Exoplanet Discovery Calculator

Model exoplanet detection probability and transit signal strength for astronomical observations.

Calculate the likelihood of detecting exoplanets using transit photometry and radial velocity methods, including signal strength and orbital parameters.

Examples

Click on any example to load it into the calculator.

Earth-like Planet

earth-like

A terrestrial planet similar to Earth orbiting a Sun-like star.

Stellar Mass: 1.0 M☉

Stellar Radius: 1.0 R☉

Planet Radius: 1.0 R⊕

Orbital Period: 365.25 days

Semi-Major Axis: 1.0 AU

Inclination: 90 °

RV Amplitude: 0.089 m/s

Hot Jupiter

hot-jupiter

A gas giant planet in a close orbit around its host star.

Stellar Mass: 1.1 M☉

Stellar Radius: 1.2 R☉

Planet Radius: 11.2 R⊕

Orbital Period: 3.5 days

Semi-Major Axis: 0.045 AU

Inclination: 85 °

RV Amplitude: 200 m/s

Super Earth

super-earth

A rocky planet larger than Earth but smaller than Neptune.

Stellar Mass: 0.8 M☉

Stellar Radius: 0.7 R☉

Planet Radius: 2.5 R⊕

Orbital Period: 50 days

Semi-Major Axis: 0.25 AU

Inclination: 88 °

RV Amplitude: 2.5 m/s

Mini Neptune

mini-neptune

A small gas planet with a thick atmosphere and rocky core.

Stellar Mass: 0.9 M☉

Stellar Radius: 0.85 R☉

Planet Radius: 4.0 R⊕

Orbital Period: 15 days

Semi-Major Axis: 0.12 AU

Inclination: 87 °

RV Amplitude: 8.0 m/s

Other Titles
Understanding the Exoplanet Discovery Calculator: A Comprehensive Guide
Explore the fascinating world of exoplanet detection and learn how astronomers discover planets orbiting distant stars. This guide covers the physics, methods, and challenges of finding worlds beyond our solar system.

What is the Exoplanet Discovery Calculator?

  • Core Concepts
  • Detection Methods
  • Why It Matters
The Exoplanet Discovery Calculator is a sophisticated tool designed to model and predict the detectability of planets orbiting distant stars. It combines principles from astrophysics, orbital mechanics, and observational astronomy to estimate the probability of discovering exoplanets using different detection methods. This calculator helps astronomers plan observations, optimize telescope time, and understand the limitations of current detection techniques.
The Challenge of Exoplanet Detection
Exoplanets are incredibly difficult to detect directly because they are extremely faint compared to their host stars. A typical star is billions of times brighter than any orbiting planet, making direct imaging nearly impossible except in special cases. Instead, astronomers rely on indirect methods that detect the effects of planets on their host stars or the light from their stars.
Transit Photometry: The Most Productive Method
Transit photometry measures the tiny dip in a star's brightness when a planet passes in front of it. This method has been responsible for discovering thousands of exoplanets, including those found by NASA's Kepler and TESS missions. The depth of the transit depends on the relative sizes of the star and planet, while the frequency depends on the orbital period.
Radial Velocity: Measuring Stellar Wobble
The radial velocity method detects the tiny back-and-forth motion of a star caused by the gravitational pull of an orbiting planet. As the planet orbits, it causes the star to move slightly toward and away from Earth, creating a Doppler shift in the star's spectrum. This method is particularly sensitive to massive planets in close orbits.

Key Detection Metrics:

  • Transit Depth: The percentage drop in stellar brightness during transit
  • Transit Probability: The likelihood that a planet's orbit is aligned to produce transits
  • Detection Probability: The chance of successfully detecting the planet with current technology
  • Radial Velocity Amplitude: The maximum stellar velocity variation induced by the planet

