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Added table wrt the invariable plane
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As John Holtz mentions in the comments, the true $h$ value for a planet may be smaller than the value shown in my table. ThatThe table's $h$ value only occurs if the planet's argument of periapsis is ±90°. Fortunately, Neptune's argument of periapsis is currently ~272°, so my $h$ value should be fairly close to the true value.


James K has supplied a list of orbit inclinations to the Solar System's invariable plane. Here's the table using those values.

Planet distance from the Solar System invariable plane.

NameInclinationAphelionDistance
Mercury6.3469.87.708
Venus2.19108.94.161
Earth1.57152.14.167
Mars1.67249.27.262
Jupiter0.32816.64.561
Saturn0.931514.524.582
Uranus1.023003.653.468
Neptune0.724545.757.121

That reduces Neptune's $h$ considerably! Uranus may even be the current "winner", depending on their arguments of periapsis with respect to the invariable plane.

As John Holtz mentions in the comments, the true $h$ value for a planet may be smaller than the value shown in my table. That $h$ value only occurs if the planet's argument of periapsis is ±90°. Fortunately, Neptune's argument of periapsis is currently ~272°, so my $h$ value should be fairly close to the true value.

As John Holtz mentions in the comments, the true $h$ value for a planet may be smaller than the value shown in my table. The table's $h$ value only occurs if the planet's argument of periapsis is ±90°. Fortunately, Neptune's argument of periapsis is currently ~272°, so my $h$ value should be fairly close to the true value.


James K has supplied a list of orbit inclinations to the Solar System's invariable plane. Here's the table using those values.

Planet distance from the Solar System invariable plane.

NameInclinationAphelionDistance
Mercury6.3469.87.708
Venus2.19108.94.161
Earth1.57152.14.167
Mars1.67249.27.262
Jupiter0.32816.64.561
Saturn0.931514.524.582
Uranus1.023003.653.468
Neptune0.724545.757.121

That reduces Neptune's $h$ considerably! Uranus may even be the current "winner", depending on their arguments of periapsis with respect to the invariable plane.

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The thickness of the planetary disc is dominated by Neptune, due to its large orbital radius.

We can calculate a planet's maximum distance from the ecliptic $h$ from the inclination angle of its orbit $\theta$ and its aphelion distance $r$. We get a right triangle, with $r$ as the hypotenuse, so $$h = r\sin\theta$$

The table below was calculated using data from the NASA Planetary Fact Sheet. Angles are in degrees, distances are in millions of kilometres.

Planet distance from the ecliptic plane.

Name Inclination Aphelion Distance
Mercury 7.0 69.8 8.506
Venus 3.4 108.9 6.458
Earth 0.0 152.1 0.000
Mars 1.9 249.2 8.262
Jupiter 1.3 816.6 18.526
Saturn 2.5 1514.5 66.062
Uranus 0.8 3003.6 41.937
Neptune 1.8 4545.7 142.784

So the total thickness of the disc is $2×142.784 = 285.568$ million kilometres, which is almost $1.91$ au.


Here's the Python code I used to create that table:

from math import sin, radians

names = (
 'Mercury', 'Venus', 'Earth',
 'Mars', 'Jupiter', 'Saturn',
 'Uranus', 'Neptune',
)

# Orbit data from https://nssdc.gsfc.nasa.gov/planetary/factsheet/
# Inclination to ecliptic plane
inc = [7.0, 3.4, 0.0, 1.9, 1.3, 2.5, 0.8, 1.8]
# Aphelion in millions of kilometres
aph = [69.8, 108.9, 152.1, 249.2, 816.6, 1514.5, 3003.6, 4545.7]

print("|Name | Inclination | Aphelion | Distance|")
print("|-|-|-|-|")
for n, th, r in zip(names, inc, aph):
    # Perpendicular distance to eciptic
    h = r * sin(radians(th))
    print(f"|{n} | {th} | {r} | {h:.3f}|")

Here's a live version of the script running on the SageMathCell server.


As John Holtz mentions in the comments, the true $h$ value for a planet may be smaller than the value shown in my table. That $h$ value only occurs if the planet's argument of periapsis is ±90°. Fortunately, Neptune's argument of periapsis is currently ~272°, so my $h$ value should be fairly close to the true value.

The thickness of the planetary disc is dominated by Neptune, due to its large orbital radius.

We can calculate a planet's maximum distance from the ecliptic $h$ from the inclination angle of its orbit $\theta$ and its aphelion distance $r$. We get a right triangle, with $r$ as the hypotenuse, so $$h = r\sin\theta$$

The table below was calculated using data from the NASA Planetary Fact Sheet. Angles are in degrees, distances are in millions of kilometres.

Planet distance from the ecliptic plane.

Name Inclination Aphelion Distance
Mercury 7.0 69.8 8.506
Venus 3.4 108.9 6.458
Earth 0.0 152.1 0.000
Mars 1.9 249.2 8.262
Jupiter 1.3 816.6 18.526
Saturn 2.5 1514.5 66.062
Uranus 0.8 3003.6 41.937
Neptune 1.8 4545.7 142.784

So the total thickness of the disc is $2×142.784 = 285.568$ million kilometres, which is almost $1.91$ au.


