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Integrator Configuration

The NumericalPropagationConfig controls the numerical integration method, step sizes, and error tolerances. Brahe provides preset configurations for common scenarios and allows custom configurations for specific requirements.

For API details, see the NumericalPropagationConfig API Reference. For detailed information about integrator theory and low-level usage, see the Numerical Integration guide.

Full Example

Here is a complete example creating a NumericalPropagationConfig exercising all available configuration options:

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import brahe as bh

# Create a fully-configured integrator configuration
config = bh.NumericalPropagationConfig(
    # Integration method: Dormand-Prince 5(4)
    bh.IntegrationMethod.DP54,
    # Integrator settings: tolerances and step control
    bh.IntegratorConfig(
        abs_tol=1e-9,
        rel_tol=1e-6,
        initial_step=60.0,  # 60 second initial step
        min_step=1e-6,  # Minimum step size
        max_step=300.0,  # Maximum step size (5 minutes)
        step_safety_factor=0.9,  # Safety margin for step control
        min_step_scale_factor=0.2,  # Minimum step reduction
        max_step_scale_factor=10.0,  # Maximum step growth
        max_step_attempts=10,  # Max attempts per step
    ),
    # Variational configuration: STM and sensitivity settings
    bh.VariationalConfig(
        enable_stm=True,
        enable_sensitivity=False,
        store_stm_history=True,
        store_sensitivity_history=False,
    ),
)

print(f"Method: {config.method}")
print(f"abs_tol: {config.abs_tol}")
print(f"rel_tol: {config.rel_tol}")
print(f"Variational: {config.variational}")

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use brahe as bh;

fn main() {
    // Create a fully-configured integrator configuration
    let config = bh::NumericalPropagationConfig {
        // Integration method: Dormand-Prince 5(4)
        method: bh::IntegratorMethod::DP54,
        // Integrator settings: tolerances and step control
        integrator: bh::IntegratorConfig {
            abs_tol: 1e-9,
            rel_tol: 1e-6,
            initial_step: Some(60.0), // 60 second initial step
            min_step: Some(1e-6),     // Minimum step size
            max_step: Some(300.0),    // Maximum step size (5 minutes)
            step_safety_factor: Some(0.9),      // Safety margin
            min_step_scale_factor: Some(0.2),   // Minimum step reduction
            max_step_scale_factor: Some(10.0),  // Maximum step growth
            max_step_attempts: 10,              // Max attempts per step
            fixed_step_size: None,              // Not using fixed step
        },
        // Variational configuration: STM and sensitivity settings
        variational: bh::VariationalConfig {
            enable_stm: true,
            enable_sensitivity: false,
            store_stm_history: true,
            store_sensitivity_history: false,
            jacobian_method: bh::DifferenceMethod::Central,
            sensitivity_method: bh::DifferenceMethod::Central,
        },
        // Acceleration storage for higher-order interpolation
        store_accelerations: true,
        // Interpolation method: Linear is safe for any state dimension
        // Use HermiteCubic or HermiteQuintic for 6D orbital states
        interpolation_method: bh::InterpolationMethod::Linear,
    };

    println!("Method: {:?}", config.method);
    println!("Integrator: {:?}", config.integrator);
    println!("Variational: {:?}", config.variational);
}
Output 
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Method: IntegrationMethod.DP54
abs_tol: 1e-09
rel_tol: 1e-06
Variational: VariationalConfig(enable_stm=true, enable_sensitivity=false, store_stm_history=true, store_sensitivity_history=false)

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Method: DP54
Integrator: IntegratorConfig { abs_tol: 1e-9, rel_tol: 1e-6, initial_step: Some(60.0), min_step: Some(1e-6), max_step: Some(300.0), step_safety_factor: Some(0.9), min_step_scale_factor: Some(0.2), max_step_scale_factor: Some(10.0), max_step_attempts: 10, fixed_step_size: None }
Variational: VariationalConfig { enable_stm: true, enable_sensitivity: false, store_stm_history: true, store_sensitivity_history: false, jacobian_method: Central, sensitivity_method: Central }

Architecture Overview

Configuration Hierarchy

NumericalPropagationConfig is the top-level container that aggregates all integrator settings. Each component has its own configuration struct:

