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Computer Labs
Lab sheets:
Additional Notes on Least Square Fitting:
- Data file for the inverse square law
Light source (LED) Light detector
/
o -- D
\
<----------- x ----------->
* DATA
file isl_data.txt
first column (x): Distance in meter
second column (I): Light intensity in %
* FIT
General model:
f(x) = a/x^n
Coefficients (with 95% confidence bounds):
a = 38.27 (38.12, 38.42)
n = 1.952 (1.931, 1.972)
Goodness of fit:
S: 18.14
r2: 0.9969
gnuplot> plot "isl_data.txt", 38.27/x**1.952
- Notes on the Hanging Chain
y(x) = A cosh(x/A) -A
Data:
x = {-1.0000, -0.8000, -0.6000, -0.4000, -0.2000, 0.0000, 0.2000, 0.4000, 0.6000, 0.8000, 1.0000};
y = { 0.5000, 0.3300, 0.1900, 0.0800, 0.0200, 0.0000, 0.0200, 0.0900, 0.1700, 0.3000, 0.5000};
gnuplot> plot [-1:1] 1/0.8*cosh(0.8*x)-1/0.8, 0.42*x**2
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