Create propulsion_model.py

models/ai_models/propulsion_model.py

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+import numpy as np
+from scipy.integrate import odeint
+from scipy.optimize import minimize
+
+class PropulsionModel:
+    def __init__(self, energy_source, mass_ratio, warp_core_efficiency):
+        self.energy_source = energy_source
+        self.mass_ratio = mass_ratio
+        self.warp_core_efficiency = warp_core_efficiency
+
+    def calculate_warp_factor(self, velocity):
+        """
+        Calculate the warp factor using the Alcubierre Warp Drive metric.
+
+        Args:
+            velocity (float): The velocity of the spacecraft.
+
+        Returns:
+            float: The warp factor.
+        """
+        warp_factor = 1 / np.sqrt(1 - (velocity ** 2) / (self.mass_ratio ** 2))
+        return warp_factor
+
+    def optimize_warp_core(self, initial_conditions, time_span):
+        """
+        Optimize the warp core using a genetic algorithm.
+
+        Args:
+            initial_conditions (list): The initial conditions for the warp core.
+            time_span (list): The time span for the optimization.
+
+        Returns:
+            list: The optimized warp core parameters.
+        """
+        def objective_function(params):
+            # Simulate the warp core using the Alcubierre Warp Drive metric
+            warp_core_simulation = self.simulate_warp_core(params, time_span)
+            # Calculate the objective function (e.g. minimize energy consumption)
+            objective = np.sum(warp_core_simulation ** 2)
+            return objective
+
+        result = minimize(objective_function, initial_conditions, method="SLSQP")
+        optimized_params = result.x
+        return optimized_params
+
+    def simulate_warp_core(self, params, time_span):
+        """
+        Simulate the warp core using the Alcubierre Warp Drive metric.
+
+        Args:
+            params (list): The warp core parameters.
+            time_span (list): The time span for the simulation.
+
+        Returns:
+            numpy array: The simulated warp core data.
+        """
+        # Define the Alcubierre Warp Drive metric
+        def alcubierre_metric(t, y):
+            dydt = np.zeros_like(y)
+            dydt[0] = y[1]
+            dydt[1] = -self.mass_ratio ** 2 * y[0] * (1 - y[0] ** 2)
+            return dydt
+
+        # Simulate the warp core
+        solution = odeint(alcubierre_metric, params, time_span)
+        return solution
+
+    def calculate_exotic_matter(self, warp_factor):
+        """
+        Calculate the exotic matter required for the warp drive.
+
+        Args:
+            warp_factor (float): The warp factor.
+
+        Returns:
+            float: The exotic matter required.
+        """
+        exotic_matter = self.mass_ratio ** 2 * warp_factor ** 2
+        return exotic_matter