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INTRO TO EXPERIMENTAL PHYS-LAB 1494/2699 Introduction to Experiment: Part 3 Nate Saffold [email protected] Office Hour: Monday, 5:30PM-6:30PM @ Pupin 1216

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  • INTRO TO EXPERIMENTAL PHYS-LAB 1494/2699

    Introduction to Experiment: 
Part 3 



    Nate Saffold 
[email protected]

    
Office Hour: Monday, 5:30PM-6:30PM @ Pupin 1216

  • PHYS 1493/1494/2699: Introduction to Experiment – Part 32

    Announcements

    1. The lab sessions will start next week (February 6th). NOTE: The experiment will not follow the same order as in the lab manual. Refer to the preceptors’ website for the full calendar

    2. 2nd quiz next week!

    3. Download Mathematica/Excel, I will send a tutorial on how to download soon.

  • 3

    Review: Error Propagation● Here are the rules for propagating error this semester!

    − Addition/Subtraction:

    − Multiplication by Constant (B is known exactly):

    − Multiplication/Division:

    − Exponents:

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 4

    Review: Error Propagation● This is the general rule for error propagation, it will not lead you

    astray! (But you will have to take some partial derivatives)

    − Formula if f(x), i.e. f is only function of one variable

    − Formula For Error Propagation for f(x,y,z):

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 5

    Step-by-step Error Propagation

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 6

    Step-by-step Error Propagation● Using the rules of error propagation can determine the error of any

    function. Sometimes this may be easier than taking partial derivatives

    ● Any calculation can be broken down into a sequence of steps, each involving the following types of operation: ● Sums and Differences ● Products and Quotients ● Functions of one variable, i.e. sin(x), xn, ex, or ln(x)

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 7

    Example

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

    ● If the quantities x, y, z and u are measured, each with uncertainty, how would you compute the error in q?

  • 8

    Example

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

    ● Find error in sin(u) ● Find uncertainty in product z*sinu ● Find uncertainty in difference y - z*sinu ● Find uncertainty in product x(y - z*sinu)

  • 9

    Example

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

    ● Find error in sin(u)

    ● Find uncertainty in product z*sinu

    ● Find uncertainty in difference y - z*sinu

    ● Find uncertainty in product x(y - z*sinu)

  • 10

    Intermission● We want to determine the uncertainty in the mean of a sample:

    ● Each data point xi is drawn from a distribution with a standard deviation (i.e. uncertainty) equal to

    ● What is the uncertainty in the mean?

    ● But this means:

    ● This should look familiar!

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 11

    Defining Uncertainty Values● Typically, we define the uncertainty as half the precision of the

    measurement scale we are using

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 12

    Defining Uncertainty Values● Typically, we define the uncertainty as half the precision of the

    measurement scale we are using ● In the following scenario, what is the uncertainty in the length of

    the pencil?

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 13

    Defining Uncertainty Values● Typically, we define the uncertainty as half the precision of the

    measurement scale we are using ● In the following scenario, what is the uncertainty in the length of

    the pencil?

    ● Since the ruler has millimeter precision, the uncertainty in our measurement is .5mm.

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3

  • 14

    Questions?

    PHYS 1493/1494/2699: Introduction to Experiment – Part 3