Transit Depth Calculator

Model precise light-curve dips for planet transits here. Switch units, solve forward or inverse fast. Export results to share, compare, and verify your data.

Calculator

Choose a mode, enter radii or ratio, and optionally refine with geometry, limb darkening, and dilution.

Typical hot Jupiter: ~0.1. Earth-Sun: ~0.0092.
Used for radius-only modes and inverse solutions.
In inverse radius mode, this sets the output unit.
If you enter depth from data, keep the same units.
b = 0 is central transit; b near 1 is grazing.
Set u1=u2=0 to disable limb darkening.
Use coefficients matching your bandpass.
D = contaminant flux ÷ target flux.

Example Data

These examples assume b=0, u1=u2=0, and no dilution.

Scenario Star radius Planet radius Depth (%) Depth (ppm)
Earth transiting Sun 1.000 R☉ 1.000 R⊕ 0.008386 83.86
Neptune transiting Sun 1.000 R☉ 3.865 R⊕ 0.125257 1,252.57
Jupiter transiting Sun 1.000 R☉ 1.000 Rj 1.009827 10,098.27
Hot Jupiter, 0.8 R☉ star 0.800 R☉ 1.000 Rj 1.577855 15,778.55

Formula Used

The geometric transit depth for a small planet is: δ = (Rp / Rs)², where Rp is planet radius and Rs is star radius.

With quadratic limb darkening, intensity is evaluated at mid-transit: I(μ) = 1 − u1(1−μ) − u2(1−μ)², with μ = √(1−b²).

Average disk intensity for this law is: Ī = 1 − u1/3 − u2/6. The limb-darkened depth is: δLD = δ × I(μ)/Ī.

If extra light dilutes the signal, observed depth becomes: δobs = δLD / (1 + D), where D is contaminant-to-target flux ratio.

How to Use This Calculator

  1. Select the calculation mode you need.
  2. For depth mode, enter radii or the ratio.
  3. For inverse modes, enter observed transit depth.
  4. Add impact parameter, limb darkening, and dilution.
  5. Press Calculate to show results above the form.
  6. Use the buttons to export CSV or print PDF.

Transit Depth Guide

1) What transit depth measures

Transit depth is the fractional loss of starlight during a planet crossing. In the simplest case, depth equals the blocked area ratio. A depth of 1% means the flux drops by 0.01 of baseline. Observers also report depth in parts per million (ppm). For example, 1% equals 10,000 ppm and 10 ppt.

2) Geometric depth from radii

The geometric estimate is δ = (Rp/Rs)². If Rp/Rs = 0.10, then δ = 0.01, or 1%. An Earth-sized planet around a Sun-sized star gives Rp/Rs ≈ 0.0092. That produces δ ≈ 8.4×10−5, or about 84 ppm. These values set the scale for detection difficulty.

3) Impact parameter and mid-transit chord

The impact parameter b describes how centrally the planet crosses. b = 0 is a central transit, while b near 1 is grazing. Higher b moves the transit chord toward the stellar limb. Since limb regions are dimmer, the same planet can yield a different depth. This calculator uses μ = √(1−b²) to evaluate limb effects.

4) Quadratic limb darkening in practice

Quadratic limb darkening uses coefficients u1 and u2. The local intensity follows I(μ) = 1 − u1(1−μ) − u2(1−μ)². Disk-averaged intensity is Ī = 1 − u1/3 − u2/6. At mid-transit, depth scales by I(μ)/Ī. Typical optical coefficients often fall between 0 and 0.6.

5) Dilution from blended light

Nearby stars or background light dilute the measured dip. If contaminant-to-target flux ratio is D, observed depth is δobs = δLD/(1+D). With D = 0.20, a true 1% limb-darkened dip appears as 0.833%. In ppm, 10,000 ppm becomes about 8,333 ppm. Always check aperture contamination for precise radii.

6) Inverse solutions for planet size

When you measure depth, you can solve for Rp/Rs as √δ after corrections. Combine that ratio with an independent stellar radius. If Rs = 1 R☉ and corrected δ = 1%, then Rp ≈ 0.10 R☉. That is about 1.0 Rj, close to Jupiter’s size.

7) Photometric noise and sampling

Depth must be compared to noise per cadence. If per-point scatter is 300 ppm, an 84 ppm Earth-like dip is subtle. Binning improves precision roughly with √N, when noise is uncorrelated. Systematics, stellar variability, and instrument drift can dominate. Use consistent detrending before interpreting small depths.

8) Interpreting depth alongside other observables

Depth mainly constrains Rp/Rs, not mass or composition. Combine depth with radial velocity mass for density. Add transit duration and impact parameter to constrain inclination. Multi-band depths can hint at atmospheric scattering or spots. Report your coefficients, bandpass, and dilution assumptions for clarity.

FAQs

1) What is a typical exoplanet transit depth?

Hot Jupiters often produce ~0.5% to 2% dips (5,000–20,000 ppm). Neptune-size planets can be a few hundred to a few thousand ppm. Earth-size planets around Sun-like stars are roughly ~80–100 ppm.

2) Why does impact parameter change the depth?

Limb regions are dimmer than the stellar center. A higher impact parameter samples lower intensity. With limb darkening enabled, the same area block can yield a different mid-transit depth. Setting u1=u2=0 removes this effect.

3) What dilution value should I enter?

Use D = contaminant flux divided by target flux in your aperture. If a nearby star contributes 10% of the target flux, enter D = 0.10. If you have no blending estimate, start with D = 0 and compare later.

4) Why is the “observed depth” smaller than geometric depth?

Dilution reduces depth because extra light raises the baseline. If D is positive, δobs = δLD/(1+D) must be smaller. Limb darkening can also shift δLD relative to δ, depending on b and coefficients.

5) Can I use this for grazing transits?

It supports b up to 1, which approximates grazing geometry. However, very grazing cases can violate the small-planet mid-transit assumption. Treat results as an estimate and use a full light-curve model for high precision.

6) Which limb-darkening coefficients should I choose?

Coefficients depend on stellar temperature, gravity, metallicity, and bandpass. Use values from your light-curve pipeline, stellar models, or literature tables. If uncertain, explore a plausible range and see how Rp/Rs changes.

7) What units should I use for depth?

Use ppm for small dips and percent for large dips. Remember 1% = 10,000 ppm and 1 ppt = 1,000 ppm. The calculator converts and reports fraction, percent, and ppm together.

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