Lecture 2: Tools of the Trade
Mastering Astrophysical Reasoning
Learning Objectives
By the end of this reading, you will be able to:
- Use dimensional analysis to verify whether an equation could possibly be correct
- Apply the ratio method to compare astronomical quantities without wrestling with enormous numbers
- Convert between SI and CGS unit systems fluently
- Perform order-of-magnitude estimations to sanity-check whether your answers make physical sense
Every physics mistake leaves a fingerprint.
Dimensional analysis is your smoke detector—it catches errors before you waste time calculating. Ratios eliminate the paralysis of giant numbers. Unit conversions let you speak the language of astrophysics. And order-of-magnitude thinking keeps you grounded in physical reality.
These four tools transform astronomy from memorizing facts into doing physics.
Why This Matters: The Challenge of Points of Light
Stars appear as mere points of light. Is that faint red glow a tiny nearby dwarf or a massive distant supergiant? We can’t visit them. We can’t weigh them directly. We can’t send a probe to measure their temperature.
So how do we know anything about them?
We need a toolkit that extracts physics from limited data. That’s what this lecture provides: four methods that turn “points of light” into physical understanding.
Section 2.1 — Dimensional Analysis: The “smoke detector” for physics. Learn to catch impossible equations before you waste time calculating.
Section 2.2 — The Ratio Method: Escape the trap of enormous numbers by comparing quantities to known references.
Section 2.3 — Unit Conversions: Master the CGS system that astrophysicists use, and learn to translate fluently.
Section 2.4 — Order-of-Magnitude Estimation: Develop intuition for cosmic scales and learn when an answer is “in the right ballpark.”
Section 2.5 — Connecting the Toolkit: See how all four tools work together in practice.
Fair warning: These aren’t just “math drills”—they’re inference tools. By the end of this reading, you’ll be able to derive how planets orbit and estimate the size of a black hole using nothing but dimensional logic.
2.1 Tool 1: Dimensional Analysis
The Smoke Detector for Physics
Here’s a student’s attempt to calculate Mars’s orbital period:
\[P = \frac{r^2}{GM}\]
Their calculator gives \(P = 3.5 \times 10^{14}\)… something.
Can you tell this equation is wrong without doing any calculation?
Yes. And the method is called dimensional analysis.
Dimension: The physical nature of a quantity—what kind of thing it is (length, mass, time, etc.). Dimensions are invariant; units are conventions.
Units vs. Dimensions
Every physical quantity has two aspects:
- Units are human conventions: meters vs. centimeters, grams vs. kilograms
- Dimensions are physical invariants: length is length, no matter what unit you measure it in
![Split diagram contrasting UNITS (The Map) showing ruler, stopwatch, and weights labeled as 'human inventions, fungible, arbitrary' versus DIMENSIONS (The Territory) showing [L], [T], [M] symbols labeled as 'physical realities, invariant, fundamental'. Footer states physical laws must hold regardless of units used.](../../../assets/images/module-01/units-vs-dimensions-nblm.png)
Units are conventions; dimensions are physical reality (Credit: Course illustration (A. Rosen))
We denote dimensions with square brackets:
| Dimension | Symbol | Examples of Units |
|---|---|---|
| Length | \([L]\) | cm, m, AU, pc, ly |
| Mass | \([M]\) | g, kg, \(M_\odot\) |
| Time | \([T]\) | s, yr, Myr |
Every physical quantity in mechanics can be built from three fundamental dimensions: Length, Mass, and Time.
Velocity? That’s \([L]/[T] = [LT^{-1}]\). Energy? That’s mass times velocity squared: \([M][L^2][T^{-2}] = [ML^2T^{-2}]\).
Dimensions are the DNA of physical quantities.
Derived Quantities
Here’s how common quantities build from the fundamental three:
![Visual equation builder showing how Mass [M], Length [L], and Time [T] combine like building blocks: Velocity = L/T → [L][T]^-1, Acceleration = velocity/time → [L][T]^-2, Force = mass × acceleration → [M][L][T]^-2, Energy = force × distance → [M][L]²[T]^-2. Includes sanity check: if your energy calculation has dimensions [M][L][T]^-1, you missed a velocity term.](../../../assets/images/module-01/fundamental-dims-nblm.png)
The Fundamental Alphabet: constructing physics from [M], [L], and [T] (Credit: Course illustration (A. Rosen))
| Quantity | Dimensions | CGS Unit |
|---|---|---|
| Velocity | \([LT^{-1}]\) | cm/s |
| Acceleration | \([LT^{-2}]\) | cm/s² |
| Force | \([MLT^{-2}]\) | dyne (g cm/s²) |
| Energy | \([ML^2T^{-2}]\) | erg (g cm²/s²) |
| Pressure | \([ML^{-1}T^{-2}]\) | dyne/cm² |
What are the dimensions of momentum \(p = mv\)?
