monte_carlo_uncertainty_analysis

Analyze spacecraft trajectory uncertainty using Monte Carlo simulations to quantify risks and variations in aerospace mission planning.

Instructions

Perform Monte Carlo uncertainty analysis on spacecraft trajectory.

Args: nominal_trajectory: Nominal trajectory parameters uncertainty_parameters: Parameters with uncertainty distributions n_samples: Number of Monte Carlo samples analysis_options: Optional analysis settings

Returns: JSON string with uncertainty analysis results

Input Schema

TableJSON Schema

Name	Required	Description	Default
`nominal_trajectory`	Yes
`uncertainty_parameters`	Yes
`n_samples`	No
`analysis_options`	No

Implementation Reference

aerospace_mcp/tools/optimization.py:200-236 (handler)

The primary handler function for the 'monte_carlo_uncertainty_analysis' tool. It wraps an optional implementation from trajopt.py, serializes results to JSON, and provides graceful error handling including 'not available' message when dependencies are missing.

def monte_carlo_uncertainty_analysis(
    nominal_trajectory: dict,
    uncertainty_parameters: dict,
    n_samples: int = 1000,
    analysis_options: dict | None = None,
) -> str:
    """Perform Monte Carlo uncertainty analysis on spacecraft trajectory.

    Args:
        nominal_trajectory: Nominal trajectory parameters
        uncertainty_parameters: Parameters with uncertainty distributions
        n_samples: Number of Monte Carlo samples
        analysis_options: Optional analysis settings

    Returns:
        JSON string with uncertainty analysis results
    """
    try:
        from ..integrations.trajopt import (
            monte_carlo_uncertainty_analysis as _monte_carlo,
        )

        result = _monte_carlo(
            nominal_trajectory,
            uncertainty_parameters,
            n_samples,
            analysis_options or {},
        )

        return json.dumps(result, indent=2)

    except ImportError:
        return "Monte Carlo analysis not available - install optimization packages"
    except Exception as e:
        logger.error(f"Monte Carlo analysis error: {str(e)}", exc_info=True)
        return f"Monte Carlo analysis error: {str(e)}"

aerospace_mcp/fastmcp_server.py:129-129 (registration)
Registers the monte_carlo_uncertainty_analysis tool with the FastMCP server.
```
mcp.tool(monte_carlo_uncertainty_analysis)
```

aerospace_mcp/fastmcp_server.py:48-55 (registration)

Imports the monte_carlo_uncertainty_analysis function from tools.optimization for registration.

from .tools.optimization import (
    genetic_algorithm_optimization,
    monte_carlo_uncertainty_analysis,
    optimize_thrust_profile,
    particle_swarm_optimization,
    porkchop_plot_analysis,
    trajectory_sensitivity_analysis,
)

Aerospace MCP