DMGB / SYSTEMS v426

THE FIELD GUIDE / 035 · PLANETARY PHYSICS

Two numbers.
Many possible worlds.

A planet's mass and size tell us its average density and, under a spherical approximation, its surface gravity. They do not reveal a complete map of the interior.

Change mass and radius ↓

A very simple version

Imagine this

A planet’s mass tells how much stuff it has. Its size tells how much room that stuff takes up. Average density means how tightly the stuff is packed across the whole planet.

For curious readers: how it could help and what the evidence says

How it could help people

Mass and radius observations help scientists compare planets and test simple interior models. More observations may narrow the possibilities.

Evidence and limits

Average density and layered examples do not uniquely reveal interior composition.

Read-aloud starter; not yet tested with children. The fuller science, data, figures and sources follow below.

Start with what was observed

A planet crossing its star can reduce the light reaching a telescope. The transit helps constrain the planet's size relative to the star. The planet's gravitational pull can also affect the star's measured motion. Interpreting these signals requires a model: stellar properties, viewing geometry and uncertainties matter.

Observed starlight and stellar motion pass through models to constrain radius and mass. Gravity and average density derived from those inputs are not independent confirmations.
Observation, inference and consistency checks are different steps. Full-size diagram.

Mass, radius and gravity printed in a table may not be three independent measurements. If gravity was calculated from mass and radius, their agreement is expected. It is useful for finding arithmetic mistakes, but does not independently establish a planet's existence or identity.

NASA explains the distinct observation methods. Matching a few broad properties is not enough to identify a particular planetary system.

Before combining star-catalogue estimates, check that they refer to the same object, coordinate frame and observation epoch—the date to which the coordinates apply. A star's apparent position can change with motion and viewpoint. Two numbers can disagree because they describe different things, not simply because one instrument is less precise.

A weighted average gives some estimates more influence than others. Suppose two catalogues copied the same original measurement: counting them twice does not add an independent observation. Weights need a stated basis, and shared errors must be considered. Averaging cannot repair a common calibration error or settle which star was observed. A proposed catalogue combination without its input values, weights and uncertainty relationships cannot be reproduced or judged optimal.

HYPOTHETICAL SPHERE · NOT AN OBSERVED PLANET

Mass and radius work together

Choose the mass and radius of a spherical, non-rotating model. The starting values are rounded teaching inputs. No value in these controls is a new telescope measurement.

Spherical surface gravity
Mean density
First-order standard uncertainty in gravity
First-order standard uncertainty in density

Mean density in SI units: . Divide kg/m³ by 1000 to obtain g/cm³. Displayed digits help compare calculations; they do not create measurement precision.

Keep mass fixed and double radius: gravity falls to one quarter and average density to one eighth. Radius matters more strongly in density because a sphere's volume grows as its radius cubed. Some slider combinations need unrealistically dense or diffuse material; this lab checks arithmetic, not planetary stability.

Equations and uncertainty assumptions

For mass M in kilograms and radius R in metres: g=GM/R² and ρ=3M/(4πR³). We use G=6.67430×10−11 m³ kg−1 s−2. Real orbital measurements often constrain GM directly; this lab instead assigns mass and holds G fixed.

For small, independent input standard uncertainties, u(g)/g≈√[(u(M)/M)²+4(u(R)/R)²] and u(ρ)/ρ≈√[(u(M)/M)²+9(u(R)/R)²]. These are first-order approximations. The higher settings make this approximation less exact; zero means zero assigned contribution, not perfect real knowledge.

Mass and radius estimates can share errors. A covariance term would then be needed. Their derived gravity and density are also correlated, so the two outputs are not independent confirmations. G itself has uncertainty, which is omitted here explicitly. A standard uncertainty is not a guaranteed bound or automatically a 95% confidence interval.

Rotation and shape are omitted. At the equator of a rotating spherical approximation, effective gravity includes a subtraction ω²R, where ω=2π/rotation period. Real rapid rotation also changes the shape and gravity field; this expression alone cannot predict breakup. An ellipsoid's volume is 4πa²c/3, not the volume of a sphere with an arbitrarily selected radius.

One average can hide different interiors

Imagine two models with identical outside radius and mass. One has a small dense core; the other has a larger, less dense core. If the surrounding region is chosen appropriately, both give the same average density.

