Homework 5 Solutions

Masses from Motion + Magnitudes/HR Synthesis (Midterm 1 Review)

Solutions to Homework 5.
Author

Dr. Anna Rosen

Published

March 4, 2026

Note

Student note: These are model solutions written to show reasoning, units, and checks. Your solutions can be shorter if your setup and logic are correct.

Grade memo note: Use these to write your reflection (what you got right, what broke, and what you will do differently next time).


Part A — Masses from Motion + Magnitudes

Problem 1 — Why “Weighing a Star” Is an Inference

Restatement: Explain how stellar masses are determined without direct weighing.

Key insight: Mass is inferred from dynamical observables (positions, periods, radial velocities) through Newton/Kepler models.

Answer:

    1. Example direct observable: orbital period, angular separation, or radial-velocity amplitude from spectral-line Doppler shifts.
    1. Physical model: Newtonian gravity + Kepler’s laws.
    1. This is still measurement because we directly measure observables with instruments and use a tested physical law to map those observables to mass. In science, “measured” often means model-mediated inference, not literal direct contact. The critical check is whether the model is valid for the system and whether uncertainties are tracked.

Sanity check: If independent observables (imaging orbit + RV curve) give consistent masses, the inference is behaving like a reliable measurement. \(\checkmark\)

Common misconception: “Inferred” means “guessed.” In reality, inferred quantities can be tightly constrained and highly reliable.


Problem 2 — Total Mass from a Visual Binary

Given: \(P = 8.0\,\text{yr}\), \(a = 4.0\,\text{AU}\).

Find: \(M_1 + M_2\), then each mass if equal.

Equation: \[ \frac{M_1 + M_2}{M_\odot} = \frac{\left(a/\text{AU}\right)^3}{\left(P/\text{yr}\right)^2} \]

Steps:

(a) \[ \frac{M_1 + M_2}{M_\odot} = \frac{4.0^3}{8.0^2} = \frac{64}{64} = 1.0 \]

\[ \boxed{M_1 + M_2 = 1.0\,M_\odot} \]

(b) Equal masses: \[ M_1 = M_2 = \frac{1.0\,M_\odot}{2} = 0.50\,M_\odot \]

\[ \boxed{M_1 = M_2 = 0.50\,M_\odot} \]

(c) The total mass is equal to the Sun’s mass.

Unit check: \((a/\text{AU})\) and \((P/\text{yr})\) are dimensionless; result is in solar masses. \(\checkmark\)

Sanity check: \(a\) and \(P\) were chosen so \(a^3 = P^2\); a total mass near \(1\,M_\odot\) is expected. \(\checkmark\)


Problem 3 — Mass Ratio from SB2 Velocities

Given: \(K_1 = 30\,\text{km/s}\), \(K_2 = 45\,\text{km/s}\), \(M_1 + M_2 = 3.0\,M_\odot\).

Find: \(M_2/M_1\), then \(M_1\), \(M_2\).

Equation: \[ \frac{M_2}{M_1} = \frac{K_1}{K_2} \]

Steps:

(a) \[ \frac{M_2}{M_1} = \frac{30}{45} = \frac{2}{3} = 0.667 \]

\[ \boxed{\frac{M_2}{M_1} = 0.667} \]

(b) Let \(M_2 = 0.667\,M_1\). Then: \[ M_1 + M_2 = M_1 + 0.667M_1 = 1.667M_1 = 3.0\,M_\odot \] \[ M_1 = \frac{3.0}{1.667}M_\odot = 1.8\,M_\odot \] \[ M_2 = 3.0 - 1.8 = 1.2\,M_\odot \]

\[ \boxed{M_1 = 1.8\,M_\odot,\quad M_2 = 1.2\,M_\odot} \]

(c) Star 1 is more massive. The more massive component has the smaller orbital speed/amplitude.

Unit check: \(K_1/K_2\) is dimensionless; masses remain in \(M_\odot\). \(\checkmark\)

Sanity check: Since \(K_1 < K_2\), star 1 should be more massive; \(1.8 > 1.2\) is consistent. \(\checkmark\)


Problem 4 — Inclination and the Hidden-Mass Problem

Restatement: Explain why inclination controls mass precision in spectroscopic binaries.

Key insight: Spectroscopy measures line-of-sight velocity (\(v\sin i\)), not full orbital speed.

