paraqeet.propagation.scipy_expm_goat.ScipyExpmGOAT

class paraqeet.propagation.scipy_expm_goat.ScipyExpmGOAT(model, resolution)

Bases: ScipyExpm, DifferentiablePropagation

Solve EOMs by piecewise exponentiation via Scipy using GOAT.

Parameters:

• model (EquationOfMotion)

• resolution (float)

__init__(model, resolution)

Parameters:

• model (EquationOfMotion)

• resolution (float)

Methods

__init__(model, resolution)
get_parameters()	Per default, propagation methods have no parameters to optimize.
get_value_and_gradient(times)	Solve the GOAT equation for the gradient vector.
propagate(time)	Return the solution of the equations of motion.
set_initial_state(state)	Set initial state.

Attributes

is_open	Return if the propagation is for open or closed system.
resolution	Return the propagation resolution.

get_parameters()

Per default, propagation methods have no parameters to optimize.

get_value_and_gradient(times)

Solve the GOAT equation for the gradient vector.

Parameters:

• time (Array) – Array of timesteps.

• times (Array)

Returns:

First dimension is time, second dimension is the parameter.

Return type:

tuple[Array, Array]

property is_open: bool

Return if the propagation is for open or closed system.

propagate(time)

Return the solution of the equations of motion.

Loop over all desired times in time at set resolution.

Parameters:

time (Array) – Any one-dimensional vector of timestamps.

Returns:

Returns the solution of the equations of motion.

Return type:

Array

Raises:

ConfigurationException – If the initial state is not set.

property resolution: float

Return the propagation resolution.

set_initial_state(state)

Set initial state.