increase weights for baseline parameters
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@ -100,7 +100,7 @@ class Fitter:
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# error_list = [error_bf, error_vs, error_sc, error_cv,
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# error_f_inf, error_f_inf_slope, error_f_zero, error_f_zero_slope]
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error_weights = (0, 1, 1, 1, 1, 1, 1, 1, 0)
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error_weights = (0, 2, 2, 2, 1, 1, 1, 1, 0)
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fmin = minimize(fun=self.cost_function_all,
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args=(error_weights,), x0=x0, method="Nelder-Mead",
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options={"initial_simplex": initial_simplex, "xatol": 0.001, "maxfev": 200, "maxiter": 400})
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