functions in gauss.i -

             asgauss(x,a)  
 
     
    Returns an assymetrical gaussian:  
     I0*exp(-((x-x0)/dx)^2) [+a(5) [+a(6)*x]]  
    Where:  
    I0=a(1)  
    x0=a(2)  
    dx=a(3) for x=x0  
   Works with lmfit, and can return derivates.  

             asgauss_fit(y,x,w,guess=,nterms=)  
 
    Fits an  assymetrical gaussian  (see asgauss) profile  on a data  set using  
    lmfit  (see  lmfit). The  set  of  data points  Y  is  the only  mandatory  
    argument, X  defaults to indgen(numberof(y)), weights W  are optional (see  
    lmfit). ASGAUSS_FIT tries  to guess a set of  initial parameters, but you  
    can (and  should in  every non-trivial case)  provide one using  the GUESS  
    keyword. In  case you don't  provide a guess,  you should set NTERMS  to 6  
    (simple assymmetrical  gaussian), 7 (adjust constant baseline)  or 8 (adjust  
    linear baseline). The  returned fitted parameters have the  same format as  
    GUESS, see asgauss.  

             gauss(x,a)  
 
     
    Returns a gaussian:  
     I0*exp(-0.5*((x-x0)/dx)^2) [+a(4) [+a(5)*x]]  
    Where:  
    I0=a(1)  
    x0=a(2)  
    dx=a(3) (gaussian sigma)  
   Works with lmfit, and can return derivates.  
   Notes: FHWM=sigma*2*sqrt(2*alog(2)); sum(gauss)=I0*sigma*sqrt(2*pi)  
     

             gauss_fit(y,x,w,guess=,nterms=)  
 
    Fits a gaussian (see gauss) profile on a data set using lmfit (see lmfit).  
    The set  of data points  Y is the  only mandatory argument, X  defaults to  
    indgen(numberof(y)), weights  W are optional (see  lmfit). GAUSS_FIT tries  
    to guess  a set of  initial parameters, but  you can (and should  in every  
    non-trivial case) provide one using  the GUESS keyword.  In case you don't  
    provide a guess,  you should set NTERMS to 3  (simple gaussian), 4 (adjust  
    constant  baseline) or 5  (adjust linear  baseline).  The  returned fitted  
    parameters have the same format as GUESS, see gauss.