Dear Sasha, Thank you for the quick comments. Alexander Lanyov wrote: > >>>sect.3.2, para 1: figure 2, figure 3, figure 4 --> figures 2-4 >>> >>> >>> >>See my answer to Alan. >> >> > >If you can send me LaTeX files, I can try to look how this can be done. > > Has been solved already. >>>page 13, last para: Where PDG has the value (89.1+-4.1)% ? >>> >>> >>Page 200, last paragraph. >> >> > >PDG quotes separate values for different channels. >Why did you choose the sum of D0, D+ and D+s? >Your value for D*+ is more precise than for D+s. >Why not choose the sum of all four states, or calculate sigma(cc) for each >channel separately and then combine them? >The last option could give the most precise result. > > > Our approach was that if we measured all open c ground state cross sections, we would have no error from the extrapolation to the full ccbar cross section. No we measure only a part of it (89%), but this fraction we want keep as high as we can, and there we sum up all channel that we measure (D* does not qualify, because it is not ground state, decays to D0). Of course we could do it by calculating the ccbar cross section as a weighted average of cross section extrapolated from each of the channels, but this implies that: - we assume that the fraction measured in e+e- are the same as in pA - we understand how to separate the correlated and uncorrelated errors in the fractions > > >>>sect.5.3: You cite several times PDG [24], but I wasn't able to find >>> these numbers in PDG. Could you please tell where to look? >>> >>> >>PDG: page 200. >> >> > >Taking the data from PDG page 200, I get > sigma(D+s)/(sigma(D0)+sigma(D+)) = 0.080/(0.565+0.246) = 0.10 +- 0.02 >which is different from your PDG value (0.13 +- 0.04). > > > In the paper the value we actually use the value of 0.10 (p 15) , the 0.13 is in the note, has not been updated yet (was taken from the old reference by Gladilin). > > >>>page 14, last para: If you fit and beta, you get chi2/ndf=0.82 >>> but if you fix beta to 6, you get chi2/ndf=0.81. >>> But then the first result is not a global minimum >>> of chi2/ndf! >>> >>> >>> >>This is a likelihood fit result which is not necessarily at the chi2 >>minimum. Chi2 is in this case only of informative nature. Note, however, >>that we have by mistake quoted the Neumann chi2 returned by paw, and not >>the more appropriate chi2 from the likelihood. >> >> > >Are you going to change your description? (in the last draft I still see >the same discussion). > > > I do not think we have to change the description. In the present version we just quote chi2, and we note that the fit is a likelihood fit. Note that we have also modified comparison to others in the leading/non-leading section. We only quote other experiments (and give their values ans xF ranges), and skip a comparison to Pythia. Looking forward to hearing from you and Alan Peter