To develop a computational model of the satellite's velocity based on the distance from the Earth and the time elapsed, I would create a function that takes two lists as inputs—one for distances (X) and one for time (Y). The function would then compute the velocity (V) using the formula \( V = 2 \pi X Y \), iterating through each pair of values in the lists. Finally, I would test the implementation using the Trinket tool to ensure the calculations are correct and the output is as expected.
Now, let’s calculate the velocity for the given data points:
import math
# Given data
distances = [100, 20, 15, 29, 67, 5] # X
time_elapsed = [31, 44, 27, 22, 36, 52] # Y
# Function to compute velocity
def compute_velocity(distances, time_elapsed):
velocities = []
for x, y in zip(distances, time_elapsed):
v = 2 * math.pi * x * y
velocities.append(v)
return velocities
# Calculate velocities
velocities = compute_velocity(distances, time_elapsed)
print(velocities)
This code snippet defines the function and calculates the velocities based on the provided distances and time values. You can run this code in the Trinket tool for validation.