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iAvicenna@lemmy.world ⁨4⁩ ⁨weeks⁩ ago

Achieving a velocity of 0.5 times the speed of light (ccc) for space travel involves solving advanced challenges in physics and engineering. The Python script below creates a simplified optimization framework to analyze the propulsion needed. It uses physics principles like relativistic mass-energy equivalence and propulsion mechanisms such as fusion or antimatter engines.

This code assumes you have the theoretical fuel and energy to achieve the speed, but it abstracts away complex challenges like time dilation, cosmic radiation, and material limitations.

Python Code ’’’ import numpy as np import matplotlib.pyplot as plt

Constants

c = 3e8 # Speed of light (m/s) target_speed = 0.5 * c # Target speed (0.5c) ship_mass = 1e5 # Mass of the spacecraft without fuel (kg) fuel_efficiency = 1e-3 # Fuel conversion efficiency (e.g., antimatter ~0.1, fusion ~0.001) exhaust_velocity = 1e7 # Exhaust velocity of the propulsion system (m/s) specific_impulse = exhaust_velocity / 9.81 # Specific impulse (seconds)

Functions

def relativistic_mass(speed, rest_mass): “”“Calculate relativistic mass.”“” gamma = 1 / np.sqrt(1 - (speed / c) ** 2) return gamma * rest_mass

def fuel_needed(final_speed, ship_mass, exhaust_velocity): “”“Estimate fuel required using the Tsiolkovsky rocket equation.”“” delta_v = final_speed mass_ratio = np.exp(delta_v / exhaust_velocity) fuel_mass = ship_mass * (mass_ratio - 1) return fuel_mass

Optimization

def optimize_propulsion(target_speed, ship_mass, exhaust_velocity, fuel_efficiency): fuel_mass = fuel_needed(target_speed, ship_mass, exhaust_velocity) energy_required = fuel_mass * fuel_efficiency * c**2 # Total energy for propulsion return fuel_mass, energy_required

Perform calculations

fuel_mass, energy_required = optimize_propulsion(target_speed, ship_mass, exhaust_velocity, fuel_efficiency)

Display results

print(f"Target speed: {target_speed / c:.2f}c") print(f"Required fuel mass: {fuel_mass:.2e} kg") print(f"Energy required: {energy_required:.2e} joules")

Visualization

speeds = np.linspace(0, 0.5 * c, 100) fuel_masses = [fuel_needed(speed, ship_mass, exhaust_velocity) for speed in speeds]

plt.figure(figsize=(10, 6)) plt.plot(speeds / c, fuel_masses, label=‘Fuel Mass Required’) plt.xlabel(‘Speed as a Fraction of Light Speed (v/c)’) plt.ylabel(‘Fuel Mass (kg)’) plt.title(‘Fuel Requirement vs. Speed’) plt.legend() plt.grid() plt.show() ’’’

How it Works:

Relativistic Mass: Accounts for relativistic effects as the spacecraft approaches significant fractions of the speed of light.
Tsiolkovsky Rocket Equation: Estimates fuel requirements based on the propulsion system's exhaust velocity and initial mass.
Energy Requirement: Evaluates energy needs assuming the specified fuel efficiency.

Limitations:

Idealized Assumptions: Assumes perfect efficiency and ignores engineering constraints.
Simplified Physics: Doesn't account for external factors like gravity, drag, or realistic propulsion systems.
Energy Storage: No consideration for how energy would be stored or delivered.

Would you like more refinement or details on specific subsystems?

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