(Think first… then check: \([M][LT^{-1}] = [MLT^{-1}]\). Momentum has dimensions of mass times velocity.)
The Smoke Detector Test
Here’s the key insight: both sides of any valid physics equation must have the same dimensions.
If you calculate a star’s mass and get an answer with dimensions of time, the physics is wrong. You don’t need a calculator to know something is broken.
Let’s apply this to the student’s equation:
\[P = \frac{r^2}{GM}\]
The left side should be period: \([P] = [T]\).
What’s on the right side?
- \([r^2] = [L^2]\)
- What about \([GM]\)? We need to figure out \([G]\) first.
What Are the Dimensions of \(G\)?
Newton’s law of gravity tells us:
\[F = \frac{GMm}{r^2}\]
We know \([F] = [MLT^{-2}]\). Solving for \([G]\):
\[[G] = \frac{[F][r^2]}{[M][m]} = \frac{[MLT^{-2}][L^2]}{[M^2]} = [M^{-1}L^3T^{-2}]\]
\[[G] = [M^{-1}L^3T^{-2}]\]
\(G\) has composite dimensions because it converts mass and distance into accelerations and timescales. This is the gravitational constant’s dimensional “fingerprint.”
![Diagram explaining that constants like G and c are not just numbers but conversion factors. Shows c (speed of light) with dimensions [L][T]^-1 as the universal speed limit, and G (gravitational constant) derived from Newton's law with dimensions [M]^-1[L]^3[T]^-2. Highlights the inverse mass term that allows gravity to cancel mass.](../../../assets/images/module-01/physical-constants-nblm.png)
Physical constants encode dimensional information about the universe (Credit: Course illustration (A. Rosen))
Back to the Student’s Error
Now we can check \([GM]\):
\[[GM] = [M^{-1}L^3T^{-2}][M] = [L^3T^{-2}]\]
So the student’s equation gives:
\[\left[\frac{r^2}{GM}\right] = \frac{[L^2]}{[L^3T^{-2}]} = [L^{-1}T^2]\]
That’s “time squared per length”—physically meaningless. The equation is guaranteed wrong.
A student claims that orbital period scales as \(P \propto \sqrt{r^3/GM}\). Check whether this has dimensions of time.
(Think first… then check: \([r^3/GM] = [L^3]/[L^3T^{-2}] = [T^2]\). Taking the square root gives \([T]\). Yes, this has dimensions of time—it could be correct!)
The Dimensional Analysis Protocol

The three-step dimensional analysis protocol for building educated guesses
Here’s the systematic approach:
- Identify the target: What are you trying to find? What dimensions should it have?
- List the ingredients: What quantities could the answer depend on? What are their dimensions?
- Build a combination: Assume the answer is a product of powers: \(\text{target} \propto x^a y^b z^c ...\)
- Match exponents: Set up equations so the dimensions match on both sides
- Solve: Find the exponents \(a, b, c, ...\)
Worked Example: Deriving Kepler’s Third Law
Let’s derive how orbital period \(P\) scales with orbital radius \(r\) and central mass \(M\).
Step 1: Target
We want \([P] = [T]\).
Step 2: Ingredients
| Quantity | Dimensions |
|---|---|
| \(r\) (orbital radius) | \([L]\) |
| \(M\) (central mass) | \([M]\) |
| \(G\) (gravitational constant) | \([M^{-1}L^3T^{-2}]\) |
![Diagram showing planetary orbit with star mass M and orbital radius r. Lists ingredients: Distance r with dimension [L], Star Mass M with dimension [M], Gravity G with dimension [M]^-1[L]^3[T]^-2. Target dimension: Time [T].](../../../assets/images/module-01/case-A-planetary-orbits-dimensional-analysis-1.png)
Case Study A: Deriving orbital period from first principles
Step 3: Assume a power-law form
\[P \propto r^a M^b G^c\]
Step 4: Match dimensions
\[[T] = [L]^a [M]^b [M^{-1}L^3T^{-2}]^c\]
Expand: \[[T] = [L]^{a+3c} [M]^{b-c} [T]^{-2c}\]
Match exponents: - Time: \(1 = -2c \Rightarrow c = -\frac{1}{2}\) - Mass: \(0 = b - c \Rightarrow b = c = -\frac{1}{2}\) - Length: \(0 = a + 3c \Rightarrow a = -3c = \frac{3}{2}\)
![Three-step derivation: Step A (Kill Mass) - multiply G×M to get [L]^3[T]^-2, Step B (Kill Length) - divide by r^3 to get [T]^-2, Step C (Isolate Time) - invert and square root to get P ≈ √(r^3/GM). Result achieved with zero calculus.](../../../assets/images/module-01/case-A-planetary-orbits-dimensional-analysis-2.png)
Recovering Kepler’s Third Law through dimensional analysis
Step 5: Result
\[P \propto r^{3/2} M^{-1/2} G^{-1/2} = \sqrt{\frac{r^3}{GM}}\]
What it predicts: Given \(r\), \(M\), and \(G\), we can determine the orbital period.