Step-by-Step Guide to Using the Calculator

  • Input Parameters
  • Understanding Results
  • Interpreting Probabilities
Using the Exoplanet Discovery Calculator requires understanding both the physical parameters of the star-planet system and the observational constraints of current detection methods.
1. Stellar Parameters
Begin with the host star's mass and radius. These fundamental properties determine the star's luminosity, surface gravity, and evolutionary state. Stellar mass affects orbital dynamics and the amplitude of radial velocity variations, while stellar radius is crucial for calculating transit depth and probability.
2. Planetary Parameters
Enter the planet's radius, which directly determines transit depth. Larger planets create deeper transits and are easier to detect. The orbital period and semi-major axis define the planet's orbit and affect both transit frequency and detection probability.
3. Orbital Geometry
The orbital inclination is critical for transit detection. Only planets with orbits nearly edge-on (close to 90°) will produce transits visible from Earth. The calculator uses this to determine transit probability.
4. Analyzing Results
The results provide a comprehensive view of detectability. Transit depth shows the signal strength, while transit probability indicates how likely the planet is to transit. Detection probability combines all factors to estimate the overall chance of discovery.

Detection Thresholds:

  • Kepler Mission: Could detect transits as shallow as 0.01%
  • TESS Mission: Sensitive to transits down to 0.1% for bright stars
  • Ground-based surveys: Typically limited to transits deeper than 0.5%
  • Radial velocity surveys: Can detect planets with RV amplitudes above 1 m/s

Real-World Applications and Mission Planning

  • Space Missions
  • Ground-based Surveys
  • Follow-up Observations
The Exoplanet Discovery Calculator has practical applications in mission planning, survey design, and observational strategy.
Planning Space Missions
Space missions like Kepler, TESS, and the upcoming PLATO mission use similar calculations to optimize their target selection and observation strategies. The calculator helps determine which stars are most likely to host detectable planets and how long to observe each target.
Ground-based Follow-up
After space missions identify candidate planets, ground-based telescopes perform follow-up observations to confirm discoveries and measure additional properties. The calculator helps prioritize which candidates to observe based on their expected signal strength.
Survey Optimization
Large ground-based surveys like WASP, HATNet, and NGTS use detection probability calculations to optimize their target selection and observation cadence. This maximizes the scientific return from limited telescope time.

Common Misconceptions and Detection Challenges

  • Detection Biases
  • False Positives
  • Completeness
Exoplanet detection is subject to various biases and challenges that can lead to misconceptions about the true population of planets.
Detection Biases
Current detection methods are biased toward certain types of planets. Transit surveys favor large planets in short-period orbits, while radial velocity surveys are most sensitive to massive planets. This creates a selection effect that doesn't reflect the true distribution of exoplanets.
False Positives
Not all transit-like signals are caused by planets. Eclipsing binary stars, stellar spots, and instrumental effects can mimic planetary transits. Careful follow-up observations are required to confirm planetary nature.
Completeness and Statistics
Understanding detection completeness is crucial for statistical studies of exoplanet populations. The calculator helps estimate what fraction of planets in a given parameter space would be detectable, allowing for correction of detection biases.

Detection Challenges:

  • Small planets around large stars have very shallow transits
  • Long-period planets require extended mission durations
  • Stellar activity can mask or mimic planetary signals
  • Atmospheric effects limit ground-based detection sensitivity

Mathematical Derivation and Examples

  • Transit Equations
  • Radial Velocity Formulae
  • Probability Calculations
The calculator uses well-established equations from astrophysics and orbital mechanics to model exoplanet detection.
Transit Depth Calculation
The transit depth δ is given by δ = (Rp/Rs)², where Rp is the planet radius and Rs is the stellar radius. This simple equation shows why large planets around small stars produce the deepest transits.
Transit Probability
The probability of a planet transiting is Ptransit = Rs/a, where a is the semi-major axis. This explains why planets in close orbits are more likely to transit than those in distant orbits.
Radial Velocity Amplitude
The radial velocity amplitude K is given by K = (2πG/P)^(1/3) × (Mp sin i)/(Ms^(2/3)), where G is the gravitational constant, P is the orbital period, Mp is planet mass, Ms is stellar mass, and i is orbital inclination.
Detection Probability
The overall detection probability combines transit probability, signal strength, and observational constraints. It accounts for the fact that not all transiting planets will be detected due to noise, stellar variability, and other factors.

Example Calculations:

  • Earth transiting the Sun: depth = 0.008%, probability = 0.47%
  • Jupiter transiting the Sun: depth = 1.0%, probability = 0.47%
  • Hot Jupiter around Sun-like star: depth = 1.2%, probability = 10%
  • Super Earth around M dwarf: depth = 0.5%, probability = 2.5%