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59 lines
2.1 KiB
Python
59 lines
2.1 KiB
Python
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"""Composite FID example.
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This example demonstrates how to simulate a composite FID signal using the quackseq simulator.
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See the paper:
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Sauer, K.L., Klug, C.A., Miller, J.B. et al. Using quaternions to design composite pulses for spin-1 NQR. Appl. Magn. Reson. 25, 485–500 (2004). https://doi.org/10.1007/BF03166543
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This also works for Samples with spin > 1.
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"""
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import logging
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from quackseq_simulator.simulator import Simulator
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from quackseq.pulsesequence import QuackSequence
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from quackseq.functions import RectFunction
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from matplotlib import pyplot as plt
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if __name__ == "__main__":
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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seq = QuackSequence("COMPFID")
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seq.add_pulse_event("tx1", "3u", 100, 0, RectFunction())
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seq.add_pulse_event("tx2", "6u", 100, 45, RectFunction())
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# This makes the phase 45, 135, 225, 315
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seq.set_tx_n_phase_cycles("tx2", 4)
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seq.add_blank_event("blank", "5u")
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seq.add_readout_event("rx", "100u")
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# No phase shifiting of the receive data but weighting of -1 for the 45 degree pulse, +1 for the 135 degree pulse, -1 for the 225 degree pulse and +1 for the 315 degree pulse
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readout_scheme = [[1, 0], [-1, 0], [1, 0], [-1, 0]]
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sim = Simulator()
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sim.set_averages(100)
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sim.settings.noise = 1 # microvolts
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result = sim.run_sequence(seq)
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# Plot time and frequency domain next to each other
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plt.subplot(1, 2, 1)
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plt.title("Time domain Simulation of BiPh3 COMPFID")
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plt.xlabel("Time (µs)")
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plt.ylabel("Signal (a.u.)")
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plt.plot(result.tdx[-1], result.tdy[-1].imag, label="imaginary")
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plt.plot(result.tdx[-1], result.tdy[-1].real, label="real")
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plt.plot(result.tdx[-1], abs(result.tdy[-1]), label="abs")
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plt.subplot(1, 2, 2)
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plt.title("Frequency domain Simulation of BiPh3 COMPFID")
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plt.xlabel("Frequency (kHz)")
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plt.ylabel("Signal (a.u.)")
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plt.plot(result.fdx[-1], result.fdy[-1].imag, label="imaginary")
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plt.plot(result.fdx[-1], result.fdy[-1].real, label="real")
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plt.plot(result.fdx[-1], abs(result.fdy[-1]), label="abs")
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plt.legend()
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plt.show()
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