Gaussian Function 
* Gaussian function is given by f (x) = a exp [  (xb)^{2}/ 2c^{2} ] where a, b, c are arbitrary real constants.^{∞}∫_{∞} f(x) dx = ac√(2Π) which is on the basis of 
* If a=1/c√(2Π) , then f(x) = 1 and the Gaussian function is called Normal Probability Density Function where b is the mean and c is the standard deviation. 
* The Log of a gaussian function is a concave quadratic function. 
* Product of 2 gaussian functions is also a gaussian function and the convolution of a gaussian function is also a gaussian function. 
* Gaussian function is an eigenfunction of the continuous Fourier Transform. 
* Gaussian functions centered at zero minimize the Fourier uncertainty principle. 

* Full Width at half maximum of the peak is given by 
Referencelognormal distribution,online utilities, Gabor patch generator, open access journals,Nature reports, 