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This paper discusses the advancements in linear optics corrections for the Relativistic Heavy Ion Collider (RHIC) and Alternating Gradient Synchrotron (AGS) through Orbit Response Matrix (ORM) methodologies. The objective is to minimize discrepancies between machine models and optics in both directions. Detailed discussions include the application of AC dipole optics, techniques from previous works, and iterative model adjustments based on measurements. The results demonstrate significant progress in reducing beta-beating and correcting gradient and BPM gain errors, aiming for optimal performance in particle acceleration.
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Linear Optics Corrections RHIC: Todd Satogata, Mei Bai, Jen Niedziela AGS: Vincent Schoefer, Kevin Brown, Leif Ahrens, … November 3, 2006 • Objective Reduce machine/model difference in optics, in both directions! • Orbit Response Matrix • AC Dipole Optics • AGS Orbit Response Matrix
Response Matrix Background • Originally used by Corbett, Lee, and Ziemann at SPEAR, 1993 • Popularized by Safranek at NSLS X-Ray Ring, 1994-6 • Orbit response matrix (with coupling/nonlinear feeddown): where (x,y) are corrector setting changes and (x,y) are measured difference orbits from these corrector settings. (There are also dispersive terms in Rij when fRF=constant, as was the case in RHIC measurements.) • Compare model and measured R “response matrices”, and iteratively make model changes to converge to agreement. • “Model changes” include quad gradients, BPM/corr gains, … • Measures gradient errors, BPM/corr gain errors, skew errors, … • RHIC AT storage lattices include snake matrices from Waldo T. Satogata - APEX Linear Optics
Response Matrix Background • The difference between Rmodel and Rmeasured is written as a single vector with length (NbpmsxNcorrs), and expanded in terms of variable changes vk, that include quad gradient errors, corrector and BPM gain errors, skew errors, etc: • This can be solved for vk with SVD, assuming a good model for . The quadrupole gradient error dependence is nonlinear, so the SVD solution is iterated through the model until it converges. Weight with BPM noise I T. Satogata - APEX Linear Optics
Simulation Results: No BPM Noise • Tested yellow store lattice, random –0.1 to 0.1% quad errs • With no BPM noise, fitting is “perfect” • Lattice is therefore nondegenerate T. Satogata - APEX Linear Optics
Issue: BPM Noise from 10 Hz • Average orbit noise at store: 30-40 um horizontal peak-peak • 7800 turn averaging gives 15-20 um peak-peak • Need ~10 orbits per data point to achieve 5 um BPM noise, including BPM change to average orbit sampling period T. Satogata - APEX Linear Optics
0.2% beta beat after fit 20% beta beat before fit Simulation Results: 30 um BPM Noise • With 30 um BPM noise, error bars are larger than errors • Fits are inexact, but method still converges – not unique • Beta beating is reduced by two orders of magnitude T. Satogata - APEX Linear Optics
Before After BPM error vs fit Corrector error vs fit Simulation Results: 30um BPM Noise and BPM/Corrector Gains • Simulation fits of BPM/corrector gains, 30 um BPM noise • Fits are very good, reduce gain errors by factor of 20 • BPM/gain errors and optics can be fit with 30 um BPM noise T. Satogata - APEX Linear Optics
APEX Data Acquisition and ORM Data Summary (pp35) • Data acquisition and analysis: • Takes 1-2 hours for all correctors in either RHIC ring • Both rings done in parallel for storage measurement • 3 average orbits acquired for each corrector setting • Need to automate analysis, tedious BPM/corrector alignment and orbit averaging • Measure/monitor tunes throughout measurement • No good blue injection ORM data acquired during Run-6 • Yellow injection data taken during blue polarimeter pumpdown T. Satogata - APEX Linear Optics
30-50% “signal”, chi^2=54 ORM reduces difference, chi^2 by >10 Beam Experiment Analysis: pp35 Yellow Store Q1/8/9 • Use only arc BPMs, fit Q1/Q8/Q9 quadrupoles • Appears to converge, chi^2 reduces by factor 10 • Beta beating is 10-15% horizontal, over 40% vertical! • Fitted quadrupole errors are still too large by at least x10 • Example: yi6-qf8 fit converges to a change of –5% ! Check data T. Satogata - APEX Linear Optics
