Binary Orbits: Dynamical Reasoning Lab
Radial velocity curves
Curves are projected along the line of sight for inclination $i$. During the challenge, click near the extrema; the largest $|v_r|$ you sample becomes your measured $K$.
Spectrum strip
Top strip shows rest-frame lab lines. Lower strip shows what the observer sees after Doppler shifting the selected element lines.
Energy decomposition
Signed circular-orbit energies in teaching units: $M_{\odot}\,\mathrm{AU}^2/\mathrm{yr}^2$. Positive bars are kinetic; negative bars are bound energy terms.
What this shows
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
- 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
- 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
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
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
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
RV inversion challenge
Measure $K_1$ and $K_2$ from the RV curves, infer $q=K_1/K_2$, then compare to the model.
Start challenge to infer q from measured RV amplitudes.
Copy Results and station snapshots are locked while the challenge is active and unrevealed.
What must be true?
What must be true?
Choose all statements that must hold for this model, then check.