TED: How to take a picture of a black hole | Katie Bouman

TED: How to take a picture of a black hole | Katie Bouman

Assessment

Interactive Video

Physics, Science

11th Grade - University

Hard

Created by

Wayground Content

FREE Resource

The video explores the concept of black holes and the challenges in capturing their images. It discusses Einstein's theory of general relativity and the Event Horizon Telescope's role in creating a computational telescope to image black holes. The video highlights the development of imaging algorithms to reconstruct black hole images and the importance of interdisciplinary collaboration in achieving scientific breakthroughs.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary reason black holes have not been directly observed yet?

They are not predicted by any scientific theory.

They emit too much light.

They are too far away from Earth.

Their gravitational pull is too weak.

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What conclusion did astronomers reach by observing stars orbiting an invisible object at the center of the Milky Way?

The stars are orbiting a neutron star.

The stars are orbiting a supermassive black hole.

The stars are orbiting a massive planet.

The stars are orbiting a cluster of dark matter.

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it difficult to take a picture of a black hole from Earth?

The black hole is surrounded by too much dust.

The black hole appears very small from Earth.

The black hole is too bright.

The black hole is moving too fast.

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the Event Horizon Telescope's approach to imaging a black hole?

Relying solely on computer simulations.

Combining data from multiple telescopes around the world.

Using a single large telescope in space.

Using only optical telescopes.

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the role of algorithms in the Event Horizon Telescope project?

To build new telescopes.

To simulate the gravitational pull of black holes.

To predict the location of black holes.

To reconstruct images from limited data.

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How do imaging algorithms help in reconstructing black hole images?

By ignoring any noise in the data.

By using complete data from all telescopes.

By focusing only on visible light.

By filling in missing data gaps.

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Why is it important to avoid bias in black hole image reconstruction?

To make the images more artistic.

To confirm existing theories without question.

To ensure the images are colorful.

To allow for unexpected discoveries.

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