I would like to use genfit to fit a function with more than 9 parameters, and its not clear to me how to do that.
The web description page for genfit says:
• vx, vy are vectors of real data values of the same length, corresponding to the x and y values in the data set. There must be at least as many data points as parameters.
• vg is an n element vector of guess values for the parameters. If n = 1, then vg is a scalar.
F(x, u) is a fitting function, or a vector of functions, where x is the independent variable and u is either a vector of parameters or individual parameter names. The following equation is both a valid representation for a fitting function:
• n is a positive integer. In the case of non-vectorized parameters, there is a limit of nine individual names.
For 9 or fewer parameters, just including the parameters in the fitting function definition as F(x, u1,u2,u3,...):= works fine. But assigning the parameter names to a vector when there are more than 9 and using that vector name in the fitting function definition as F(x, params) where params is a vector of u1,u2,u3,... does not work.
Does anyone have an expample of setting up genfit for a function with more than 9 parameters?
Thanks
