FGURE1FGURE2FGURE3FGURE 4

FGURE 1 Original data graph

FGURE 2 gaussian fitting graph [=14, Amplitude=3000000, =0.005, Constant=10 ]

FGURE 3 gaussian fitting graph [=13.906, Amplitude=27650, =0.007, Constant=10 ]

FGURE 4 FGURE 2 Vs FGURE 3

gauss fit equation used;

The 1st graph is the original data graph, and the 2nd graph and 3rd graph are graphs with gaussian fit applied according to these data. To create the second graph, the fit values are given in the question. The fit values of the 3rd graph were chosen from the original graph as it should be. The 4th graph is the 2nd and 3rd graphs drawn in the same place. (Maybe it will be useful for comparison.)

a-) Explain what happens in the 2nd graph. and explain why? (what's wrong, what's right, why shouldn't it be, etc.)

b-) Compare the 2nd and 3rd graphs ?

These are the outputs of the written code and it is necessary to comment on them, so please do not write code, just write the correct answers of a and b with this data.

30000 25000 20000 15000 10000 5000 13.8 13.85 13.9 13.95 14 14.05 300000 250000 200000 150000 100000 50000 13.8 13.85 13.9 13.95 14 14.05 30000 25000 20000 == 15000 EE 10000 5000 0 -5000 13.8 1 14 13.85 13.9 13.95 14.05 300000 250000 200000 150000 100000 50000 0 -50000 13.8 13.85 13.9 13.95 14 14.05 x) = g(x) = Ae (x-u)2 4 202 ,2 +C = 293 x 94