Hi Rooters,
I need to simultaneously fit two independent data
sets :
A:(xa_i,ya_i), i=0...N_A
B:(xb_j,yb_j), j=0...N_B
with two similar functions :
f_A(p_A, par0, par1,...,parn) to describe data set A
f_B(p_B, par0, par1,...,parn) to describe data set B
The two functions have the same expression, and share
the same parameters : they differ by only one
parameter (the first one). Of course I can fit
independently A with f_A and B with f_B. But what I
need is the common parameters values (par0,... parn)
and values of (par_A, par_B) that fit simultaneously
the two datasets, i.e. that minimize the combined
chisquare (sum of the 2 chisquares).
I have tried different methods (and sometimes
awful tricks) with Root but failed to write
a working program.
Is there an easy way to do this with Root ?
Michel
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