What it depends on: Period increases with orbital radius (\(r \uparrow \Rightarrow P \uparrow\)) and decreases with central mass (\(M \uparrow \Rightarrow P \downarrow\)—stronger gravity means faster orbits).
What it says: Farther orbits take much longer (\(P \propto r^{3/2}\)). More mass makes orbits faster.
The exact formula: With the numerical factor that DA can’t determine: \(P = 2\pi\sqrt{r^3/GM}\)

Physical interpretation of the orbital period formula
Dimensional analysis determines scaling relationships but cannot determine pure numbers like \(2\pi\), \(\frac{1}{2}\), or \(4/3\). It tells you how things scale, not the exact numerical prefactor.
This is still enormously powerful—knowing \(P \propto r^{3/2}\) lets you compare any two orbits without knowing \(G\) or doing detailed calculations.
Another Example: Black Hole Event Horizon
What sets the “point of no return” around a black hole?
Target: A length scale \(R\) where gravity wins against light.
Ingredients:
| Quantity | Dimensions |
|---|---|
| \(M\) (black hole mass) | \([M]\) |
| \(G\) (gravity) | \([M^{-1}L^3T^{-2}]\) |
| \(c\) (speed of light) | \([LT^{-1}]\) |
![Diagram with black hole illustration showing curved spacetime. Goal: Find Schwarzschild radius R_sch. Ingredients: Mass M [M], Gravity G [M]^-1[L]^3[T]^-2, Speed of Light c [L][T]^-1. Target dimension: Length [L].](../../../assets/images/module-01/case-B-black-hole-dimensional-analysis-nblm-1.png)
Case Study B: Finding the event horizon radius (Credit: Course illustration (A. Rosen))
Event horizon: The boundary beyond which nothing—not even light—can escape a black hole’s gravitational pull.
Assume \(R \propto G^a M^b c^d\) and match dimensions to \([L]\):
\[[L] = [M^{-1}L^3T^{-2}]^a [M]^b [LT^{-1}]^d\]
Expanding: \[[L] = [L]^{3a+d} [M]^{-a+b} [T]^{-2a-d}\]
Matching: - Time: \(0 = -2a - d \Rightarrow d = -2a\) - Mass: \(0 = -a + b \Rightarrow b = a\) - Length: \(1 = 3a + d = 3a - 2a \Rightarrow a = 1\)
Therefore \(a = 1\), \(b = 1\), \(d = -2\):
\[R \propto \frac{GM}{c^2}\]
![Solution logic: (1) Eliminate Mass: G×M → [L]^3[T]^-2, (2) Eliminate Time: divide by c² → [L], (3) Result: R_sch ≈ GM/c². Image of accretion disk around black hole. Note: General Relativity yields exactly this scaling factor.](../../../assets/images/module-01/case-B-black-hole-dimensional-analysis-nblm-2.png)
Deriving the Schwarzschild radius through dimensional analysis (Credit: Course illustration (A. Rosen))
The exact result (from general relativity) is:
\[R_s = \frac{2GM}{c^2}\]
Dimensional analysis got the scaling exactly right. The factor of 2 comes from solving Einstein’s equations—but we captured the essential physics without any of that machinery.
What it tells us: More mass \(\Rightarrow\) bigger event horizon (linear scaling). If the speed of light were larger, horizons would be smaller (harder to trap light).
Using \(R_s \propto GM/c^2\), predict what happens to the event horizon if you double the black hole’s mass.
(Think first… then check: Since \(R_s \propto M\) linearly, doubling the mass doubles the event horizon radius.)