Answer:

    1. Eclipsing systems are near edge-on (\(i \approx 90^\circ\)), so \(\sin i \approx 1\) and the true orbital speeds are close to measured radial speeds. This collapses a major degeneracy.
    1. Inclination enters because observed RV is \(v_r = v\sin i\). You need \(i\) to recover \(v\) and therefore mass.
    1. In a nearly face-on system, \(\sin i\) is small, so observed RV amplitudes can be small even when true orbital speeds (and masses) are large. Without \(i\), masses can be severely underestimated.

Sanity check: Keeping the same true orbital speed but decreasing \(i\) must decrease measured \(v_r\); that is exactly what the \(\sin i\) factor predicts. \(\checkmark\)

Common misconception: Small measured RV amplitudes always mean low mass. They can also mean low inclination.


Problem 5 — Required Capstone: Eclipsing SB2 Full Inference Chain

Restatement: Use \(P\), \(a\), and SB2 velocity amplitudes to infer component masses and relative luminosities.

Key elements:

  • Use Kepler solar-unit form for total mass
  • Use \(K\) ratio for mass ratio
  • Solve the two-equation system for \(M_A\), \(M_B\)
  • Convert mass ratio to luminosity ratio with \(L \propto M^{3.5}\)
  • Clearly separate measured observables from inferred quantities

Sample response:

(a) Total mass \[ \frac{M_A + M_B}{M_\odot} = \frac{\left(2.00\,\text{AU}/1\,\text{AU}\right)^3}{\left(2.00\,\text{yr}/1\,\text{yr}\right)^2} = \frac{(2.00)^3}{(2.00)^2} = \frac{8}{4} = 2.00 \]

\[ \boxed{M_A + M_B = 2.00\,M_\odot} \]

(b) Mass ratio and individual masses \[ \frac{M_B}{M_A} = \frac{K_A}{K_B} = \frac{40\,\text{km/s}}{20\,\text{km/s}} = 2.0 \] So \(M_B = 2M_A\). Then: \[ M_A + M_B = M_A + 2M_A = 3M_A = 2.00\,M_\odot \] \[ M_A = \frac{2.00}{3}\,M_\odot = 0.667\,M_\odot, \qquad M_B = 1.333\,M_\odot \]

\[ \boxed{M_A = 0.667\,M_\odot,\quad M_B = 1.333\,M_\odot} \]

(c) Star B is more massive, and star A moves faster (\(K_A > K_B\)).

(d) Luminosity ratio \[ \frac{L_B}{L_A} \approx \left(\frac{M_B}{M_A}\right)^{3.5} = 2.0^{3.5} \approx 11.3 \]

\[ \boxed{\frac{L_B}{L_A} \approx 11} \]

So B should dominate the total luminosity.

(e) Observable → model → inference chain: We directly observe \(P\), \(a\), and Doppler amplitudes \(K_A\), \(K_B\). Kepler’s law maps \((P,a)\) to total mass, and center-of-mass dynamics maps \(K_A/K_B\) to mass ratio. Combining those gives individual masses. Then the main-sequence scaling \(L\propto M^{3.5}\) gives luminosity ratio. Key assumptions include Newtonian two-body dynamics, reliable orbital parameter extraction, and that both stars are main-sequence stars so the adopted mass-luminosity scaling applies.

Unit check: \((a/\text{AU})\), \((P/\text{yr})\), and \((K_A/K_B)\) are dimensionless ratios, so the Kepler and mass-ratio outputs are dimensionless until we multiply by \(M_\odot\). The luminosity ratio \(L_B/L_A\) is dimensionless. \(\checkmark\)

Sanity check: The more massive star should move more slowly, and the ratio \(K_A/K_B=2\) implies \(M_B/M_A=2\), which matches the solved masses. \(\checkmark\)

Grading guidance: Full credit requires all links in the chain (total mass, mass ratio, component masses, luminosity ratio, and one explicit assumption).


Problem 6 — Apparent vs. Absolute Magnitude Misconception

Restatement: Correct a misuse of apparent magnitude for intrinsic brightness claims.

Key insight: Apparent magnitude depends on both luminosity and distance; intrinsic brightness requires absolute magnitude or luminosity.

Answer:

    1. The statement is not always valid because \(m\) measures how bright a star appears from Earth, not how much power it emits.
    1. You need distance (or directly absolute magnitude \(M\)) to compare intrinsic brightness.
    1. Apparent magnitude \(m\) is observed brightness at Earth; absolute magnitude \(M\) is the magnitude a source would have at \(10\,\text{pc}\).

