Curve fitting is the process of constructing a curve or mathematical function, that has the best fit to a series of data points. Fitted curves can be used as an aid for data visualization, to conclude values of a function where no data are available, and to summarize the relationships among two or more variables.
Equation for Gaussian Curve is, $$ Y = A.{ e }^{ -\left( \frac { { \left( x-B \right) }^{ 2 } }{ 2{ C }^{ 2 } } \right) } $$ Where \(A\) is Height,
\(B\) is Position and
\(C\) is FWHM.
Equation for Gaussian Curve is, $$ Y = A.{ e }^{ -\left( \frac { { \left( x-B \right) }^{ 2 } }{ 2{ C }^{ 2 } } \right) } $$ Where \(A\) is Height,
\(B\) is Position and
\(C\) is FWHM.
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