2.2 Tool 2: The Ratio Method
Escaping the “Big Number” Trap
The mass of the Sun: \(M_\odot = 2 \times 10^{33}\) g The mass of Earth: \(M_\oplus = 6 \times 10^{27}\) g
What can we do with these numbers?
Subtraction fails: \[M_\odot - M_\oplus = 1.999... \times 10^{33} \text{ g}\]
That’s useless—it’s still just a giant number that conveys no intuition.
Division works: \[\frac{M_\odot}{M_\oplus} = \frac{2 \times 10^{33}}{6 \times 10^{27}} = \frac{2}{6} \times 10^{6} \approx 333{,}000\]
The Sun is about 333,000 times more massive than Earth. That tells you something.
Ratios give relative scale. Absolute numbers often don’t.
When you hear “the Sun’s mass is \(2 \times 10^{33}\) grams,” your brain has no intuition for what that means. When you hear “the Sun is 333,000 Earths,” you can start to picture it.
The Cancellation Trick
Most physical laws are proportionality relationships:
\[A = k B^n\]
where \(k\) is some constant (often involving \(\pi\), \(G\), etc.).
When comparing two systems:
\[\frac{A_2}{A_1} = \frac{k B_2^n}{k B_1^n} = \left(\frac{B_2}{B_1}\right)^n\]
The constant \(k\) cancels!
This means you don’t need to know \(G\), \(\pi\), or any other constant numerically. You just need to know the scaling.
The Sun’s radius is 109 times Earth’s radius: \[\frac{R_\odot}{R_\oplus} = 109\]
Volume of a sphere: \(V = \frac{4}{3}\pi R^3\)
How many Earths fit inside the Sun?
\[\frac{V_\odot}{V_\oplus} = \left(\frac{R_\odot}{R_\oplus}\right)^3 = 109^3 \approx 1.3 \times 10^6\]
Over 1 million Earths!
Notice: we never calculated actual volumes in cm³. The \(\frac{4}{3}\pi\) cancelled completely. Ratios are enough.
Scaling Intuition
The power in a scaling law tells you the physical story:
| Scaling | Physical Meaning | Example |
|---|---|---|
| \(A \propto B\) | Linear | Schwarzschild radius vs. mass |
| \(A \propto B^2\) | Area scaling | Surface area, cross-section |
| \(A \propto B^3\) | Volume scaling | Mass (if density constant) |
| \(A \propto B^{-2}\) | Inverse-square | Gravity, light intensity |
| \(A \propto B^{3/2}\) | Kepler scaling | Orbital period vs. radius |
Small changes in input \(\Rightarrow\) big changes in output when \(n > 1\).
If you double a planet’s orbital radius, by what factor does its orbital period increase?
(Think first… then check: Using \(P \propto r^{3/2}\), doubling \(r\) gives \(P_2/P_1 = 2^{3/2} = 2\sqrt{2} \approx 2.8\). The period increases by about a factor of 2.8.)
Applying Ratios: Mars’s Orbital Period
Kepler’s Third Law, in ratio form using Earth as the reference:
\[\left(\frac{P}{1\,\text{yr}}\right)^2 = \left(\frac{a}{1\,\text{AU}}\right)^3\]
Mars orbits at \(a = 1.52\) AU. What’s its period?
Step 1: Substitute: \[\left(\frac{P}{1\,\text{yr}}\right)^2 = (1.52)^3 \approx 3.5\]
Step 2: Solve: \[\frac{P}{1\,\text{yr}} = \sqrt{3.5} \approx 1.87\]
Result: \(P_\text{Mars} \approx 1.9\) years
The actual value is 1.88 years. We got excellent agreement without knowing \(G\) or doing any complicated calculation—just ratios.
Jupiter orbits at 5.2 AU. Estimate its orbital period.
(Think first… then check: \(P^2 = 5.2^3 \approx 141\), so \(P \approx \sqrt{141} \approx 12\) years. Actual value: 11.9 years.)
A planet farther from the Sun experiences two effects:
- Longer path: The circumference of the orbit scales as \(2\pi a \propto a\)
- Slower speed: Weaker gravity at larger distances means the planet moves more slowly
The orbital speed for a circular orbit is \(v = \sqrt{GM/a}\), so \(v \propto a^{-1/2}\).
Period = distance/speed: \[P = \frac{2\pi a}{v} \propto \frac{a}{a^{-1/2}} = a^{3/2}\]
The two effects combine to give \(P \propto a^{3/2}\)—period grows faster than linearly with distance.
