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06a2b217d4
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2a687571c6 |
11
fitter.py
11
fitter.py
@ -100,6 +100,7 @@ class Fitter:
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def optimize(self, init_parameters=None):
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t0 = time.time()
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self.iteration = 0
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if init_parameters is None:
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m = self.model()
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K_pc_half = m.K_pc_half
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@ -118,7 +119,15 @@ class Fitter:
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(10, 100, 100, 100, 10, 10),
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)
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res = least_squares(self.cost_func, init_parameters, bounds=bounds, xtol=1e-10)
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res = least_squares(
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self.cost_func,
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init_parameters,
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bounds=bounds,
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xtol=1e-10,
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ftol=1e-12,
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verbose=2,
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)
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print()
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print(" Parameters: [gGaL, ECal, K_pc_half, tau_xfer, tau_RC, offset]")
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print(" Initial:", init_parameters.tolist())
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