galport.Hamiltonian.dJdt

Hamiltonian.dJdt(J, theta, t=None)[source]

Find dJ/dt

Parameters:

  • J ((N,) numpy array) – The array of actions

  • theta ((N,) numpy array) – The array of angles

  • t (float, optional) – time, by default None

Returns:

dJ/dt – The array of actions’ time derivative

Return type:

(N,) numpy array