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 signalenriched and signaldepleted?
>
> I'm curious, after all reweightings 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
>>
