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Hi, I have implemented a polynomial fit on the S/P correction factors. Just to give an idea on how things change by fitting the corrections on data as a function on mx by doing a p1 fit (==a0+a1*mX): #mx_l mx_h corr err_corr 0.00 1.55 2.205 +- 0.401 1.55 1.90 1.697 +- 0.213 1.90 2.20 1.524 +- 0.175 2.20 2.50 1.363 +- 0.169 2.50 2.80 1.203 +- 0.193 2.80 3.10 1.042 +- 0.238 3.10 3.40 0.882 +- 0.295 3.40 3.70 0.721 +- 0.358 3.70 4.20 0.507 +- 0.447 4.20 5.00 0.160 +- 0.598 the corrections based simply on the mES fits outcomes (what we had been using up to now) were #mx_l mx_h corr err_corr 0.00 1.55 1.499 +- 0.495 1.55 1.90 2.688 +- 0.655 1.90 2.20 1.801 +- 0.296 2.20 2.50 1.896 +- 0.611 2.50 2.80 1.165 +- 0.468 2.80 3.10 0.637 +- 0.311 3.10 3.40 19.367+- 34.585 3.40 3.70 1.524 +- 1.610 3.70 4.20 8.180 +- 31.833 4.20 5.00 0.555 +- 6.639 fits with the fitted correction ratios are running... Concezio. Il giorno lun, 24-07-2006 alle 18:23 +0200, Heiko Lacker ha scritto: > Hi, > > please don't forget that we have shifted our > starting time from 8:15 to 7:30 SLAC time. > > Talk to you tomorrow. > > Cheers, > Heiko