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Field model deliverables for sector test and commissioning: when and what?. The implementation of an accurate magnetic model will be vital for efficient LHC commissioning with beam and subsequent machine performance. The proposed implementation of a magnetic model is described.
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Field model deliverables for sector test and commissioning: when and what? • The implementation of an accurate magnetic model will be vital for efficient LHC commissioning with beam and subsequent machine performance. • The proposed implementation of a magnetic model is described. • Present state of the implementation • Proposed planning for the deliverables for sector test and initial commissioning. Field Model
MAIN DIPOLES • Transfer Function • Average over 154 dipoles per arc • DC components • Geometric • DC magnetization • Saturation • Residual • AC components • Decay • Snapback • Coupling Currents Steady state, reproducible from cycle to cycle, depending only on current Depend on current, ramp rate and powering history Field Model
MAIN DIPOLESCold Measurement Join databases: measurements, installation and LSA Measurements for all magnets to be installed in 7-8 Field Model
FiDeL Using data from series cold measurements FiDel models components of total field in aperture of magnet Mathematical formulation describing field and field errors Set of parameterized equations - fit to the measured behaviour of the set of magnets in a circuit Field Model
FiDeL- Field Field Model
Geometric MDC Saturation Data from cold test of magnets to be installed in sector 7-8 (65 magnets 130 apertures) Residual Field Model
Generate Transfer Functions - Implementation // DC Magnetisation double getBMDC(double x, double gamma, double mu, double p, double q, double m) { double mdc = mu * Iinj * Math.pow((x / Iinj), p) * Math.pow(((Ic - x) / (Ic - Iinj)), q) * Math.pow(((Math.pow(Tco,1.7) - Math.pow(T,1.7) ) / ( Math.pow(Tco,1.7) - Math.pow(Tmeas,1.7) )), m); return (mdc); } Field Model
Nominal ramp configuration Field Model
FiDeL: Harmonics Field Model
Geometric MDC Saturation Residual Field Model
Generate static harmonics Generate static harmonics Field Model
Delphine Jacquet Nicholas Hoibian Field Model
MAIN QUADRUPOLES FiDeL similarly leading to: kqd := -0.008442106796 kqf := 0.008802591259 p(t) Etc, etc… Field Model
Bottura & Sammut – Cham XIV Field Model
Decay std – normalization parameters E, T0, T1, T,P0,P1, P – fitting parameters Field Model
Snapback – Q’ • Fit snapback: • I(t) – MB current at time t • Iinjection – injection value of current • b3 and Iare fitting constants • b3 and Iare correlated Sextupole compensation during snap-back in collaboration with FNAL – Luca Bottura Field Model
Implementation Field Model
Implementation Suggestion • Field Model interpolates and extrapolates data from measured data • Fitting parameters stored on LSA database, entry and adjustment by magnet team • Powering history naturally on LSA database • Mathematical formulation of FiDeL in Java • On-line invocation to produce: • Transfer functions • Normalised harmonic coefficients • On-line invocation at start of each fill (if necessary): • Decay • Snapback • Details to be discussed. Field Model
Deliverables • Sector Test: • Transfer functions [MB, MQ, MQY, MQM, MQX etc…] • DC components • Decay prediction • Cycling prescription – deGauss & Nominal • Commissioning: • As above plus snapback • b3++ lower priority as per Massimo’s talk yesterday See Luca Bottura’s presentation - Thursday Field Model
Conclusions • Based on magnet measurements FiDeL provides a robust parameterized formulation of: • DC and AC components • Transfer Functions • DC harmonics • Decay • Snapback • Amenable in implementation within LSA • Java/Oracle • v0.01 prototype in place. • Details to be finalized with aim of having v1 of final implementation in place for sector test. Field Model