2023-08-22 14:06:38 +00:00
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import unittest
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2023-08-23 12:51:57 +00:00
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import numpy as np
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import matplotlib.pyplot as plt
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2023-08-22 14:06:38 +00:00
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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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2023-08-23 12:51:57 +00:00
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from nqr_blochsimulator.classes.pulse import PulseArray
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2023-08-22 14:06:38 +00:00
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class TestSimulation(unittest.TestCase):
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def setUp(self):
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2023-08-22 14:06:38 +00:00
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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=1,
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filling_factor=0.7,
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T1=82.6e-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,
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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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power_amplifier_power=500,
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pulse = self.pulse
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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, abs(M))
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plt.show()
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