StochasticModelParameters#

class ansys.stk.core.stkobjects.astrogator.StochasticModelParameters#: Properties for Stochastic Model Parameters.

Overview#

Properties

`diffusion_coefficient`	Determine the amount of process noise to be added to state covariance used in the Random Walk model.
`error_threshold`	Covariance floor for long term mean used in the Vasicek model.
`half_life`	Half life value for Gauss Markov stochastic process.
`model_type`	Type of stochastic model used for SRP correction.
`process_noise_step`	Process noise step when minimum floor is hit used in the Vasicek model.
`sigma`	Root variance of the initial error in the nominal value.
`sigma_long_term`	Root variance of the initial error in the long term constant value used in the Vasicek model.

from ansys.stk.core.stkobjects.astrogator import StochasticModelParameters

property StochasticModelParameters.diffusion_coefficient: float#: Determine the amount of process noise to be added to state covariance used in the Random Walk model.

property StochasticModelParameters.error_threshold: float#: Covariance floor for long term mean used in the Vasicek model.

property StochasticModelParameters.half_life: float#: Half life value for Gauss Markov stochastic process.

property StochasticModelParameters.model_type: StochasticModel#: Type of stochastic model used for SRP correction.

property StochasticModelParameters.process_noise_step: float#: Process noise step when minimum floor is hit used in the Vasicek model.

property StochasticModelParameters.sigma: float#: Root variance of the initial error in the nominal value.

property StochasticModelParameters.sigma_long_term: float#: Root variance of the initial error in the long term constant value used in the Vasicek model.