Hi Heiko the MX fit plots are available at: http://www.slac.stanford.edu/~petrella/tmp/scra/Ibuzero_nofit_ip020/zero_nofit_ip020fitresults.eps for the ENRICHED SAMPLE and at: http://www.slac.stanford.edu/~petrella/tmp/scra/Ibuzero_nofit_ip020_depl/zero_nofit_ip020_deplfitresults.eps for the DEPLETED SAMPLE. I have used all reweightings and set the D**+other/(D*lv+Dlv) ratio to 0.428585. The third bin (mx=[1.9,2.2] GeV) changes significantly. Ciao Antonio Heiko Lacker ha scritto: > Hi Antonio, > > can we also have a look at the plots for the MX fits, > both for signal-enriched and signal-depleted? > > I'm curious, after all re-weightings discussed so far, > how the fit performs above 2 GeV. > > Cheers, > Heiko > > On Tue, 26 Sep 2006, Antonio Petrella wrote: > >> Hi, >> on the web page where I posted results of systematics due to >> randomization of S/P: >> >> http://www.slac.stanford.edu/~petrella/systsp.html >> >> you can see that this systematic error is not stable, for example when >> cutting on integrated purtity. >> >> Now I'm trying to look at other results from these jobs to see if I can >> find what makes this errors so large, but probably this is also due to >> the S/P ratio and its error. >> >> For example if you look at the correction factors for IP > 0.50 >> (http://www.slac.stanford.edu/~petrella/tmp/SP_allrew/SPallweights/ip050_allrew/corrallwip050pol1.eps) >> >> you can see that the first bin has a large error (the exact value of the >> correction factor for this bin is S/P = 5.67 +- 5.34) >> >> These numbers (they're on the spreadsheet at >> http://www.slac.stanford.edu/~petrella/tmp/SP_allrew/SPallweights/SoverPFullRew.sxc) >> come from the double ratio of S/P on MC (0.74 +- 0.13) times the S/P >> ratio on data depleted sample >> >> (http://www.slac.stanford.edu/~petrella/tmp/SP_allrew/SPallweights/ip050_allrew/data_depl_AC_intp0.50_0.001.55.eps) >> >> On data depleted sample the signal component (fitted) is 291 +- 31 and >> the background component (fitted) is 38 +- 35, so the error on the final >> S/P ratio is driven by the background component on data depleted >> sample... and cutting on purity (and having less background) will give >> roughly higher errors on background component (at least the statistical >> error). >> >> For the data depleted sample we get S +- dS and P +- dP as they come out >> from the fit and then we compute the quantity S/P +- d(S/P). But these >> errors are correlated, aren't they? >> >> ciao, >> Antonio >>