pylupnt.NBodyDynamics

class pylupnt.NBodyDynamics
__init__(self: pylupnt._pylupnt.NBodyDynamics, integ_type: pylupnt._pylupnt.IntegratorType = <IntegratorType.RK4: 0>) → None
add_body(self: pylupnt._pylupnt.NBodyDynamics, body: lupnt::BodyT<double>) → None
get_bodies(self: pylupnt._pylupnt.NBodyDynamics) → list[lupnt::BodyT<double>]
get_time_step(self: pylupnt._pylupnt.NumericalOrbitDynamics) → float
propagate(*args, **kwargs)

Overloaded function.

  1. propagate(self: pylupnt._pylupnt.NBodyDynamics, x0: numpy.ndarray[numpy.float64[6, 1]], t0: float, tf: float, stm: bool = False) -> object

  2. propagate(self: pylupnt._pylupnt.NBodyDynamics, x0: numpy.ndarray[numpy.float64[1, 6]], t0: float, tf: float, stm: bool = False) -> object

  3. propagate(self: pylupnt._pylupnt.NBodyDynamics, x0: numpy.ndarray[numpy.float64[m, 6]], t0: float, tf: float) -> numpy.ndarray[numpy.float64[m, 6]]

  4. propagate(self: pylupnt._pylupnt.NBodyDynamics, x0: numpy.ndarray[numpy.float64[6, 1]], t0: float, tf: numpy.ndarray[numpy.float64[m, 1]], progress: bool = False) -> numpy.ndarray[numpy.float64[m, 6]]

  5. propagate(self: pylupnt._pylupnt.NBodyDynamics, x0: numpy.ndarray[numpy.float64[1, 6]], t0: float, tf: numpy.ndarray[numpy.float64[m, 1]], progress: bool = False) -> numpy.ndarray[numpy.float64[m, 6]]

propagate_state(self: pylupnt._pylupnt.NBodyDynamics, state: pylupnt._pylupnt.OrbitState, t0: float, tf: float, stm: bool = False) → object
set_frame(self: pylupnt._pylupnt.NBodyDynamics, frame: pylupnt._pylupnt.Frame) → None
set_ode_function(self: pylupnt._pylupnt.NumericalOrbitDynamics, arg0: Callable[[float, numpy.ndarray[numpy.float64[m, 1]]], numpy.ndarray[numpy.float64[m, 1]]]) → None
set_time_step(self: pylupnt._pylupnt.NumericalOrbitDynamics, arg0: float) → None