Luminosity Optimisation Overview Philip Burrows (QMUL) • • • • • • Introduction Tools Active component stabilisation Beam-based feedback Beam parameter diagnostics Summary Philip Burrows MDI Workshop, SLAC 6-8/01/05 1. Introduction Relative component displacement -> emittance blowup (linac, BDS) mis-steering (FF), esp. final quads IP • ‘static’ effects: misalignments … • diffusive effects: settling, hydrology … • ‘seismic’ motion: earthquakes, ocean waves … • cultural/facilities noise: traffic, pumps, water flow… • slow drifts: temperature, pressure … Philip Burrows Luminosity vs. beam offset 50nm: ~ 80% lost MDI Workshop, SLAC 6-8/01/05 Available solutions • Optimise site choice + civil/mech. engineering: minimise (relative) component motion • Active component stabilisation: compensate via (inertial/optical) feedback • Beam-based feedback/scans: move beam(s) position/angle via feedback • Integrated system: some/all of the above working in harmony Philip Burrows MDI Workshop, SLAC 6-8/01/05 Issues for machine-detector Interface • Stabilisation of final doublets • Intra-train and pulse-pulse beam feedback • Beam parameter diagnostics Terse summary/overview: hopefully raise issues for discussion Philip Burrows MDI Workshop, SLAC 6-8/01/05 2. Tools • • • • • Ground motion data/models Facilities noise models Linac -> IP beam transport PLACET+MERLIN DIMAD+LIAR integrated Matlab environment: MatMERLIN, MatLIAR Beam-beam interaction: luminosity, backgrounds CAIN GUINEAPIG Materials/detector simulations: shower tracking GEANT3 -> GEANT4 EGS Philip Burrows MDI Workshop, SLAC 6-8/01/05 Site studies + ground motion CDR/TDR: more studies to bound problem? (Seryi) studies of specific sites? Philip Burrows MDI Workshop, SLAC 6-8/01/05 Facilities Noise Not difficult to find noisy environments! Example: noise at SLD TDR: need to model for real engineered MDI design? Philip Burrows MDI Workshop, SLAC 6-8/01/05 Engineering approach (Asiri) Select a Location (Representative Site) Good Geology and Quiet Geotechnical Studies (Soil/Rock Classification) Select and Locate Near-Field (Cryo/compressors, pumps) Far-Field Excitation (Ambient Ground Motion Measurement) Attenuation Characteristics of Soil/Rock Estimate Near-Field Excitation (At Their Footings) Estimate Vibration @ Invert of Beam Housing ( Response to Near and Far Fields Sources) Done O(1) for few sites Revisit for cold ILC Reestablish for cold ILC Adopt as a Concept Design Requirement Philip Burrows Yes Acceptanc e Criteria No MDI Workshop, SLAC 6-8/01/05 2. Tools • • • • • Ground motion data/models Facilities noise models Linac -> IP beam transport PLACET+MERLIN DIMAD+LIAR integrated Matlab environment: MatMERLIN, MatLIAR Beam-beam interaction: luminosity, backgrounds CAIN GUINEAPIG Materials/detector simulations: shower tracking GEANT3 -> GEANT4 EGS Philip Burrows MDI Workshop, SLAC 6-8/01/05 Codes Database Page http://hepwww.ph.qmul.ac.uk/~white/accodes/codedeb.htm Philip Burrows MDI Workshop, SLAC 6-8/01/05 Example: GUINEA PIG Page http://hepwww.ph.qmul.ac.uk/~white/accodes/guinea.htm Philip Burrows MDI Workshop, SLAC 6-8/01/05 QMUL High Throughput Cluster (HTC) • 174 x 2 GHz cpus • 40 TB attached storage • GBit ethernet • Peak capacity: 50k cpu-hours/week • 400k cpu-hours used for LC simulations (9 mos.) • Another 2-300 ‘boxes’ by Spring 06 Philip Burrows MDI Workshop, SLAC 6-8/01/05 Linac to IP Simulation Results Repository http://hepwww.ph.qmul.ac.uk/lcdata/ Philip Burrows MDI Workshop, SLAC 6-8/01/05 Output files Philip Burrows MDI Workshop, SLAC 6-8/01/05 3. Final quadrupole stabilisation IP Passive: ‘cushioned’ magnet supports support tube connecting opposite sides of IR Active: inertial stabilisation optical anchoring schemes NB: details linked to final doublet technology (Parker et al), crossing angle … Philip Burrows MDI Workshop, SLAC 6-8/01/05 Final doublet stabilisation: inertial (SLAC, CERN/CLIC …) SLAC: mockup of final quad girder: Non-magnetic inertial sensor CERN: stabilisation of CLIC quad: Sub-nm achieved > few Hz Philip Burrows MDI Workshop, SLAC 