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NumericalPropagationConfig
├── method: IntegratorMethod
│   ├── RK4 (fixed step)
│   ├── RKF45 (adaptive)
│   ├── DP54 (adaptive, default)
│   └── RKN1210 (adaptive, high precision)
├── integrator: IntegratorConfig
│   ├── abs_tol, rel_tol
│   ├── initial_step, min_step, max_step
│   ├── step_safety_factor
│   ├── min/max_step_scale_factor
│   └── fixed_step_size (for RK4)
└── variational: VariationalConfig
    ├── enable_stm, enable_sensitivity
    ├── store_stm_history, store_sensitivity_history
    └── jacobian_method, sensitivity_method

The configuration is captured at propagator construction time and remains immutable during propagation.

Integration Methods

Four integration methods are available:

Method Order Adaptive Function Evals Description
RK4 4 No 4 Classic fixed-step Runge-Kutta
RKF45 4(5) Yes 6 Runge-Kutta-Fehlberg adaptive
DP54 5(4) Yes 6-7 Dormand-Prince (MATLAB ode45)
RKN1210 12(10) Yes 17 High-precision Runge-Kutta-Nystrom

RK4 (Fixed Step)

Classic 4th-order Runge-Kutta with fixed step size. No error control - requires careful step size selection.

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import brahe as bh

# RK4: Fixed-step 4th-order Runge-Kutta
config = bh.NumericalPropagationConfig(
    bh.IntegrationMethod.RK4,
    bh.IntegratorConfig.fixed_step(60.0),  # 60 second fixed steps
    bh.VariationalConfig(),
)

print(f"Method: {config.method}")

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fn main() {
    // RK4: Fixed-step 4th-order Runge-Kutta
    let config = bh::NumericalPropagationConfig {
        method: bh::IntegratorMethod::RK4,
        integrator: bh::IntegratorConfig::fixed_step(60.0), // 60 second fixed steps
        variational: bh::VariationalConfig::default(),
        store_accelerations: true,
        interpolation_method: bh::InterpolationMethod::Linear,
    };

    println!("Method: {:?}", config.method);
    println!("Fixed step: {:?} seconds", config.integrator.fixed_step_size);
}
Output 
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Method: IntegrationMethod.RK4

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Method: RK4
Fixed step: Some(60.0) seconds

DP54 (Default)

Dormand-Prince 5(4) adaptive method. Uses FSAL (First-Same-As-Last) optimization for efficiency. MATLAB's ode45 uses this method.

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import brahe as bh

# DP54: Dormand-Prince 5(4) - the default integrator
config = bh.NumericalPropagationConfig.default()

# Customize tolerances using builder pattern
config_tight = (
    bh.NumericalPropagationConfig.default().with_abs_tol(1e-9).with_rel_tol(1e-6)
)

print(f"Method: {config.method}")
print(f"abs_tol: {config.abs_tol}")
print(f"rel_tol: {config.rel_tol}")

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fn main() {
    // DP54: Dormand-Prince 5(4) - the default integrator
    let config = bh::NumericalPropagationConfig::default();

    // Customize tolerances
    let config_tight = bh::NumericalPropagationConfig {
        integrator: bh::IntegratorConfig::adaptive(1e-9, 1e-6),
        ..bh::NumericalPropagationConfig::default()
    };

    println!("Method: {:?}", config.method);
    println!("abs_tol: {:e}", config.integrator.abs_tol);
    println!("rel_tol: {:e}", config.integrator.rel_tol);

    // Silence unused warning
    let _ = config_tight;
}
Output 
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Method: IntegrationMethod.DP54
abs_tol: 1e-06
rel_tol: 0.001

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Method: DP54
abs_tol: 1e-6
rel_tol: 1e-3

RKN1210 (High Precision)

12th-order Runge-Kutta-Nystrom optimized for second-order ODEs like orbital mechanics. Achieves extreme accuracy with tight tolerances.

