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PHAS1240: Procedures, Notebooks, Formal Reports and Data Analysis

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Dr. Neal Skipper (n.skipper_at_ucl.ac.uk) Dr. Christine Bull ... Laboratory Notebooks. Formal Reports ... Keep a record in your notebook as you go along. ... – PowerPoint PPT presentation

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Title: PHAS1240: Procedures, Notebooks, Formal Reports and Data Analysis


1
PHAS1240 Procedures, Notebooks, Formal Reports
and Data Analysis
  • Dr. Neal Skipper (n.skipper_at_ucl.ac.uk)
  • Dr. Christine Bull (christine.bull_at_ucl.ac.uk)

2
PHAS1240 Lectures on 23rd and 30th October 2006
  • Some General Comments on Procedures
  • Laboratory Notebooks
  • Formal Reports
  • Data Analysis an example (please bring
    stopwatch and calculator next week)

3
Data Analysis see Appendix III of Student
Handbook
  • Some General Principles
  • Experimental Procedures
  • Minimising Experimental Uncertainties
  • Summary of Uncertainties
  • An example Cp/Cv for an Ideal Gas
  • Bouncing Ball Experiment

4
Some General Principles Experimental Procedures
  • Be sensible Safety is everyones
    responsibility.
  • Keep a record in your notebook as you go along.
  • Read any instructions try to plan what you are
    going to do.
  • Understand and Record What it is You Want to
    Measure and Why.
  • Do a Preliminary Measurement if Necessary.

5
Cp/Cv The MovieShow Video Clip Here !!
6
Some General PrinciplesMinimising Experimental
Uncertainties
  • Avoid mistakes
  • Estimate the quantity you are going to measure
  • Be careful with units
  • Identify any possible systematic errors
  • Identify the quantities that contribute most to
    the final error try to reduce them by
  • Making more measurements
  • Plotting a graph
  • Using a different (very cunning) method

7
Some General PrinciplesSummary of Uncertainties
  • Errors
  • Random errors (uncertainties) are variable and
    mainly affect precision
  • Systematic errors are usually constant and mainly
    affect accuracy.
  • Quote errors to same number of figures as the
    quantity itself, for example
  • g 9.55?0.05 ms-2
  • An estimate of the final error to around 1 part
    in 5 is usually fine

8
Some General PrinciplesMinimising Experimental
Uncertainties
  • You can ignore all errors whose contribution to
    the total final error is less than about a fifth
    of the largest contribution.

9
Some General PrinciplesSummary of Uncertainties
  • Sets of Measurements
  • Mean value of the sample
  • ith residual
  • Standard deviation of the sample
  • Gaussian or normal distribution
  • Standard error (deviation) on the mean of the
    distribution

10
Some General PrinciplesSummary of Uncertainties
  • Combining Uncertainties

11
An ExampleMeasuring Cp/Cv for an Ideal Gas
  • Cp and Cv are the molar heat capacities at
    constant pressure and constant volume
    respectively.
  • CP is bigger than Cv, because at constant
    pressure the gas can do work (expanding).

12
An Example Cp/Cv for an Ideal Gas
  • The ratio of specific heats, Cp/Cv is usually
    called ?.
  • ? is an important characteristic of a gas since
    it reflects on a macroscopic scale the
    microscopic properties of the molecules.

13
How do we measure CP/CV Oscillating Ball Method
14
How do we measure CP/CV Oscillating Ball Method
  • To a first approximation the restoring force is
    then proportional to the displacement, x.
  • This is the condition for simple harmonic motion,
    where ? frequency of the oscillation

15
How do we measure CP/CV Oscillating Ball Method
  • A 197.9 ? 0.5 mm2 1.97910-4m2 ? 0.3
  • M 16.432 ? 0.002 g 0.016432 kg ? 0.01
  • V 1252 ? 5 cm3 1.252 10-3m3 ? 0.4
  • P 101101 ? 5 Pa 101101 Pa ? 0.05
  • ? ?? ? ??

16
How do we measure CP/CV Combining errors
17
Cp/Cv The MovieShow Video Clip Here !!
18
Application to CP/CVMeasuring ? and ?
  • I think there are two main difficulties
  • Reaction time to start stopwatch
  • Keeping count
  • To minimise these we can
  • Plot a graph of time taken against number of
    oscillations. The gradient will give ? and the
    intercept the reaction time.
  • Make a number of observations. We can then detect
    rogues (! Be careful here !) and also reduce
    standard error

19
My working in Excel
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