Binary Orbits: Dynamical Reasoning Lab

Observable-first binary lab

Trace the same orbit through geometry, velocity, and spectra.

Start with the orbit to locate the barycenter, then switch views to see how the same motion becomes a measurable RV curve and shifting spectral lines.

What this shows 2 notes

Use conservation laws and observables to reason from orbit geometry to spectroscopic binary signatures.

Auto-fit changes the camera/visual scale only; it does not change the physics.

What to notice dynamics first
  • If the masses are unequal, the lighter body must move faster so that linear momentum remains zero in the barycentric frame.
  • Both stars share one angular frequency $\omega$. Period equality follows from shared rotation about the same center.
  • The total mass determines the period; the mass ratio determines how the motion is partitioned.
  • Changing inclination leaves the orbit geometry alone but changes the projected radial-velocity signal and the amount of line wobble you can observe.
Model notes $\mathrm{AU}$ / $\mathrm{yr}$ / $M_{\odot}$
  • This model enforces Newton's laws exactly for two point masses in circular orbit.
  • It conserves total momentum and uses the barycentric frame (center of mass at rest).
  • It does not include eccentricity, tides, relativity, or mass transfer.
  • Units: distance in $\mathrm{AU}$, time in $\mathrm{yr}$, and masses in $M_{\odot}$. We use $$G = 4\pi^2\,\frac{\mathrm{AU}^3}{\mathrm{yr}^2\,M_{\odot}}.$$
Derive it why $P^2 = a^3/(M_1+M_2)$

Start from gravitational force and circular motion in the barycentric frame:

$$F = \frac{G M_1 M_2}{a^2}, \qquad F = M_1\omega^2 a_1.$$

Using $a_1 = a\,M_2/(M_1+M_2)$ gives:

$$\omega^2 = \frac{G(M_1 + M_2)}{a^3}.$$

Then with $\omega = 2\pi/P$ and the teaching normalization for $G$:

$$P^2 = \frac{a^3}{M_1 + M_2}.$$

Spectroscopy link $K$, $f(m)$, and minimum masses

Once orbital speeds are projected along the line of sight, the measurable quantities are the RV semi-amplitudes:

$$K_1 = \frac{2\pi a_1 \sin i}{P}, \qquad K_2 = \frac{2\pi a_2 \sin i}{P}.$$

For a double-lined binary, the ratio tells you the mass ratio directly:

$$\frac{K_1}{K_2} = \frac{M_2}{M_1} = q.$$

For mass inference, astronomers use the SB1 mass function and the SB2 minimum masses:

$$f(m) = \frac{P K_1^3}{2\pi G}, \qquad M_1\sin^3 i,\; M_2\sin^3 i.$$

Predict and compare capture, then change something

Predict and compare

Capture the current system, then change controls. The demo stays live while you compare your prediction to the measured trend.

Baseline snapshot: No baseline captured yet.

RV inversion challenge measure $K_1$, $K_2$, infer $q$
What must be true? check your reasoning

What must be true?

Choose all statements that must hold for this model, then check.