fit

Provides common fit models and default parameter sets for lmfit with functions defined in the func module.

exp_decay = lmfit.Model(func.exp_decay) module-attribute

lmfit Model for exponential decay function

exp_decay_params = exp_decay.make_params(tau={'value': 15, 'min': 0, 'max': 500}, a={'value': 0.25, 'min': 0, 'max': 5}, b={'value': 0, 'min': -5, 'max': 5}) module-attribute

lmfit Parameters for exponential decay function

gauss = lmfit.Model(func.gauss) module-attribute

lmfit Model for gaussian distribution

gauss_normalized = lmfit.Model(func.gauss_normalized) module-attribute

lmfit Model for normalized gaussian distribution

gauss_normalized_params = gauss_normalized.make_params(mu={'value': 0}, sigma={'value': 1}) module-attribute

lmfit Parameters for normalized gaussian distribution

gauss_params = gauss.make_params(mu={'value': 0}, sigma={'value': 1}, a0={'value': 1}, b={'value': 0}) module-attribute

lmfit Parameters for gaussian distribution

lin = lmfit.Model(func.lin) module-attribute

lmfit Model for linear function

lin_params = lin.make_params(m={'value': 1, 'min': -10, 'max': 10}, b={'value': 0, 'min': -10, 'max': 10}) module-attribute

lmfit Parameters for linear function