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import brahe as bh

# RKN1210: High-order adaptive integrator for maximum precision
config = bh.NumericalPropagationConfig.high_precision()

# Or manually configure with custom tolerances
config_custom = (
    bh.NumericalPropagationConfig.with_method(bh.IntegrationMethod.RKN1210)
    .with_abs_tol(1e-12)
    .with_rel_tol(1e-10)
)

print(f"Method: {config.method}")
print(f"abs_tol: {config.abs_tol}")
print(f"rel_tol: {config.rel_tol}")

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fn main() {
    // RKN1210: High-order adaptive integrator for maximum precision
    let config = bh::NumericalPropagationConfig::high_precision();

    // Or manually configure with custom tolerances
    let config_custom = bh::NumericalPropagationConfig {
        method: bh::IntegratorMethod::RKN1210,
        integrator: bh::IntegratorConfig::adaptive(1e-12, 1e-10),
        variational: bh::VariationalConfig::default(),
        store_accelerations: true,
        interpolation_method: bh::InterpolationMethod::Linear,
    };

    println!("Method: {:?}", config.method);
    println!("abs_tol: {:e}", config.integrator.abs_tol);
    println!("rel_tol: {:e}", config.integrator.rel_tol);

    // Silence unused warning
    let _ = config_custom;
}
Output 
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Method: IntegrationMethod.RKN1210
abs_tol: 1e-10
rel_tol: 1e-08

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Method: RKN1210
abs_tol: 1e-10
rel_tol: 1e-8

Error Tolerances

Adaptive integrators adjust step size to keep error within:

\[ \text{error} < \text{abs\_tol} + \text{rel\_tol} \times |\text{state}| \]
  • abs_tol: Bounds error when state components are small (default: 1e-6)
  • rel_tol: Bounds error proportional to state magnitude (default: 1e-3)
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import brahe as bh

# Different tolerance levels for various use cases
config_quick = (
    bh.NumericalPropagationConfig.default().with_abs_tol(1e-3).with_rel_tol(1e-1)
)
config_standard = bh.NumericalPropagationConfig.default()  # abs=1e-6, rel=1e-3
config_precision = (
    bh.NumericalPropagationConfig.default().with_abs_tol(1e-9).with_rel_tol(1e-6)
)
config_maximum = bh.NumericalPropagationConfig.high_precision()  # abs=1e-10, rel=1e-8

print(f"Quick:     abs={config_quick.abs_tol}, rel={config_quick.rel_tol}")
print(f"Standard:  abs={config_standard.abs_tol}, rel={config_standard.rel_tol}")
print(f"Precision: abs={config_precision.abs_tol}, rel={config_precision.rel_tol}")
print(f"Maximum:   abs={config_maximum.abs_tol}, rel={config_maximum.rel_tol}")

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fn main() {
    // Different tolerance levels for various use cases
    let config_quick = bh::NumericalPropagationConfig {
        integrator: bh::IntegratorConfig::adaptive(1e-3, 1e-1),
        ..bh::NumericalPropagationConfig::default()
    };
    let config_standard = bh::NumericalPropagationConfig::default(); // abs=1e-6, rel=1e-3
    let config_precision = bh::NumericalPropagationConfig {
        integrator: bh::IntegratorConfig::adaptive(1e-9, 1e-6),
        ..bh::NumericalPropagationConfig::default()
    };
    let config_maximum = bh::NumericalPropagationConfig::high_precision(); // abs=1e-10, rel=1e-8

    println!("Quick:     abs={:e}, rel={:e}", config_quick.integrator.abs_tol, config_quick.integrator.rel_tol);
    println!("Standard:  abs={:e}, rel={:e}", config_standard.integrator.abs_tol, config_standard.integrator.rel_tol);
    println!("Precision: abs={:e}, rel={:e}", config_precision.integrator.abs_tol, config_precision.integrator.rel_tol);
    println!("Maximum:   abs={:e}, rel={:e}", config_maximum.integrator.abs_tol, config_maximum.integrator.rel_tol);
}
Output 
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Quick:     abs=0.001, rel=0.1
Standard:  abs=1e-06, rel=0.001
Precision: abs=1e-09, rel=1e-06
Maximum:   abs=1e-10, rel=1e-08

