zero is zero
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@ -40,10 +40,10 @@ def calc_apply_threshold(results, data):
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#TODO: this is duplicated in calc_apply_threshold and calc_radial_integration
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#TODO: this is duplicated in calc_apply_threshold and calc_radial_integration
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threshold_min = float(results["threshold_min"])
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threshold_min = float(results["threshold_min"])
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threshold_max = float(results["threshold_max"])
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threshold_max = float(results["threshold_max"])
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data[data < threshold_min] = 0.0
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data[data < threshold_min] = 0
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#TODO: skipping max is a guess, but not obvious/symmetric -- better to ensure the order min < max by switching them if needed
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#TODO: skipping max is a guess, but not obvious/symmetric -- better to ensure the order min < max by switching them if needed
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if threshold_max > threshold_min:
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if threshold_max > threshold_min:
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data[data > threshold_max] = 0.0
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data[data > threshold_max] = 0
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def calc_apply_aggregation(results, data, data_summed, n_aggregated_images):
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def calc_apply_aggregation(results, data, data_summed, n_aggregated_images):
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