nyx_space::od::noise

Struct StochasticNoise

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pub struct StochasticNoise {
    pub white_noise: Option<WhiteNoise>,
    pub bias: Option<GaussMarkov>,
}
Expand description

Stochastic noise modeling used primarily for synthetic orbit determination measurements.

This implementation distinguishes between the white noise model and the bias model. It also includes a constant offset.

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§white_noise: Option<WhiteNoise>§bias: Option<GaussMarkov>

Implementations§

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impl StochasticNoise

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pub const ZERO: Self = _

Zero noise stochastic process.

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pub const MIN: Self = _

The minimum stochastic noise process with a zero mean white noise of 1e-6.

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pub fn default_range_km() -> Self

Default stochastic process of the Deep Space Network, as per DESCANSO Chapter 3, Table 3-3. Using the instrument bias as the white noise value, zero constant bias.

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pub fn default_doppler_km_s() -> Self

Default stochastic process of the Deep Space Network, using as per DESCANSO Chapter 3, Table 3-3 for the GM process.

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pub fn sample<R: Rng>(&mut self, epoch: Epoch, rng: &mut R) -> f64

Sample these stochastics

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pub fn covariance(&self, epoch: Epoch) -> f64

Return the covariance of these stochastics at a given time.

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pub fn simulate<P: AsRef<Path>>( self, path: P, runs: Option<u32>, unit: Option<String>, ) -> Result<Vec<StochasticState>, Box<dyn Error>>

Simulate the configured stochastic model and store the bias in a parquet file. Python: call as simulate(path, runs=25, unit=None) where the path is the output Parquet file, runs is the number of runs, and unit is the unit of the bias, reflected only in the headers of the parquet file.

The unit is only used in the headers of the parquet file.

This will simulate the model with “runs” different seeds, sampling the process 500 times for a duration of 5 times the time constant.

Trait Implementations§

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impl Clone for StochasticNoise

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fn clone(&self) -> StochasticNoise

Returns a copy of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for StochasticNoise

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for StochasticNoise

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fn default() -> StochasticNoise

Returns the “default value” for a type. Read more
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impl<'de> Deserialize<'de> for StochasticNoise

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fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>
where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer. Read more
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impl PartialEq for StochasticNoise

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fn eq(&self, other: &StochasticNoise) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl Serialize for StochasticNoise

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fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>
where __S: Serializer,

Serialize this value into the given Serde serializer. Read more
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impl Copy for StochasticNoise

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impl StructuralPartialEq for StochasticNoise

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