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FTKSim Status and plans FTK Meeting 07/13/2006 F. Crescioli, M. Dell'Orso, G. Punzi, G.Volpi, P. Giannetti.

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Presentation on theme: "FTKSim Status and plans FTK Meeting 07/13/2006 F. Crescioli, M. Dell'Orso, G. Punzi, G.Volpi, P. Giannetti."— Presentation transcript:

1 FTKSim Status and plans FTK Meeting 07/13/2006 F. Crescioli, M. Dell'Orso, G. Punzi, G.Volpi, P. Giannetti

2 FTKSim performance control chain Our method to monitor the FTK performances use truth and offline tracks. This method eliminate problems due to the ghost. Recipes: iPatRec customized version FTKSimWrapper FTKSim ATHENA: Generation, Simulation, Digitization iPatRec (custom) FTKSimWrapper Training data format: Hits Truth tracks Offline tracks FTK data format Hits FTKSim ftksim_comp FTK tracks ROOT Histograms

3 Bs->mumu Efficiency is greater than 80% in this sample Efficiency for pions and kaons is > 75% In curvature there are effects due to the different particle types in different curvature ranges.

4 Bs->mumu (2) No particular problem in FTK, but also in iPatRec, to reconstruct trakcs with large impact parameter.

5 WH->munuuu We make same standard checks over this sample to validate FTKSim. FTK efficiency is lesser than Bs->mumu sample. Especially for pion and kaon. Plot of efficency as function of curvature is due to the various particle composition at differtents Pt

6 WH->munuuu (2) Impact parameter spectrum seems well reconstructed Not particular effects on efficiency as function of impact parameter of tracks

7 WH->munubb Same effect on global efficiency and in particular on pions and kaons efficiency.

8 WH->munubb (2) For the impact parameter we have a large inneficiency for large impact parameters, but also offline seems to have such problem.

9 Checks: WH->munuuu WH->munubb In a previous meeting was reported results of FTK over these control samples. The distrubutions appear quite similar.

10 Checks: WH->munuuu WH->munubb (2) Using only tracks that have matched with the truth the two distribution appear very differents.

11 Partial conclusions Bs->mumu and WH samples probably have some differences:  Pile-up?  Physics ineraction in ID?  Misalignments? FTK, with an offline match with truth, have good performances. Need to implement a method to remove ghosts without using other informations. Some tools to validate the FTKSim performances will be uploaded in my FNAL web pages.

12 Suggestions for the FTKsim user 1.Before starting to use a set of new files with FTKsim, please look at files using the offline tools (an offline track reconstruction algorithm like ipatrec). 1.Guido’s tools to compare FTKsim performances with Ipatrec performances. Available @ http://fcdfhome.fnal.gov/usr/volpig http://fcdfhome.fnal.gov/usr/volpig Please use them to check track quality. 1.When track quality is guarantee everything else is easier Possible residual motivation of problems: Ghosts tracks produced by FTKsim require now a particular use of simulated tracks: Guido tools are a good example of this use

13 Next: Ghost handling Plan Duplicated roads/tracks due to: 1.Deletion of 5/6 by RW when a 6/6 is available produces small inefficiencies if the 5/6 was the real track  reject all 5/6 and do 7 fits in parallel (6/6 and all 5/6 combination) to choose the best  2 1.Deletion of 5/6 by RW not possible if the empty strips belong to different sectors 1.Training tracks going through the overlap region NOW produce many Ghost patterns not identified by the RW because of type 2. Reduce the ghosts of type 2 due to overlap regions, generating a single pattern

14 Changes to FTKsim 1.Generate again the pattern bank deleting ghosts due to overlap regions (Francesco). 1.Modify the Track fitter to perform 7 fits when a 6/6 hit combination is found (Guido).

15 MUON Trigger: WHAT WE HAVE UNDERSTOOD FROM ATLAS TALK http://agenda.cern.ch/fullAgenda.php?ida=a062952 1.Single 6 GeV  trigger in the ATLAS trigger plan for Instant Lum = 10 33. 2 nd  searched using jet ROIs or  ROIs below 6 GeV 1.We suggest to look for 2 nd  using the list of FTK tracks above 3 GeV, ordered for decreasing Pt. 2.Muons are measured by the detector down to 3 GeV. 3.Muons are triggered in the barrel with a minimum threshold of 5 GeV

16 Muon Selection

17 LEVEL 1 LEVEL 2- Mu-comb LEVEL 2-  fast ~2ms 68% efficient for 270 Hz

18 TO do list for the Bs->  1.Scan the track list to find matches with the external . How many times they are the 2 most energetic tracks above 3 GeV? 1.How much the  /k background is reduced by this match FTK-track-MU? THIS WORK IS STOPPED TO IMPLEMENT A GOOD GHOST HANDLING

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