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Status Analysis pp -> D s D s0 (2317) Overview Reconstruction Some QA plots Figure of merit First approach/strategy.

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Presentation on theme: "Status Analysis pp -> D s D s0 (2317) Overview Reconstruction Some QA plots Figure of merit First approach/strategy."— Presentation transcript:

1 Status Analysis pp -> D s D s0 (2317) Overview Reconstruction Some QA plots Figure of merit First approach/strategy

2 Channel (@ 4.306 GeV) Decay Tree 8 final state particles Different options: –exclusive reconstruction –inclusive reconstruction via missing mass 70k Signal events, no PID no bkg events so far....

3 QA plots (Fast Reco, exclusive) N = 30001  = 16.8 MeV N = 55984  = 8.2 MeV N = 19446  = 3.7 MeV N = 9923  = 12.4 MeV

4 Missing mass (exclusive) Instead of full reco of D sJ calculate the missing mass of D s to beam 4-vector  resolution improves from 12 MeV to 9 MeV! N = 31574  = 9.2 MeV

5 m miss vs m Ds The both masses m miss and m Ds are highly correlated When we project to red line, we can gain much resolution! most likely from m miss for the wrong of the 2 D s

6 Sum m miss + m Ds N = 32301    = 1.5 MeV   = 4.7 MeV All these results are without PID! We‘ll see, how much that will improve!

7 Figure of merit Reconstruction of decay channel (in data for each energy) –find efficiency, background sources and levels Assumption about X-section  –N=Lumi   Weight/distribute via excitation function Fit with the same function and extract –  (D sJ )   Repeat the procedure for –various  ‘s –various beam jitters –different total cross sections Figure of merit: For a given beam jitter and , we need N events to measure  with significance 3 

8 Excitation function pp  XX for resonance X with parameters m R = mass,  = width This has to be convoluted with a gaussian to take into account finite beam spread For our channel pp  D s D sJ we need modification of this formula; but for the moment is sufficient

9 Excitation function pp  XX with gaussian convolution (beam spread) dp/p=10 -5 dp/p=10 -4 dp/p=10 -3  = 1MeV  = 0.1MeV  = 0.01MeV

10 Sensitivity for extracing  Idea: –choose , number of signal N and number of flat bkg B –create histogram with this distribution –fit again the function to this histogram –extract     –Significance of measurement is  –(this has to be extended for different beam spreads!) Example:  = 1.085  0.126 MeV S = 8.6   = 1 MeV N = 10000 B = 0

11 Sensitivity cont‘d (  = 1 MeV) N = 1000 B = 0 S = 2.7  N = 1000 B = 1000 S = 1.3  N = 10000 B = 0 S = 8.6  N = 10000 B = 10000 S = 4.0 

12 Sensitivity cont‘d (  = 0.5 MeV) N = 1000 B = 0 S = 3.2  N = 1000 B = 1000 S = 0.8  N = 10000 B = 0 S = 6.5  N = 10000 B = 10000 S = 1.3 

13 Sensitivity cont‘d (  = 0.1 MeV) N = 10000 B = 0 S = 3.2  N = 10000 B = 1000 S = 0.93  N = 100000 B = 0 S = 12  N = 100000 B = 10000 S = 3.3 

14 Steps to do... With simulation determine efficiency and signal-to-noise When absolute cross section for bkg is known –calculate with efficiency the necessary signal cross section to measure  with 3  (for a set ,  p/p and integrated luminosity L) Open questions: –how to get by bkg level / bkg cross section –is DPM good enough to do that job –do we have to identify particular bkg channels? (do we know cross sections for those?)


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