2.3 Tool 3: Unit Conversions
Why Astronomers Use CGS
Astronomy uses the CGS system (centimeter-gram-second), not SI (meter-kilogram-second).
| Base Unit | CGS | SI |
|---|---|---|
| Length | cm | m |
| Mass | g | kg |
| Time | s | s |
Derived units:
| Quantity | CGS | SI |
|---|---|---|
| Energy | erg | Joule |
| Force | dyne | Newton |
| Power | erg/s | Watt |
Historical note: CGS became the astronomical standard in the 19th century and stuck. One practical advantage: stellar luminosities and masses come out with “reasonable” exponents. The Sun’s luminosity is \(3.8 \times 10^{33}\) erg/s, which has a nice relationship to the solar mass \(2 \times 10^{33}\) g.
Scientific Notation: The Language of Extremes
Numbers in astronomy span over 40 orders of magnitude. Scientific notation makes them manageable.
\[a \times 10^n\]
| Part | Meaning |
|---|---|
| \(a\) | Coefficient (1–10) |
| \(10^n\) | Power of 10 |
| \(n > 0\) | Big number |
| \(n < 0\) | Small number |
Rules for exponents:
| Operation | Rule | Example |
|---|---|---|
| Multiplication | Add exponents | \(10^3 \times 10^5 = 10^8\) |
| Division | Subtract exponents | \(10^{33}/10^{27} = 10^6\) |
| Powers | Multiply exponents | \((10^3)^2 = 10^6\) |
Simplify: \((3 \times 10^{33}) / (6 \times 10^{27})\)
(Think first… then check: \((3/6) \times 10^{33-27} = 0.5 \times 10^6 = 5 \times 10^5\))
SI Prefixes You’ll Use
| Prefix | Symbol | Power | Astronomy Example |
|---|---|---|---|
| giga | G | \(10^{9}\) | GHz (radio frequencies) |
| mega | M | \(10^{6}\) | Mpc (galaxy distances) |
| kilo | k | \(10^{3}\) | km, kpc |
| centi | c | \(10^{-2}\) | cm (CGS base) |
| milli | m | \(10^{-3}\) | mm |
| micro | μ | \(10^{-6}\) | μm (infrared) |
| nano | n | \(10^{-9}\) | nm (visible light) |
The Conversion Method: Multiplying by 1
The key insight: \(1 \text{ m} = 100 \text{ cm}\) can be written as:
\[\frac{100\text{ cm}}{1\text{ m}} = 1\]
Multiplying by 1 doesn’t change the physics. It only changes how we write the number.
Convert 30 km/s (Earth’s orbital speed) to cm/s.
Step 1: Set up conversion factors \[\frac{10^3\,\text{m}}{1\,\text{km}} = 1 \quad \text{and} \quad \frac{10^2\,\text{cm}}{1\,\text{m}} = 1\]
Step 2: Chain them together \[30\,\frac{\text{km}}{\text{s}} \times \frac{10^3\,\text{m}}{1\,\text{km}} \times \frac{10^2\,\text{cm}}{1\,\text{m}}\]
Step 3: Cancel units \[= 30 \times 10^3 \times 10^2 \,\frac{\text{cm}}{\text{s}} = 30 \times 10^5 \,\text{cm/s}\]
Step 4: Express in standard form \[= 3 \times 10^6 \,\text{cm/s}\]
Convert the Sun’s luminosity from SI to CGS:
\(L_\odot = 3.8 \times 10^{26}\) W = ? erg/s
Key conversions: - 1 W = 1 J/s - 1 J = \(10^7\) erg
Calculation: \[3.8 \times 10^{26}\,\text{W} = 3.8 \times 10^{26}\,\text{J/s} = 3.8 \times 10^{26} \times 10^7\,\text{erg/s}\]
\[= 3.8 \times 10^{33}\,\text{erg/s}\]
When converting areas or volumes, the conversion factor gets squared or cubed.
Example: How many erg in 1 Joule?
\[1\,\text{J} = 1\,\text{kg}\cdot\text{m}^2\cdot\text{s}^{-2}\]
Converting: - 1 kg = \(10^3\) g - 1 m = \(10^2\) cm, so 1 m² = \((10^2)^2 = 10^4\) cm²
\[1\,\text{J} = 10^3\,\text{g} \times 10^4\,\text{cm}^2 \times \text{s}^{-2} = 10^7\,\text{erg}\]
Common mistake: Forgetting to square the 100 when converting m² to cm².
Convert 1 AU (\(1.5 \times 10^{13}\) cm) to kilometers.
