Observing Beyond our Senses: Inquiry Drives Technology Lesson 3 – Inferences from Proxy Variables (Mock AFM)

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Presentation transcript:

Observing Beyond our Senses: Inquiry Drives Technology Lesson 3 – Inferences from Proxy Variables (Mock AFM)

Describe what you smell. What do you suspect this means? ~ ~ ~ ~ ~ ~ ~ This is an observation: Noting some fact or occurrence in the natural world This is an inference: A logical conclusion based on evidence

Given this light and shadow data, make observations then an inference. What’s under here?

Given this light and shadow data, make observations then an inference. What’s under here?

Did You Measure Wind Speed?? What Observations Did You Make? What Inferences Did You Make? What were the benefits / limitations of observing “proxy variable(s)”?

? Record observations about the object in the bag drawn to the best of your abilities. Do not make any inferences as to the type of object, just take data. How can we record observations about things not visible to us? No peeking!

Given more information about the possibilities, can you make a better inference about what the object is? Trade drawings and make an inference about what the object is. How did you make observations?

How could you infer the shape of the sidewalk ahead without visual observations?

I can infer that there is a curb in front of me! Using my cane to probe the ground…

How can these surfaces support inferences from non-visual observations?

In science, we often need to see things very small. But microscopes and magnifiers only help so much… …so we need to find other characteristics that allow us to “see” things and make inferences.

So how can I infer how the atoms arranged? What about smaller scale probing? (like the carbon in my pencil) These atoms of carbon are way too small for any microscope to help me see,

Use a smaller “cane” to probe the “streets and sidewalks” of the atomic scale…

Atoms repel each other… …so a fine tip will push back when you press it against others atoms.

computer processing Using the AFM to deduce structure deduced structure AFM image inference Hexagonal arrangement of carbon atoms! Graphite

Look at gold’s surface Low resolution scan of gold surface, showing atomic steps. Scan size: 500 nm (0.5  m) High resolution scan of gold surface hexagonal atomic structure. Scan size: 5 nm High resolution scan of gold surface with strips (inset). Scan size: (inset) 20 nm Each “step” is a layer of gold atoms

Building an AFM 2)Move stick along holes and record height (z) with location (x,y) x y z DATA Inference! 3)Infer 3D shape of sample by graphing data 1)Sample in dark box with small holes on top for a test “stick” graph

What could this data imply about structure?

What could be done to improve the design of our mock AFM? resolution Fine v. coarse structure

(some possible structures after graphing on Excel) What could these be?