOTE2: This will properly set the main magnetic element strength. We need to correct for spurious dispersion by solving Very similar to a Dispersion Free Steering (DFS), even if line with dispersion.

S IMULATION 1: measurement of bendings magnets D x Reconstruction doesn’t depend on elements misalignment! Quadrupoles misalignments σ = 1 [mm] Quadrupoles misalignments σ = 1 [mm]

S IMULATION 1: measurement of bendings magnets Dx Quadrupoles misalignments σ = 1 [mm] Quadrupoles misalignments σ = 1 [mm]

S IMULATION 1: measurement of bendings magnets Dx Quadrupoles misalignments σ = 1 [mm] Quadrupoles misalignments σ = 1 [mm]

S IMULATION 1: measurement of bendings magnets Dx Quadrupoles misalignments σ = 1 [mm] Quadrupoles misalignments σ = 1 [mm] Discrepancy reduced if quad misalignment reduced to σ < 0.5 [mm]

S IMULATION 2: Dispersion Matching Full correction starting from unknown energy, ratio dipoles/quadrupoles, misalignments.

S IMULATION 2: Dispersion Matching Running 100 different machines and correcting them (noiseless!).

Summary What has been done: - Developed and tested a generic linear feedback. - Smart way to measure the response matrix: it can work in quasi-parasitic mode and/or during orbit correction. - First results and characterization of possible limitations. What is ongoing: - Dispersion measurements from jitter. - “Jitter free” steering. - Machine Tuning by targeting nominal dispersion. - Dispersion Matching Steering. What is next: - Demonstrate the possibility to match the two orbits in TL1 within noise level. - Apply the feedback for the full closure of CR. - Measure the improvement in beam emittance and power production stability.

Thank you.

Effect of mismatched quadrupoles or bendings

Effect of quadrupole misalignment