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https://github.com/nqrduck/nqr-blochsimulator.git
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71 lines
2.2 KiB
Python
71 lines
2.2 KiB
Python
import unittest
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import numpy as np
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import matplotlib.pyplot as plt
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from nqr_blochsimulator.classes.sample import Sample
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from nqr_blochsimulator.classes.simulation import Simulation
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from nqr_blochsimulator.classes.pulse import PulseArray
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class TestSimulation(unittest.TestCase):
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def setUp(self):
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self.sample = Sample(
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"BiPh3",
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density=1.585e6, # g/m^3
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molar_mass=440.3, # g/mol
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resonant_frequency=83.56e6, # Hz
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gamma=4.342e7, # Hz/T
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nuclear_spin=9 / 2,
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spin_factor=2,
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powder_factor=0.75,
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filling_factor=0.7,
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T1=83.5e-5, # s
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T2=396e-6, # s
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T2_star=50e-6, # s
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)
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simulation_length = 300e-6
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dwell_time = 1e-6
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self.time_array = np.arange(0, simulation_length, dwell_time)
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pulse_length = 3e-6
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# Simple FID sequence with pulse length of 3µs
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pulse_amplitude_array = np.zeros(int(simulation_length / dwell_time))
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pulse_amplitude_array[: int(pulse_length / dwell_time)] = 1
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pulse_phase_array = np.zeros(int(simulation_length / dwell_time))
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self.pulse = PulseArray(
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pulseamplitude=pulse_amplitude_array,
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pulsephase=pulse_phase_array,
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dwell_time=dwell_time,
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)
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self.simulation = Simulation(
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sample=self.sample,
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number_isochromats=1000,
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initial_magnetization=1,
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gradient=1,
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noise=0.5,
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length_coil=6e-3,
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diameter_coil=3e-3,
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number_turns=9,
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q_factor_transmitt=100,
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q_factor_receive=100,
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power_amplifier_power=110,
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pulse=self.pulse,
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averages=1000,
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gain=5600,
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temperature=300,
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loss_TX=12,
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loss_RX=12,
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conversion_factor=2884 # This is for the LimeSDR based spectrometer
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)
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def test_simulation(self):
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M = self.simulation.simulate()
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# Plotting the results
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plt.plot(self.time_array * 1e6, abs(M))
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plt.xlabel("Time (µs)")
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plt.ylabel("Magnetization (a.u.)")
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plt.title("FID of BiPh3")
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plt.show()
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