(Think first… then check: \(1.5 \times 10^{13}\) cm × \((1\,\text{m}/10^2\,\text{cm})\) × \((1\,\text{km}/10^3\,\text{m})\) = \(1.5 \times 10^{13-2-3}\) km = \(1.5 \times 10^8\) km)
Key Values to Memorize
| Quantity | CGS Value |
|---|---|
| 1 parsec | \(3.09 \times 10^{18}\) cm |
| 1 AU | \(1.50 \times 10^{13}\) cm |
| Solar mass \(M_\odot\) | \(2.0 \times 10^{33}\) g |
| Solar radius \(R_\odot\) | \(7.0 \times 10^{10}\) cm |
| Solar luminosity \(L_\odot\) | \(3.8 \times 10^{33}\) erg/s |
| Speed of light \(c\) | \(3.0 \times 10^{10}\) cm/s |
| Gravitational constant \(G\) | \(6.67 \times 10^{-8}\) cm³ g⁻¹ s⁻² |
2.4 Tool 4: Order-of-Magnitude Estimation
You Already Do This
“Can I drive there before dinner?”
You estimate: - Distance: ~50 miles - Speed: ~50 mph - Time: ~1 hour
No calculator needed. Good enough.
This is order-of-magnitude reasoning—and it’s essential in astronomy.
Why It’s Essential
Astronomical numbers span over 40 orders of magnitude:

Cosmic Scales: A Powers of 10 Logarithmic Journey (Credit: Gemini)
| Scale | Size (cm) | What |
|---|---|---|
| \(10^{-13}\) | Atomic nucleus | Where fusion happens |
| \(10^{-5}\) | Visible light wavelength | What we detect |
| \(10^{10}\) | Solar radius | A typical star |
| \(10^{18}\) | 1 parsec | Distance scale |
| \(10^{28}\) | Observable universe | Cosmic horizon |
Exact precision can hide the physics. If you’re off by a factor of 2, that’s a triumph. If you’re off by \(10^{10}\), something is fundamentally wrong.
The “Rule of 3”
When estimating, use this guideline:
- Coefficient < 3 → round down to 1
- Coefficient > 3 → round up to 10
Examples: - \(2 \times 10^{33}\) → \(10^{33}\) - \(7 \times 10^{10}\) → \(10^{11}\)
The exponent tells the story. Coefficients are refinement.
The Universe’s “Phone Number”
Here’s a mnemonic for cosmic scales:

The Universe’s Phone Number: (555)-711-2555 maps cosmic scales (Credit: Fundamentals of Astrophysics (Owocki))
555-711-2555
- 555 (area code): Three steps down from human scale
- × \(10^{-5}\): human → cells
- × \(10^{-5}\): cells → atoms
- × \(10^{-5}\): atoms → nucleus
- 711 (exchange): Solar system scales
- × \(10^{7}\): human → Earth
- × \(10^{1}\): Earth → Jupiter
- × \(10^{1}\): Jupiter → Sun
- 2555 (subscriber): The cosmos
- × \(10^{2}\): Sun → 1 AU
- × \(10^{5}\): 1 AU → nearest stars (~1 pc)
- × \(10^{5}\): nearest stars → Milky Way
- × \(10^{5}\): Milky Way → observable universe
If your calculation gives a stellar distance = \(10^{11}\) cm…
That’s Sun-sized, not star-distance. Red flag!
Stellar distances should be ~\(10^{18}\) cm (parsecs), not \(10^{11}\) cm (solar radii).
Classic Fermi Problem: Piano Tuners in Chicago
How many piano tuners work in Chicago?
Estimate the pieces: - Population: ~3 million → \(10^6\) - Households: ~1 million → \(10^6\) - Pianos per household: ~1/10 → \(10^{-1}\) - Pianos: \(10^5\) - Tunings per piano per year: ~1 - Tunings per tuner per year: ~500 → \(10^{2.7}\) ≈ \(10^3\)
Combine: \[\frac{10^5 \times 1}{10^3} = 10^2 \approx 100\text{–}300 \text{ tuners}\]
We got a reasonable ballpark without any exact data.
Earlier we said a 1 \(M_\odot\) black hole has \(R_s \approx 3\) km. Let’s verify this with OOM estimation.
\[R_s \approx \frac{GM}{c^2}\]
Using CGS and rounding: - \(G \approx 10^{-7}\) cm³ g⁻¹ s⁻² - \(M_\odot \approx 10^{33}\) g - \(c \approx 10^{10}\) cm/s
\[R_s \approx \frac{10^{-7} \times 10^{33}}{(10^{10})^2} = \frac{10^{26}}{10^{20}} = 10^6\,\text{cm} = 10\,\text{km}\]
Exact answer: 3 km. We’re off by a factor of 3—that’s OOM success!
