polarcbo.noise.noise_model
- class polarcbo.noise.noise_model[source]
Bases:
ABC
Abstract noise model class
- abstract __call__(m_diff)[source]
Call method for classes that inherit from
noise_model
- Parameters:
m_diff (array_like, shape (J, d)) – For a system of \(J\) particles, the i-th row of this array
m_diff[i,:]
represents the vector \(x_i - \mathsf{m}(x_i)\) where \(x\in\R^d\) denotes the position of the i-th particle and \(\mathsf{m}(x_i)\) its weighted mean.- Returns:
n – The random vector that is computed by the repspective noise model.
- Return type:
array_like, shape (J,d)