6-8/01/05 Final doublet stabilisation: optical (UBC, SLAC, CERN, KEK …) Optical anchor concept UBC prototype 10kg mass: 90 -> 5 nm (ground) 4.5 -> 1.5 nm (isolated) Optical anchor system in development: NanoBPM project (ATF) Philip Burrows MDI Workshop, SLAC 6-8/01/05 ‘Nano’ Project at KEK ATF System test: aim for optical-anchor stabilisation of pair of BPM triplets at nm level, with intra-train beam FB/FF Philip Burrows MDI Workshop, SLAC 6-8/01/05 Possible ATF optical anchor scheme (Oxford): simulations in progress Philip Burrows Urner MDI Workshop, SLAC 6-8/01/05 4. Beam-based feedback • ‘slow’ upstream orbit feedbacks • IP pulse-pulse feedback (5 Hz) • IP intra-train (bunch-bunch) feedback: 3 MHz Position and angle corrections: most critical in vertical dimension Philip Burrows MDI Workshop, SLAC 6-8/01/05 Beam-beam deflection GUINEAPIG simulations (White) Deflection curve depends on: Q, sigma-x, sigma-y, sigma-z … Philip Burrows MDI Workshop, SLAC 6-8/01/05 Intra-train Beam-based Feedback Concept (same hardware for pulse-pulse FB) Intra-train beam feedback is last line of defence against relative beam misalignment Key components: Beam position monitor (BPM) Signal processor Fast driver amplifier E.M. kicker Fast FB circuit TESLA TDR: principal IR beam-misalignment correction Philip Burrows MDI Workshop, SLAC 6-8/01/05 Zero-degree crossing angle (TESLA TDR) FB BPM Upstream kicker(s) Philip Burrows MDI Workshop, SLAC 6-8/01/05 ‘Large’ crossing angle (NLC) kicker Philip Burrows FB BPM MDI Workshop, SLAC 6-8/01/05 Angle feedback: upstream in BDS 30 y (m) 25 20 ~450 m BPM 2 ~158 m 15 BPM 1 10 Kicker R 5 300 400 500 600 700 800 900 1000 Distance from IP (m) Place kicker at point with IP phase. BPM at phase 90 degree downstream from kicker. Philip Burrows MDI Workshop, SLAC 6-8/01/05 Angle feedback: locally near IP – crab cavity (IR with crossing angle) Fast phase adjust using a second klystron and fast phase difference. Needs careful integration into MDI design! Diagram by J. Frisch Philip Burrows MDI Workshop, SLAC 6-8/01/05 IP Feedback model Linearise Beam-Beam Kick Curve Response Philip Burrows MDI Workshop, SLAC 6-8/01/05 Feedback Algorithm •Proportional-Integral (PI) Controller: k 1 uPI (k ) uP (k ) uI (k ) K Pe(k ) K I e( j ) j 0 •Subtract uPI(k-1) to get recursive algorithm: uPI (k ) uPI (k 1) K P e(k ) e(k 1) K I e(k 1) •2 free parameters: gains KP and KI : •KP provides fast response to error signal. •KI cancels steady-state error. •Iterate simulation to obtain optimum parameters to give fast correction and maintain collisions at 0.1y level. Philip Burrows MDI Workshop, SLAC 6-8/01/05 Illustration of Intra-train feedback performance (White/QMUL) (TESLA TDR) 3 x 10 34 Luminosity / cm-2s-1 OPTIMAL LUMINOSITY y angle scan 2 y position scan: optimise signal in pair monitor (+4%) 1 starting point: need to add y position FB: restore collisions within 100 bunches 1 seed: post-BBA Excellent 0 + GM 0 100 200 further ‘reality’ … 300 Bunch # 400 500 600 + wakes Philip Burrows MDI Workshop, SLAC 6-8/01/05 Intra-train beam feedback prototypes and beam tests (QMUL, Oxford, DL, SLAC, KEK …) FONT1 and FONT2 prototype intra-train FB systems tested with beam at SLAC/NLCTA. FONT3/FEATHER beam tests at KEK/ATF summer 2005: micron-level stability of 1.3 GeV ATF beam (model of nm- level stability of ILC beam) Full delay-loop feedback on: Cold ILC: robustness, Latency 53ns Philip Burrows algorithmic control MDI Workshop, SLAC 6-8/01/05 Continuing feedback hardware development Short-term: FONT3 at ATF: aim for micron-level stability of 1 GeV beam Long-term: demonstrate robust intra-train FB system for ILC, based on digital signal processing, and ideally test with beam: requires long bunchtrain with 337 ns bunch spacing 2005-6: 3 (or 4) bunches x 100 ns at ATF would allow first tests: stabilise last bunch at 100 nm level as part of Nano project also feed-forward studies ring -> extraction line? > 2006: 20 bunches x 337ns at ATF/ATF2 would allow FB algorithm development Philip Burrows MDI Workshop, SLAC 6-8/01/05 