Sanity check: A nearby low-luminosity star can appear brighter than a distant high-luminosity star, so apparent brightness alone cannot rank intrinsic power. \(\checkmark\)

Common misconception: Brighter-looking stars are always intrinsically brighter.


Problem 7 — Distance Modulus Practice

Given:

    1. \(m = 11.2\), \(M = 1.2\)
    1. \(d = 250\,\text{pc}\), \(m = 14.0\)
    1. Magnitude difference \(\Delta m = 5.0\)

Find: distance, absolute magnitude, and flux ratio.

Equation: \[ m - M = 5\log_{10}\!\left(\frac{d}{10\,\text{pc}}\right) \]

Steps:

(a) \[ 11.2 - 1.2 = 10.0 = 5\log_{10}\!\left(\frac{d}{10\,\text{pc}}\right) \] \[ \log_{10}\!\left(\frac{d}{10\,\text{pc}}\right)=2.0 \Rightarrow \frac{d}{10\,\text{pc}}=10^2=100 \Rightarrow d=1000\,\text{pc} \]

\[ \boxed{d = 1.0\times10^3\,\text{pc}} \]

(b) \[ m - M = 5\log_{10}\!\left(\frac{250}{10}\right)=5\log_{10}(25)=5(1.39794)=6.99 \] \[ M = m - (m-M)=14.0-6.99=7.01 \]

\[ \boxed{M \approx 7.0\,\text{mag}} \]

(c) Magnitude-flux relation: \[ \Delta m = -2.5\log_{10}\!\left(\frac{F_2}{F_1}\right) \] For \(\Delta m=5.0\): \[ \frac{F_1}{F_2} = 10^{5/2.5}=10^2=100 \]

\[ \boxed{\text{A 5-mag difference corresponds to a factor of }100\text{ in observed flux; the brighter (smaller-}m\text{) star has }100\times\text{ more flux.}} \]

Unit check: Distance modulus argument uses a distance ratio (dimensionless). \(\checkmark\)

Sanity check: Larger \(m-M\) means farther distance; \(m-M=10\) giving \(1000\,\text{pc}\) is consistent. \(\checkmark\)


Part B — HR Synthesis + Cumulative Midterm Bridge

Problem 8 — Main-Sequence Fitting by Magnitude Offset

Restatement: Use a vertical magnitude shift in matched main sequences to infer distance ratio and distance.

Key elements:

  • Use \(\Delta m = 5\log_{10}(d_t/d_r)\) when intrinsic sequence is assumed same
  • Convert ratio to distance
  • Explain extinction bias direction

Sample response:

(a) \[ \Delta m = 5\log_{10}\!\left(\frac{d_{\text{target}}}{d_{\text{ref}}}\right) \Rightarrow 3.0 = 5\log_{10}\!\left(\frac{d_{\text{target}}}{d_{\text{ref}}}\right) \] \[ \log_{10}\!\left(\frac{d_{\text{target}}}{d_{\text{ref}}}\right)=0.6 \Rightarrow \frac{d_{\text{target}}}{d_{\text{ref}}}=10^{0.6}=3.98 \]

\[ \boxed{\frac{d_{\text{target}}}{d_{\text{ref}}}\approx3.98} \]

(b) \[ d_{\text{target}} = 3.98\times100\,\text{pc}=398\,\text{pc} \]

\[ \boxed{d_{\text{target}}\approx4.0\times10^2\,\text{pc}} \]

(c) Extinction makes stars appear fainter, increasing the observed magnitude offset. If uncorrected, this mimics larger distance, so the inferred distance is too large.

Unit check: \(\Delta m\) (mag) maps to \(\log_{10}(d_{\text{target}}/d_{\text{ref}})\), so only a dimensionless distance ratio can appear inside the logarithm. Multiplying that ratio by \(d_{\text{ref}}\) returns parsecs. \(\checkmark\)

Sanity check: Positive magnitude shift should mean farther target cluster; ratio \(>1\) confirms this. \(\checkmark\)

Grading guidance: Full credit requires correct ratio math and correct extinction-bias direction.