Here's the Python code I used to create that table:

from math import sin, radians

names = (
 'Mercury', 'Venus', 'Earth',
 'Mars', 'Jupiter', 'Saturn',
 'Uranus', 'Neptune',
)

# Orbit data from https://nssdc.gsfc.nasa.gov/planetary/factsheet/
# Inclination to ecliptic plane
inc = [7.0, 3.4, 0.0, 1.9, 1.3, 2.5, 0.8, 1.8]
# Aphelion in millions of kilometres
aph = [69.8, 108.9, 152.1, 249.2, 816.6, 1514.5, 3003.6, 4545.7]

print("|Name | Inclination | Aphelion | Distance|")
print("|-|-|-|-|")
for n, th, r in zip(names, inc, aph):
    # Perpendicular distance to eciptic
    h = r * sin(radians(th))
    print(f"|{n} | {th} | {r} | {h:.3f}|")

Here's a live version of the script running on the SageMathCell server.

The thickness of the planetary disc is dominated by Neptune, due to its large orbital radius.

We can calculate a planet's maximum distance from the ecliptic $h$ from the inclination angle of its orbit $\theta$ and its aphelion distance $r$. We get a right triangle, with $r$ as the hypotenuse, so $$h = r\sin\theta$$

The table below was calculated using data from the NASA Planetary Fact Sheet. Angles are in degrees, distances are in millions of kilometres.

Planet distance from the ecliptic plane.

Name Inclination Aphelion Distance
Mercury 7.0 69.8 8.506
Venus 3.4 108.9 6.458
Earth 0.0 152.1 0.000
Mars 1.9 249.2 8.262
Jupiter 1.3 816.6 18.526
Saturn 2.5 1514.5 66.062
Uranus 0.8 3003.6 41.937
Neptune 1.8 4545.7 142.784

So the total thickness of the disc is $2×142.784 = 285.568$ million kilometres, which is almost $1.91$ au.


Here's the Python code I used to create that table:

from math import sin, radians

names = (
 'Mercury', 'Venus', 'Earth',
 'Mars', 'Jupiter', 'Saturn',
 'Uranus', 'Neptune',
)

# Orbit data from https://nssdc.gsfc.nasa.gov/planetary/factsheet/
# Inclination to ecliptic plane
inc = [7.0, 3.4, 0.0, 1.9, 1.3, 2.5, 0.8, 1.8]
# Aphelion in millions of kilometres
aph = [69.8, 108.9, 152.1, 249.2, 816.6, 1514.5, 3003.6, 4545.7]

print("|Name | Inclination | Aphelion | Distance|")
print("|-|-|-|-|")
for n, th, r in zip(names, inc, aph):
    # Perpendicular distance to eciptic
    h = r * sin(radians(th))
    print(f"|{n} | {th} | {r} | {h:.3f}|")

Here's a live version of the script running on the SageMathCell server.


As John Holtz mentions in the comments, the true $h$ value for a planet may be smaller than the value shown in my table. That $h$ value only occurs if the planet's argument of periapsis is ±90°. Fortunately, Neptune's argument of periapsis is currently ~272°, so my $h$ value should be fairly close to the true value.

Source Link
PM 2Ring
  • 16.7k
  • 2
  • 52
  • 70

The thickness of the planetary disc is dominated by Neptune, due to its large orbital radius.

We can calculate a planet's maximum distance from the ecliptic $h$ from the inclination angle of its orbit $\theta$ and its aphelion distance $r$. We get a right triangle, with $r$ as the hypotenuse, so $$h = r\sin\theta$$

The table below was calculated using data from the NASA Planetary Fact Sheet. Angles are in degrees, distances are in millions of kilometres.

Planet distance from the ecliptic plane.

Name Inclination Aphelion Distance
Mercury 7.0 69.8 8.506
Venus 3.4 108.9 6.458
Earth 0.0 152.1 0.000
Mars 1.9 249.2 8.262
Jupiter 1.3 816.6 18.526
Saturn 2.5 1514.5 66.062
Uranus 0.8 3003.6 41.937
Neptune 1.8 4545.7 142.784

So the total thickness of the disc is $2×142.784 = 285.568$ million kilometres, which is almost $1.91$ au.


Here's the Python code I used to create that table:

from math import sin, radians

names = (
 'Mercury', 'Venus', 'Earth',
 'Mars', 'Jupiter', 'Saturn',
 'Uranus', 'Neptune',
)

# Orbit data from https://nssdc.gsfc.nasa.gov/planetary/factsheet/
# Inclination to ecliptic plane
inc = [7.0, 3.4, 0.0, 1.9, 1.3, 2.5, 0.8, 1.8]
# Aphelion in millions of kilometres
aph = [69.8, 108.9, 152.1, 249.2, 816.6, 1514.5, 3003.6, 4545.7]

print("|Name | Inclination | Aphelion | Distance|")
print("|-|-|-|-|")
for n, th, r in zip(names, inc, aph):
    # Perpendicular distance to eciptic
    h = r * sin(radians(th))
    print(f"|{n} | {th} | {r} | {h:.3f}|")

Here's a live version of the script running on the SageMathCell server.