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250 changes: 250 additions & 0 deletions other/n_body_simulation.py
Original file line number Diff line number Diff line change
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"""
In physics and astronomy, a gravitational N-body simulation is a simulation of a
dynamical system of particles under the influence of gravity. The system
consists of a number of bodies, each of which exerts a gravitational force on all
other bodies. These forces are calculated using Newton's law of universal
gravitation. The Euler method is used at each time-step to calculate the change in
velocity and position brought about by these forces. Softening is used to prevent
numerical divergences when a particle comes too close to another (and the force
goes to infinity).
(Description adapted from https://en.wikipedia.org/wiki/N-body_simulation )
(See also http://www.shodor.org/refdesk/Resources/Algorithms/EulersMethod/ )
"""


from __future__ import annotations

import random

from matplotlib import animation # type: ignore
from matplotlib import pyplot as plt


class Body:
def __init__(
self: Body,
position_x: float,
position_y: float,
velocity_x: float,
velocity_y: float,
mass: float = 1.0,
size: float = 1.0,
color: str = "blue",
) -> None:
"""
The parameters "size" & "color" are not relevant for the simulation itself,
they are only used for plotting.
"""
self.position_x = position_x
self.position_y = position_y
self.velocity_x = velocity_x
self.velocity_y = velocity_y
self.mass = mass
self.size = size
self.color = color

def update_velocity(
self: Body, force_x: float, force_y: float, delta_time: float
) -> None:
"""
Euler algorithm for velocity

>>> body = Body(0.,0.,0.,0.)
>>> body.update_velocity(1.,0.,1.)
>>> body.velocity_x
1.0
"""
self.velocity_x += force_x * delta_time
self.velocity_y += force_y * delta_time

def update_position(self: Body, delta_time: float) -> None:
"""
Euler algorithm for position

>>> body = Body(0.,0.,1.,0.)
>>> body.update_position(1.)
>>> body.position_x
1.0
"""
self.position_x += self.velocity_x * delta_time
self.position_y += self.velocity_y * delta_time


class BodySystem:
"""
This class is used to hold the bodies, the gravitation constant, the time
factor and the softening factor. The time factor is used to control the speed
of the simulation. The softening factor is used for softening, a numerical
trick for N-body simulations to prevent numerical divergences when two bodies
get too close to each other.
"""

def __init__(
self: BodySystem,
bodies: list[Body],
gravitation_constant: float = 1.0,
time_factor: float = 1.0,
softening_factor: float = 0.0,
) -> None:
self.bodies = bodies
self.gravitation_constant = gravitation_constant
self.time_factor = time_factor
self.softening_factor = softening_factor

def update_system(self: BodySystem, delta_time: float) -> None:
"""
For each body, loop through all other bodies to calculate the total
force they exert on it. Use that force to update the body's velocity.

>>> body_system = BodySystem([Body(0,0,0,0), Body(10,0,0,0)])
>>> body_system.update_system(1)
>>> body_system.bodies[0].position_x
0.01
"""
for body1 in self.bodies:
force_x = 0.0
force_y = 0.0
for body2 in self.bodies:
if body1 != body2:
dif_x = body2.position_x - body1.position_x
dif_y = body2.position_y - body1.position_y

# Calculation of the distance using Pythagoras's theorem
# Extra factor due to the softening technique
distance = (dif_x ** 2 + dif_y ** 2 + self.softening_factor) ** (
1 / 2
)

# Newton's law of universal gravitation.
force_x += (
self.gravitation_constant * body2.mass * dif_x / distance ** 3
)
force_y += (
self.gravitation_constant * body2.mass * dif_y / distance ** 3
)

# Update the body's velocity once all the force components have been added
body1.update_velocity(force_x, force_y, delta_time * self.time_factor)

# Update the positions only after all the velocities have been updated
for body in self.bodies:
body.update_position(delta_time * self.time_factor)


def plot(
title: str,
body_system: BodySystem,
x_start: float = -1,
x_end: float = 1,
y_start: float = -1,
y_end: float = 1,
) -> None:
INTERVAL = 20 # Frame rate of the animation
DELTA_TIME = INTERVAL / 1000 # Time between time steps in seconds

fig = plt.figure()
fig.canvas.set_window_title(title)

# Set section to be plotted
ax = plt.axes(xlim=(x_start, x_end), ylim=(y_start, y_end))

# Each body is drawn as a patch by the plt-function
patches = []
for body in body_system.bodies:
patches.append(
plt.Circle((body.position_x, body.position_y), body.size, fc=body.color)
)

# Function called once at the start of the animation
def init() -> list[patches.Circle]: # type: ignore
axes = plt.gca()
axes.set_aspect("equal")

for patch in patches:
ax.add_patch(patch)
return patches

# Function called at each step of the animation
def animate(i: int) -> list[patches.Circle]: # type: ignore
# Update the positions of the bodies
body_system.update_system(DELTA_TIME)

# Update the positions of the patches
for patch, body in zip(patches, body_system.bodies):
patch.center = (body.position_x, body.position_y)
return patches

anim = animation.FuncAnimation( # noqa: F841
fig, animate, init_func=init, interval=INTERVAL, blit=True
)

plt.show()


if __name__ == "__main__":
# Example 1: figure-8 solution to the 3-body-problem
position_x = 0.9700436
position_y = -0.24308753
velocity_x = 0.466203685
velocity_y = 0.43236573

bodies1 = [
Body(position_x, position_y, velocity_x, velocity_y, size=0.2, color="red"),
Body(-position_x, -position_y, velocity_x, velocity_y, size=0.2, color="green"),
Body(0, 0, -2 * velocity_x, -2 * velocity_y, size=0.2, color="blue"),
]
body_system1 = BodySystem(bodies1, time_factor=3)
plot("Figure-8 solution to the 3-body-problem", body_system1, -2, 2, -2, 2)

# Example 2: Moon's orbit around the earth
moon_mass = 7.3476e22
earth_mass = 5.972e24
velocity_dif = 1022
earth_moon_distance = 384399000
gravitation_constant = 6.674e-11

# Calculation of the respective velocities so that total impulse is zero,
# i.e. the two bodies together don't move
moon_velocity = earth_mass * velocity_dif / (earth_mass + moon_mass)
earth_velocity = moon_velocity - velocity_dif

moon = Body(-earth_moon_distance, 0, 0, moon_velocity, moon_mass, 10000000, "grey")
earth = Body(0, 0, 0, earth_velocity, earth_mass, 50000000, "blue")
body_system2 = BodySystem([earth, moon], gravitation_constant, time_factor=1000000)
plot(
"Moon's orbit around the earth",
body_system2,
-430000000,
430000000,
-430000000,
430000000,
)

# Example 3: Random system with many bodies
bodies = []
for i in range(10):
velocity_x = random.uniform(-0.5, 0.5)
velocity_y = random.uniform(-0.5, 0.5)

# Bodies are created pairwise with opposite velocities so that the
# total impulse remains zero
bodies.append(
Body(
random.uniform(-0.5, 0.5),
random.uniform(-0.5, 0.5),
velocity_x,
velocity_y,
size=0.05,
)
)
bodies.append(
Body(
random.uniform(-0.5, 0.5),
random.uniform(-0.5, 0.5),
-velocity_x,
-velocity_y,
size=0.05,
)
)
body_system3 = BodySystem(bodies, 0.01, 10, 0.1)
plot("Random system with many bodies", body_system3, -1.5, 1.5, -1.5, 1.5)