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Quick:     abs=1e-3, rel=1e-1
Standard:  abs=1e-6, rel=1e-3
Precision: abs=1e-9, rel=1e-6
Maximum:   abs=1e-10, rel=1e-8

Customizing Configuration

Python Builder Pattern

Python supports method chaining to customize from a preset:

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import brahe as bh

# Chain with_* methods to customize from a preset
config = (
    bh.NumericalPropagationConfig.default()
    .with_abs_tol(1e-9)
    .with_rel_tol(1e-6)
    .with_max_step(300.0)
    .with_initial_step(60.0)
)

print(f"Method: {config.method}")
print(f"abs_tol: {config.abs_tol}")
print(f"rel_tol: {config.rel_tol}")

Rust Struct Syntax

In Rust, use struct update syntax (..) to customize from defaults:

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fn main() {
    // Use struct update syntax (..) to customize from a preset
    let config = bh::NumericalPropagationConfig {
        integrator: bh::IntegratorConfig {
            abs_tol: 1e-9,
            rel_tol: 1e-6,
            initial_step: Some(60.0),
            max_step: Some(300.0),
            ..bh::IntegratorConfig::default()
        },
        ..bh::NumericalPropagationConfig::default()
    };

    println!("Method: {:?}", config.method);
    println!("abs_tol: {:e}", config.integrator.abs_tol);
    println!("rel_tol: {:e}", config.integrator.rel_tol);
    println!("max_step: {:?}", config.integrator.max_step);
}
Output 
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Method: IntegrationMethod.DP54
abs_tol: 1e-09
rel_tol: 1e-06

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Method: DP54
abs_tol: 1e-9
rel_tol: 1e-6
max_step: Some(300.0)

Preset Configurations

Brahe provides preset configurations for common use cases:

Preset Method abs_tol rel_tol Description
default() DP54 1e-6 1e-3 General purpose
high_precision() RKN1210 1e-10 1e-8 Maximum accuracy
with_method(M) M 1e-6 1e-3 Custom method with defaults 
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import brahe as bh

# Preset configurations for common use cases
default = bh.NumericalPropagationConfig.default()
high_precision = bh.NumericalPropagationConfig.high_precision()
rkf45 = bh.NumericalPropagationConfig.with_method(bh.IntegrationMethod.RKF45)
rk4 = bh.NumericalPropagationConfig.with_method(bh.IntegrationMethod.RK4)

print(f"default():        {default.method}")
print(f"high_precision(): {high_precision.method}")
print(f"with_method(RKF45): {rkf45.method}")
print(f"with_method(RK4):   {rk4.method}")

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fn main() {
    // Preset configurations for common use cases
    let default = bh::NumericalPropagationConfig::default();
    let high_precision = bh::NumericalPropagationConfig::high_precision();
    let rkf45 = bh::NumericalPropagationConfig::with_method(bh::IntegratorMethod::RKF45);
    let rk4 = bh::NumericalPropagationConfig::with_method(bh::IntegratorMethod::RK4);

    println!("default():          {:?}", default.method);
    println!("high_precision():   {:?}", high_precision.method);
    println!("with_method(RKF45): {:?}", rkf45.method);
    println!("with_method(RK4):   {:?}", rk4.method);
}
Output 
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default():        IntegrationMethod.DP54
high_precision(): IntegrationMethod.RKN1210
with_method(RKF45): IntegrationMethod.RKF45
with_method(RK4):   IntegrationMethod.RK4

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default():          DP54
high_precision():   RKN1210
with_method(RKF45): RKF45
with_method(RK4):   RK4

Variational Equations

The propagator can optionally integrate variational equations to compute the State Transition Matrix (STM) and sensitivity matrices. This is enabled via VariationalConfig:

  • enable_stm: Compute the State Transition Matrix
  • enable_sensitivity: Compute parameter sensitivity matrix
  • store_*_history: Store matrices at output times in trajectory
  • jacobian_method/sensitivity_method: Finite difference method (Forward, Backward, Central)

The STM maps initial state perturbations to final state perturbations: \(\delta\mathbf{x}(t) = \Phi(t, t_0) \cdot \delta\mathbf{x}(t_0)\)

See Covariance and Sensitivity for detailed usage.

See Also