Backgrounds (QMUL) Feedback system incorporated into GEANT IR model Need to ensure: FB system performance OK, FB material does not cause additional backgrounds in detector. Considering experimental background tests at SLAC/ESA Philip Burrows MDI Workshop, SLAC 6-8/01/05 Pulse-pulse IP beam deflection feedback (Hendricksen) Input GM models Linac->IP tracking A, B, C: + 5 Hz FB (TESLA) <Luminosity> Need for intra-train FB Need to integrate simulation of FBs: upstream slow, active stabilisation, 5Hz, intra-train … Philip Burrows MDI Workshop, SLAC 6-8/01/05 SLC optimised ‘dither’ feedback at IP (Phinney) Deflection scans: 5 knobs/beam : x/y waist, x/y dispersion, coupling Old method: scan of New method: optimise lumi beam size vs. single knob: w. dither FB on each knob Poor resolution, lumi loss Philip Burrows Increased lumi, eased ops. MDI Workshop, SLAC 6-8/01/05 5. IP beam parameter diagnostics Sigma x Sigma y Sigma z What do you want to know?! Sigma x' Sigma y' x offset y offset x' offset y' offset x-waist shift y-waist shift Bunch rotation N particles/bunch Banana shape …… Luminosity Philip Burrows MDI Workshop, SLAC 6-8/01/05 Available diagnostics • • • • • Transverse emittance: sigma x, sigma y, sigma x’, sigma y’ laserwire etc. beam size monitors (probably upstream) Bunch length: sigma z electro-optic, ODR, Smith-Purcell etc. monitors Bunch charge: toroids Beam position/angle offsets: beam-beam deflections Luminosity Pair/beamstrahlung monitors Philip Burrows MDI Workshop, SLAC 6-8/01/05 Beam diagnostics possibilities in IR limited Lumi mon. (Bhabhas) Forward BSR mon. IP BPM (beam deflections) Philip Burrows MDI Workshop, SLAC 6-8/01/05 Beam parameters from beamstrahlung? (Stahl, White) Philip Burrows MDI Workshop, SLAC 6-8/01/05 Observables/Beam Params List •Sigma x E_tot r moment 1/r moment Thrust Direction Thrust Value Angular Spread E_out/E_in L-R Asymmetry T-B Asymmetry Diagonal Asymmetry N/E_tot Forward + backward calorimeters Philip Burrows •Sigma y •Sigma z •Sigma x' •Sigma y' Each variable where appropriate exists for the mean of e- + e+ bunch and difference in obs/par between them. •E •E spread •x Offset •x' offset •y offset •y'' offset •x-waist shift •y-waist shift • Bunch rotation • N particles/bunch • Amount of y+y’ type-1 banana • Amount of y+y’ type-2 banana • Amount of y+y’ type-3 banana MDI Workshop, SLAC 6-8/01/05 Parameter Reconstruction x [ x1 , x 2 ,....x n ]' x * x Design f n ( x) observable n for x vect or f n ( x * ) observable n for x * design vec tor 1 * ~ f ( x) f ( x ) ( x x )' div.[ f ( x )] ( x x )' A( x x * ) ... 2 2 f 2 f 2 f •Compute Taylor matrices through . multiple GP runs varying beam 2 x x x x x 1 2 1 n params-> use Grid computing at QM 21 to do in finite time (have to stick to f ~ . . . 2nd order calculations realistically). A x x •For parameter reconstruction: 2 1 . . . Solve x for given f(x) using multi 2. 2 parameter fit. Prob. no unique f f . . solution- choice of fit technique 2 x n x1 x n likely to be important. n n Philip Burrows * * n * MDI Workshop, SLAC 6-8/01/05 Single-parameter analysis: sanity check Philip Burrows MDI Workshop, SLAC 6-8/01/05 Initial results (Gaussian beams) (Stahl) Seems to be promising; MUCH more study needed … Philip Burrows MDI Workshop, SLAC 6-8/01/05 Summary of collision optimisation/MDI issues • • • • • • Active position stabilisation of final quads? -> properly engineered design incl. laser tubes etc. (through detector) IP beam deflection feedback essential: intra-train and 5Hz -> FB BPM, kicker, cables … need integrating into MDI design -> understand background environment better Crab cavity could be used for angle feedback? -> needs integrating into real MDI design Fast bunch-by-bunch lumi measurement vital input to FB -> develop realistic prototypes of fast BSR/pair monitor BSR/pair monitor offers potential for beam parameter determination -> more simulation work needed Need to develop integrated FB + scanning strategy: -> intra-train + 5 Hz + dither + upstream slow + feedforward … Philip Burrows MDI Workshop, SLAC 6-8/01/05