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SVXonly AM bank performances for forward/backward tracks

SVXonly AM bank performances for forward/backward tracks. Laura. Outline. Two pattern banks tested with SVT simulation : Quality of the roads => phi0 resolution . This can be done matching the SVX-only roads with Level3 tracks

leandra-knapp
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SVXonly AM bank performances for forward/backward tracks

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  1. SVXonly AM bank performancesfor forward/backward tracks Laura

  2. Outline • Two pattern banks tested with SVT simulation: • Quality of the roads =>phi0 resolution. This can be done matching the SVX-onlyroads with Level3 tracks • Number of roads coming out the AM: we used 2 dataset/trigger selections to estimate the latency. • Bank Coverage

  3. AM bank study (128 kpattern available) We tested different configurations: • 128 kpattern road size (SuperStrip size 64457), IP<500 um, Pt>10 GeV ,1 < || < 1.8 • 100 Kpatt => 95% Coverage b) 512 kpattern road size (ss size 43334), IP<500 um, Pt>10 GeV, 1 < || < 2.5 • 400 Kpatt => 95% Coverage • Too large bank c) 512 kpattern road size (SuperStrip size 43334), IP<300 um, Pt>20 GeV , 1.2 < || < 1.5 • 128 Kpatt => 95% Coverage

  4. Trigger selections used to evaluate system performances Two different Trigger: 1) JPSI_CMUCMU2_PS2 (run 211554): • used to test the larger roads • (128kpattern road size: ss 64457) • Soft events 2) MET_L2S1K_L1_MET15_&_JET5_&_TWO_TRK2 (from run 211200 to run 211877) : - used to test the thinner roads (512kpattern road size: ss 43334) - Harder events, no level2-level3 requests

  5.  matching • A road corresponds to a certain set of tracks that have similar , Pt and impact parameter • The roads are now really thin • The rms of track’s phi in the road can be enough small to allow association between the road and the muon/cal. • For the study we use both 0 ( measured @ SVX) and 1 (0extrapolated to the BMU radius). BMU 1 1 = 0 + asin(cur x R_BMU) cur=track curvature R_BMU=radius of BMU road 0

  6. 6 electrical barrels Z  information • Two SVT track types: • Tracks crossing at least 2 barrels. • We know the track • => flag=0(Forward), 1 (Backward) • Tracks contained in a • single barrel; we don’t know  • => flag=2 • => It reduces the fakes.

  7. Quality of the road: 0L3- 0SVT • Effect of the eta Flag • Resolution = 5.6 10-3 rad • (large road): Without Flag Info With Flag Info • Resolution =3.5 x 10-3 • (thin road): • The required • resolution • ~ 2.5 degrees • ~40x10-3 rad

  8. <Max number of road> per wedge Large road with JPSI_CMUCMU2_PS2 Without RW Thin roads and smaller bank reduce the number of roads coming out the AM, even if we used a more energetic trigger!!! With RW Latency for the extraction of roads from AM is about 2 clock cycle for each road @ 40 MhZ. 100-120 roads -> 5-6 us Thin road with MET trigger

  9. Max number of road per wedge Thin Roads  a factor 10 less events @200 roads 10-4 Integral distribution over all luminosities of the #of roads per event found in the most crowded wedge. 10-5

  10. AM bank study Finally: • 128 kpattern road size (ss size 64457), IP<500 um, Pt>10 GeV, 1 < || < 1.8 • 100 Kpatt => 95% Coverage • Larger roads  TOO Many ROADS  TOO large latency c) 512 kpattern road size (ss size 43334), IP<300 um, Pt>20 GeV 1.2 < || < 1.5 • 128 Kpatt => 95% Coverage • Number of roads reduced ~ a factor 2 on MET sample • Quality of roads improved and very good!

  11. Eta Coverage The bank is efficient also in central region. => High probability to have central tracks sharing SVX ss with forw/backw tracks. Fakes due to central tracks will be removed by RW!!!

  12. Pt Coverage The bank is also efficient for low Pt, but the efficiency of the match in phi0 with lepton will favor the high Pt tracks.

  13. IP Coverage IP<300 um [um]

  14. Conclusion Next: • Matching efficiency • A further reduction of # roads will be provided removing all the central tracks faking forward roads • level 2 rates evaluation => Work on progress !!!!

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