Problem 9 — Bridge to Module 3: Mass, Luminosity, and Lifetime

Given: \[ \frac{t_{\text{MS}}}{t_\odot} \approx \left(\frac{M}{M_\odot}\right)^{-2.5}, \qquad t_\odot=10\,\text{Gyr} \]

Find: Lifetimes for \(2.0\,M_\odot\) and \(5.0\,M_\odot\), plus age interpretation.

Steps:

(a) For \(2.0\,M_\odot\): \[ \frac{t_{\text{MS}}}{10\,\text{Gyr}} = 2.0^{-2.5}=0.1768 \Rightarrow t_{\text{MS}}=1.77\,\text{Gyr} \]

For \(5.0\,M_\odot\): \[ \frac{t_{\text{MS}}}{10\,\text{Gyr}} = 5.0^{-2.5}=0.0179 \Rightarrow t_{\text{MS}}=0.179\,\text{Gyr} \]

\[ \boxed{t_{\text{MS}}(2M_\odot)\approx1.8\,\text{Gyr},\quad t_{\text{MS}}(5M_\odot)\approx0.18\,\text{Gyr}} \]

(b) If turnoff mass is about \(2.0\,M_\odot\), cluster age is about the \(2.0\,M_\odot\) main-sequence lifetime:

\[ \boxed{\text{Age}\approx1.8\,\text{Gyr}} \]

(c) Massive stars burn fuel much faster and leave the main sequence quickly, so old clusters no longer contain many high-mass main-sequence stars.

Unit check: Lifetime ratio is dimensionless; multiplying by \(10\,\text{Gyr}\) returns time units. \(\checkmark\)

Sanity check: Higher mass gives shorter lifetime; \(0.18\,\text{Gyr} < 1.8\,\text{Gyr} < 10\,\text{Gyr}\) is correct ordering. \(\checkmark\)


Problem 10 — Cumulative Inference: One System, Multiple Models

Restatement: Combine orbital, RV, and photometric information to infer masses and intrinsic brightness, and identify uncertainty-reducing follow-up.

Key elements:

  • Kepler total mass from \(P,a\)
  • Mass ratio from \(K_1,K_2\)
  • Absolute magnitude from distance modulus
  • Explicit measured vs inferred separation
  • Reasonable follow-up observation with justification

Sample response:

(a) Total and individual masses \[ \frac{M_1+M_2}{M_\odot} =\frac{(4.0\,\text{AU}/1\,\text{AU})^3}{(4.0\,\text{yr}/1\,\text{yr})^2} =\frac{4.0^3}{4.0^2} =\frac{64}{16} =4.0 \Rightarrow M_1+M_2=4.0\,M_\odot \]

\[ \frac{M_2}{M_1} =\frac{K_1}{K_2} =\frac{25\,\text{km/s}}{20\,\text{km/s}} =1.25 \] So \(M_2=1.25M_1\) and: \[ M_1+1.25M_1=2.25M_1=4.0\,M_\odot \Rightarrow M_1=1.78\,M_\odot, \quad M_2=2.22\,M_\odot \]

\[ \boxed{M_1\approx1.78\,M_\odot,\quad M_2\approx2.22\,M_\odot} \]

(b) Combined absolute magnitude \[ M = m - (m-M) = 8.0 - 10.0 = -2.0 \]

\[ \boxed{M_{\text{combined}}=-2.0\,\text{mag}} \]

(c) Measured vs inferred: Measured directly are \(P\), \(a\), \(K_1\), \(K_2\), and apparent magnitude \(m\). The cluster distance modulus used here is an inferred intermediate from prior photometric modeling (not a raw direct observable). Using Kepler/Newton, we infer total mass from \(P\) and \(a\). Using center-of-mass dynamics, we infer mass ratio from \(K_1/K_2\), then individual masses. Using the distance modulus relation, we infer intrinsic brightness as absolute magnitude. Each step is model-dependent but testable, and each has uncertainty.

(d) Follow-up observation: A strong follow-up is eclipse photometry (or other inclination constraint), because it reduces geometric uncertainty and enables tighter component-property inference (masses/radii/luminosities) rather than only system-level estimates.

Unit check: Kepler and RV steps use dimensionless ratios to return masses in \(M_\odot\); the distance-modulus subtraction returns magnitude units (mag). \(\checkmark\)

Sanity check: The larger-mass component should have smaller velocity amplitude; \(M_2>M_1\) and \(K_2<K_1\) are consistent. \(\checkmark\)

Grading guidance: Full credit requires coherent chain logic, not just numerical answers.