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  • In field B apply RF field to material at Larmor frequency ω_0
  • Coil of L_0 perpendicular to B_0 to induce spin flip
  • LCR circuit (so that ω_0=1/√LC ) to observe change in impedance with frequency
  • As frequency changes: circuit response to Q-curve and polarization signal
  • Sweep frequency around ω_0 to integrate in ω


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Microwave setup


Dynamic Nuclear Polarization System

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Covariance Matrix

    

Parameters (Characteristics of Q-Meter) to be included in the Q-Curve Covariance Matrix:

V - Input voltage

C_knob - tuning capacitance

trim- cable length defined by nλ/2 (n/2 is the trim, and λ is the Larmor frequency of the material)

η - Filling factor of the coil

∅ - phase offset

C_stray, Stray capacitance – parasitic capacitance of the system

Phase cable length, QMeter temp, noises, and other factors

Hessian Fit with Covariant Matrix results performed using the Iminuit python library.


Target Polarization Systematics

  • Signal covariance matrix (Per each channel): Depends on proton/deuteron signal line-shape
  • Magnetic field inhomogeneity
  • Microwave distribution inhomogeneity
  • Polarization decay in x, y, z directions over time (with modifications to the calibration insert)
  • Uncertainty from the Calibration Constant

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Temperature: Based on the cernox sensors and (or) Helium vapor pressure
Area under the signal: associated systematic uncertainty 

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Online Polarization Crosscheck:

Calibration constant was re-calculated by taking the average area and average He4 Temperature directly from the available NMR data - Online CC and the recalculated CC were almost the same as below:

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NMR Polarization Display Panel

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How Polarization was achieved during SpinQuest Commissioning runs:

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Offline Polarization Measurements: Area under the NMR Signal

  1. Plot the Baseline:

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2. Plot the RawSignal

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3. Get the difference of Baseline and the RawSignal and plot the difference

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4. Select a suitable data range on left and right wings of the plot and make a polynomial fit (or apply a Voigt fit) for the selected data

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5. Plot the residuals (Difference between Polynomial fit and the Baseline-RawSignal plot). Apply a cut for both sides of the wings and calculate the area under the curve

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