Estimate the Schwarzschild radius of Sgr A*, the supermassive black hole at the center of the Milky Way, which has mass \(\approx 4 \times 10^6\,M_\odot\).
(Think first… then check: Since \(R_s \propto M\), we scale from the 1 \(M_\odot\) value: \(R_s \approx 3\,\text{km} \times 4 \times 10^6 \approx 10^7\) km. That’s about 17 solar radii, or roughly 0.08 AU—well inside Mercury’s orbit!)
2.5 Connecting the Toolkit
The Problem-Solving Flow
These four tools work together:
- Dimensional Analysis: Is this equation even physically valid?
- Ratio Method: How does this compare to something I know?
- Unit Conversion: What’s the numeric value in CGS?
- OOM Check: Does this answer make sense?
Use all four for robust reasoning.
Example: Complete Workflow
Problem: How long does it take light to cross the Milky Way?
Step 1: Set up (DA check)
Time = distance/speed. Dimensions: \([T] = [L]/[LT^{-1}] = [T]\) ✓
Step 2: Identify values
- Milky Way diameter: ~100,000 light-years = \(10^5\) ly
- Speed of light: 1 ly/year (by definition!)
Step 3: Calculate with ratios
\[t = \frac{10^5\,\text{ly}}{1\,\text{ly/yr}} = 10^5\,\text{yr} = 100{,}000\,\text{years}\]
Step 4: OOM sanity check
Light crosses 1 ly in 1 year. The Milky Way is \(10^5\) ly across. So ~\(10^5\) years makes sense. ✓
Step 5: Convert to other units if needed
\(10^5\) years = \(10^5 \times 3 \times 10^7\) s ≈ \(3 \times 10^{12}\) s
Summary: Your New Superpowers

The dimensional analysis toolbox for ASTR 201 (Credit: Course illustration (A. Rosen))
| Tool | Question It Answers | Key Insight |
|---|---|---|
| Dimensional Analysis | Is this equation physically valid? | Dimensions must match on both sides |
| Ratio Method | How does this compare to something known? | Constants cancel; scaling tells the story |
| Unit Conversions | What’s the numeric value in CGS? | Multiply by 1; cancel units like variables |
| OOM Estimation | Does this answer make sense? | Exponents matter; coefficients are refinement |
The Workflow
- Before calculating: Check dimensions
- When comparing: Use ratios
- When computing: Convert to CGS
- After getting an answer: OOM sanity check
What You Can Now Do
Using just these tools: - Derive how orbital period scales with distance (Kepler’s Third Law) - Estimate black hole sizes from first principles - Compare planetary orbits without knowing \(G\) - Catch physics errors before wasting time calculating
Self-Assessment Checklist
✅ Section 2.1: Dimensional Analysis
✅ Section 2.2: The Ratio Method
✅ Section 2.3: Unit Conversions
✅ Section 2.4: Order-of-Magnitude
All boxes checked? You’re ready for Module 2!
Quick Practice
Use this as a fast check of the full workflow. Keep your reasoning explicit.
Question: Light from the Sun takes 8.3 minutes to reach Earth. How far away is the Sun in AU? (This is essentially the definition of 1 AU, so use it as a sanity check.)
Answer: Distance = speed × time = \(c \times 8.3\) min \(\approx 3 \times 10^{10}\) cm/s × 500 s \(\approx 1.5 \times 10^{13}\) cm, which is 1 AU.
Practice Problems
Conceptual
- Dimensional analysis check (HW1). For each equation, decide whether it is dimensionally valid. If not, identify what is wrong.
- Orbital velocity: \(v = \sqrt{GM/r}\)
- Kinetic energy: \(E = mv\)
- Gravitational potential energy: \(U = GMm/r^2\)
- Pressure: \(P = \rho v^2\) (where \(\rho\) is density)
- Stefan-Boltzmann scaling. The luminosity of a star scales as \(L \propto R^2 T^4\).
- Star A has twice the radius and twice the temperature of Star B. What is \(L_A/L_B\)?
- A red giant has \(100\times\) the Sun’s radius but \(0.5\times\) the Sun’s temperature. What is its luminosity in \(L_\odot\)?
- A white dwarf has \(0.01\times\) the Sun’s radius and \(4\times\) the Sun’s temperature. What is its luminosity in \(L_\odot\)?