Two constant-density interior models share a mean density of5500kg per cubic metre with3500kg per cubic metre outer regions. Core radius fractions0.4 and0.7 require different core densities.
Equal bulk properties do not imply equal internal structure. The assigned densities are mathematical ingredients, not identified minerals. Full-size diagram.

TWO CONSTANT-DENSITY REGIONS · NO PRESSURE MODEL

Keep the average. Change the inside.

This separate example fixes mean density at 5500 kg/m³ and keeps the same outside radius for every comparison. It is not linked to the mass/radius controls above. Choose a core size and an outer-region density; calculate the core density needed to preserve total mass.

Constant-density two-region cross-sectionThe core is inside an outer region. Its radius changes with the chosen fraction.Core radius is not core volume fraction.
Required constant core density
Core fraction of total volume
Normalized moment of inertia C/(MR²)
Fixed mean density5500 kg/m³

Why these models share the same mass

Let x be core radius divided by outside radius. Its fraction of volume is x³. Then mean density is ρ̄=ρc x³+ρm(1−x³). For chosen outer-region density ρm, solve ρc=[ρ̄−ρm(1−x³)]/x³. All controls keep densities positive and the core at least as dense as the outer region.

The range 0.2–0.8 excludes the degenerate endpoints: at zero core radius no core density can be inferred, while at unit core radius there is no outer region to infer. A large density at a small core radius is a mathematical solution, not evidence that a material can sustain it.

The normalized moment of inertia describes how far mass lies from the rotation axis. For these concentric constant-density regions, C/(MR²)=(2/5)[ρc x⁵+ρm(1−x⁵)]/ρ̄. A uniform-density sphere gives 0.4. Changing the mass distribution changes this extra quantity while mass and outside radius stay fixed.

No pressure balance, temperature, equation of state, phase change or formation history is modelled. The drawing cannot establish real core boundaries, a mineral composition or hidden gas reservoirs. Even an additional moment-of-inertia estimate would constrain possibilities rather than automatically identify a unique composition.

What else would help?

Gravity variations, rotational behaviour and, where measurements are available, seismic waves can probe different aspects of an interior. Each introduces its own model and uncertainties. A detailed drawing of many layers remains a proposed explanation unless observations constrain those boundaries.

Today: these checks help catch unit or transcription errors, interpret mass-radius diagrams and distinguish independent observations from derived numbers.

A possible next step: compare several material and thermal models with additional observations to narrow the possibilities. Mean density alone does not establish habitability, mineral deposits or usable engineering resources.

DETERMINISTIC CALCULATIONS · ASSIGNED UNCERTAINTIES

Explore the full calculation

At fixed hypothetical mass 6 times 10 to the 24 kilograms, surface gravity and average density decrease with radius. Shading shows a separate scenario of bounded mass and radius inputs, not statistical confidence.
Figure 1. A 101-point radius sweep at fixed central mass 6 × 1024 kilograms. The shading uses ±5% mass and ±2% radius as hard bounds, a separate assumption from the standard uncertainties in the interactive lab. It is not a 95% confidence interval. PDF · Full-size figure.
Sixty-one core-radius choices preserve mean density 5500 kilograms per cubic metre with outer density 3500. Required core density and normalized moment of inertia vary despite identical bulk properties.
Figure 2. Same mass and outside radius, different internal distributions. The left vertical axis is logarithmic: equal steps represent equal ratios. Large required core densities are mathematical possibilities only. This constant-density construction does not solve planetary pressure balance. PDF · Full-size figure.

603 calculation rows: 441 mass/radius combinations, 101 radius-and-uncertainty points, 61 interior alternatives. Inputs are assigned; no measured error bars or new observations are claimed.

Run the standalone script with Python, NumPy and Matplotlib. Runtime and generator SHA-256 are recorded. With positive bounded inputs, minimum gravity and density use the smallest mass and largest radius; maxima use the largest mass and smallest radius. Unlike a propagated standard uncertainty, these extrema follow from declared hard bounds.

What these checks establish

Scaling and units are checked independently. Finite-difference derivatives are compared with the uncertainty formulas, and integrated layer masses and shell moments with the closed-form interior expressions. These checks establish agreement within the declared mathematical models, not the existence or composition of a planet.

NASA/JPL constants · NASA observation methods · NASA-hosted review: The Inner Solar System's Habitability Through Time

The review provides context on composition and interior evolution; it is not a derivation or validation of this two-region illustration. Historical calculations remain separate. The public examples use neutral hypothetical inputs and make no discovery or identification claim.