add baseline models with fixed viral load
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1 changed files with 31 additions and 0 deletions
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@ -691,6 +691,37 @@ def display_original_vs_english(original_pi: np.ndarray, english_pi: np.ndarray)
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plt.show()
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fixed_vl_exposure_models = [MCExposureModel(
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concentration_model=MCConcentrationModel(
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room=models.Room(volume=45),
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ventilation=models.SlidingWindow(
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active=models.PeriodicInterval(period=120, duration=10),
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inside_temp=models.PiecewiseConstant((0, 24), (293,)),
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outside_temp=models.PiecewiseConstant((0, 24), (283,)),
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window_height=1.6, opening_length=0.6,
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),
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infected=MCInfectedPopulation(
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number=1,
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presence=models.SpecificInterval(((0, 4), (5, 9))),
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masked=True,
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virus=MCVirus(halflife=1.1),
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expiratory_activity=1,
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samples=2000000,
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qid=100,
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breathing_category=1,
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english_variant=False,
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viral_load=float(vl)
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)
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),
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exposed=models.Population(
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number=2,
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presence=models.SpecificInterval(((0, 4), (5, 9))),
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activity=models.Activity.types['Seated'],
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mask=models.Mask.types['Type I']
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)
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) for vl in range(6, 11)]
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exposure_models = [MCExposureModel(
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concentration_model=MCConcentrationModel(
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room=models.Room(volume=45),
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