- Building physical intuition. Without calculating, predict which way each quantity changes and by roughly what factor:
- Orbital period if you double orbital radius (same central mass)
- Escape velocity if you double a planet’s mass (same radius)
- Luminosity if you double a star’s temperature (same radius)
- Dynamical timescale if you double a cloud’s density
Calculation
- The dimensions of \(G\). Starting from \(F = GMm/r^2\):
- Derive the dimensions of \(G\) in terms of \([L]\), \([M]\), and \([T]\).
- Verify that the CGS unit of \(G\) (cm\(^3\) g\(^{-1}\) s\(^{-2}\)) matches.
- Convert \(G = 6.67 \times 10^{-11}\) m\(^3\) kg\(^{-1}\) s\(^{-2}\) to CGS.
- The dimensions of \(\sigma\) (HW1). For \(L = 4\pi R^2 \sigma T^4\):
- Derive the dimensions of \(\sigma\) in \([M]\), \([L]\), \([T]\), \([\Theta]\).
- Verify the CGS unit (erg s\(^{-1}\) cm\(^{-2}\) K\(^{-4}\)).
- Convert \(\sigma = 5.67 \times 10^{-8}\) W m\(^{-2}\) K\(^{-4}\) to CGS.
- Kepler scaling (HW1). Using \(P^2 \propto a^3\) (years, AU):
- Neptune orbits at 30 AU. Estimate its orbital period.
- An asteroid has \(P = 8\) years. Estimate its semi-major axis.
- A Kuiper Belt object at 40 AU has what orbital period?
- Sanity check: Pluto orbits at ~40 AU with period ~248 years. Does your answer agree?
- Fermi estimation: light-minutes (HW1). Estimate without a calculator:
- How far does light travel in 1 second? In 1 minute?
- The Earth-Sun distance is \(\sim 1.5 \times 10^8\) km. How many light-minutes is this?
- Jupiter is ~5 AU from the Sun. How many light-minutes is this?
Synthesis
- Inverse-square law applications.
- The Sun is ~150 million km from Earth. How much fainter would it appear from Saturn (10 AU away)?
- Two identical stars have apparent brightnesses in ratio 1:81. What is the ratio of their distances?
- A supernova is visible to the naked eye from 10 kpc away. How far away could it be observed with a telescope that collects 10,000x more light?
- Limiting case: As distance \(\to \infty\), what happens to observed flux? What does this imply about detecting objects at arbitrarily large distances?
- Complete workflow: escape velocity. The escape velocity is \(v_{esc} = \sqrt{2GM/R}\).
- Dimensional check: Verify this has dimensions of velocity.
- Ratio method: Earth’s escape velocity is 11.2 km/s. Using ratios, estimate the escape velocity from the Moon (\(M_{Moon} = 0.012 M_{Earth}\), \(R_{Moon} = 0.27 R_{Earth}\)).
- Unit conversion: Convert Earth’s escape velocity to cm/s.
- OOM check: The Sun’s escape velocity is ~618 km/s. Does this make sense given \(M_\odot \approx 3 \times 10^5 M_{Earth}\) and \(R_\odot \approx 109 R_{Earth}\)?
- White dwarf mass-radius relation (HW1 capstone). Derive why more massive white dwarfs are smaller using dimensional analysis and pressure balance. Use the full multi-part problem from HW1 (degeneracy pressure scaling, \(\rho\)-\(n\) relation, and gravitational pressure). Show the final scaling and interpret the physics.
Glossary
CGS: The centimeter-gram-second system of units, standard in astrophysics.
Dimension: The physical nature of a quantity—length, mass, or time (or combinations). Dimensions are invariant under unit changes.
Dimensional analysis: The technique of checking or deriving relationships by matching dimensions on both sides of an equation.
Event horizon: The boundary around a black hole beyond which nothing can escape. Its radius is the Schwarzschild radius.
Fermi estimation: Order-of-magnitude estimation using rough approximations for unknown quantities.
Order of magnitude: A power of 10. Two quantities are “within an order of magnitude” if their ratio is between 0.1 and 10.
Ratio method: Comparing quantities by division rather than subtraction, allowing constants to cancel.
Scaling relationship: A proportionality showing how one quantity depends on another: \(A \propto B^n\).
Schwarzschild radius: The radius of a black hole’s event horizon: \(R_s = 2GM/c^2\).
Scientific notation: Expressing numbers as \(a \times 10^n\) where \(1 \leq a < 10\).