ORM reduces difference, chi^2 by 20 Beam Experiment Analysis: pp35 Yellow Store Q1/4-9 • Use only arc BPMs, but now fit Q1/4-9 quadrupoles • Appears to converge better, chi^2 reduces by factor 20 • Beta beating is consistent with previous result, smoother • Fitted quadrupole errors are even larger, up to 8%! • Need to double-check data; these errors are unphysical T. Satogata - APEX Linear Optics
Yi6-qf1 Measured Yellow Store AC Dipole Beta Beat • Measured beta beat in the Yellow ring at store energy: fit is only yi6-qf1 has a 10% KL error! • The gradient error is obtained by . Here R can be calculated from the model • plan: • to finish the data analysis: Yellow injection and Blue at store and injection • dedicated gradient error measurement at injection Not consistent with ORM data! M. Bai T. Satogata - APEX Linear Optics
Future Plans • Careful analysis of existing data • Remove suspicious data, hand-match full ORM matrices • Aggressive singular value cuts; existing too permissive? • Blind baseline APEX • Insert and measure known quadrupole errors • Improve BPMs, reduce data acquisition noise • Change BPM average orbit sampling time • Increase number of orbits acquired per corrector setting • Reduce dimensionality • Typically 20-25% of correctors are used (FNAL, ALS) • Speeds up data acquisition, analysis, reduces memory requirements • Coupling analysis • Reduced dimensionality should allow this T. Satogata - APEX Linear Optics
APEX Requests and Requirements • 2-3h Blue testing at injection during startup period • Decouple; separate/measure tunes for lattice fit; save model • Measure dispersion before and after ORM measurement • BPMs averaging set to 7800 turns to limit 10 Hz (nth turn?) • Measure BPM average orbit noise at all BPMs • Compare difference orbit measurement/prediction, dispersion • Measure ORM/correct optics/recheck if differences above noise • AC dipole and ORM optics measurements • Fit all quads to improve model, IR knobs to improve machine • (Fast) blind baseline measurement for AC dipole analysis • Remeasure after analysis and correction for validation • 3h Storage optics measurement/correction • Repeat above setup, including BPM noise baseline • 6 bunches, uncogged, acquire both rings simultaneously • AC dipole measurement immediately after ORM measurement T. Satogata - APEX Linear Optics
AGS ORM Measurement Data • At extraction, near integer resonance, June 15 2006 • 2-3mm response, need to filter out some bad data V. Schoefer T. Satogata - APEX Linear Optics
AGS MAD-X and Matlab/AT Comparison T. Satogata - APEX Linear Optics
AGS Simulated Error ORM Fit • Simulated/matched 5% errors in a03, c17, e03, j17 quads • All four simulated errors fit to high precision • To Do: Noise analysis, filter input data for LOCO analysis T. Satogata - APEX Linear Optics
Conclusions • RHIC ORM Simulations • RHIC storage lattice looks nondegenerate (even triplets) • BPM/corrector gains, 0.1% gradient errors, and beta beating correction can be found with realistic BPM noise (30um) • RHIC ORM Data Analysis and APEX • Present analysis doubtful, converges to large (10%) errors • Hand-correlate data to triple-check for oversights • Reduce BPM average orbit noise (sampling, more data/point) • Parasitic setup/testing with Blue beam at injection • 3h for ramping/store gradient error measurement/correction • RHIC AC Dipole APEX • Parasitic (e.g. after) above ORM APEX, complementary • AGS ORM • Studying extraction lattice, matches MAD-X • Evaluating susceptibility to BPM noise • Have ORM data in hand for analysis T. Satogata - APEX Linear Optics
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Twiss Parameter Measurements • Hoffstaetter, Keil, and Xiao (EPAC 2002) • Iteratively fit cos/sin variations of (1) to measured Rij • Alternate between corrector and BPM (,) fitting • Least-squares is solved with SVD of: T. Satogata - APEX Linear Optics
Response Matrix Dimensions at RHIC • Each RHIC ring has • 334 BPM measurements (167 per plane) • 234 correctors (117 per plane) • Total response matrix size is 78156 points • APS/FNAL use only 25-40 correctors, all BPMs (Sajeev) • Fitting parameters • 334 BPM measurement gains (offsets subtract out) • 232 corrector strength gains (assume two are perfect) • 117 path length changes for horizontal correctors • 246 main/IR quadrupole gradients (or 72 IRs) • (144 chromatic sextupole offsets) • Total fitting parameters: 929 (more or less) • Total size of fit matrix: 78156*929 = 70 Mpoints • Grows larger very quickly with additional fit parameters • Minimize dimensionality to improve speed T. Satogata - APEX Linear Optics