How many questions are in this quiz?

This quiz has 126 questions covering how space telescopes detect exoplanets.

No—there’s no timer. Each question has 4 options so you can think through the evidence.

What difficulty is the quiz?

It’s mixed difficulty, combining fundamentals with more detailed interpretation and pitfalls.

Can I choose the number of questions and difficulty?

Yes. Before you start, you can select your preferred question count and difficulty level.

What topics are included besides transits?

You’ll also see radial velocity, direct imaging, microlensing, astrometry, and common false-positive scenarios.

Exoplanet Detection by Space Telescopes

About this quiz

What you’ll learn in this quiz

Space telescopes don’t usually “see” exoplanets directly—they detect their effects on starlight. You’ll practice recognizing which method fits a scenario (transit, radial velocity, direct imaging, microlensing, astrometry) and what each method can and can’t measure.

Every question uses 4 options and there’s no timer, so you can focus on the reasoning behind the signal rather than speed.

Difficulty and quiz settings

Difficulty is mixed by design: easier items check core definitions (like what a light curve shows), while harder ones blend concepts such as noise sources, false positives, and instrument limits. You can also choose your question count and difficulty before starting to tailor the session to quick practice or deeper review.

- Match detection methods to the data product (light curve, spectrum shift, image contrast) - Identify what can be inferred: radius, mass (or minimum mass), orbit period, and atmosphere hints - Spot common false positives (eclipsing binaries, starspots, systematics) - Compare why some methods favor certain planet sizes and orbital distances - Interpret terms like SNR, transit depth, impact parameter, and cadence n## Common pitfalls to avoid

Many mistakes come from mixing up what each technique measures directly versus what’s derived with extra assumptions. Another frequent trap is ignoring selection bias—space missions tend to find what their sensitivity and observing strategy make easiest to detect.

Tips for better scores

When stuck, ask: “What observable changed—brightness, position, spectrum, or image?” Then pick the method that naturally produces that observable, and eliminate options that would require ground-based follow-up or a different type of instrument.