Status FTKSIM July 20 2005 G Volpi Siena

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Status FTKSIM July 20, 2005 G. Volpi (Siena) for: F. Crescioli, M. Dell'Orso, G.

Status FTKSIM July 20, 2005 G. Volpi (Siena) for: F. Crescioli, M. Dell'Orso, G. Punzi, C. Roda, G. Usai, I. Vivarelli, G. Volpi.

Code organization In progress Existing (SVT) Red: basic performance parameters than can be brought

Code organization In progress Existing (SVT) Red: basic performance parameters than can be brought inside ATLFAST

Status FTKSIM ● ● Now we have approximately 1300 K events of single muon

Status FTKSIM ● ● Now we have approximately 1300 K events of single muon track monochromatic in Pt (at 6, 8, 10, 20, 40 Ge. V/c) Event digitization without noise and secondary propagation off. Sufficient statistic to divide barrel in sectors (R-phi plane), geometrical constants and patterns for each sector. Test some performance of linear fit vs ATLAS full offline reconstruction, using Space Points (SP).

Sectors ● ● ● Barrel divided in 355 sectors in tranverse plane. Each sector

Sectors ● ● ● Barrel divided in 355 sectors in tranverse plane. Each sector consists of a combination 6 silicon module, 1 silicon module per layer. sub-sample of 350 k tracks of mu+ and mu-, Pt = 6, 8, 10, 20 , 40, to generate linear constants. Usable for geometrical generation: 289 k tracks Linear constants for 348 sectors (all but the lowest populated ones)

Performance on tracks ● ● We have determined linearized fit constants (. fcon for

Performance on tracks ● ● We have determined linearized fit constants (. fcon for CDF people) for transverse track parameters 1/Pt, phi and impact parameter. We made a comparison of ATLAS reconstruction (R) and linearized fit (F)

Curvature reconstruction FTKSIM evaluates curvature correctly, with a resolution only slightly worse than ATLAS

Curvature reconstruction FTKSIM evaluates curvature correctly, with a resolution only slightly worse than ATLAS reconstruction algorithm (i. Pat. Rec)

Same small biases are present both in offline reconstruction and ftksim UNDER INVESTIGATION

Same small biases are present both in offline reconstruction and ftksim UNDER INVESTIGATION

Curvature reconstruction show a small non-linearity ●Resolution on 1/Pt vs 1/Pt is worse than

Curvature reconstruction show a small non-linearity ●Resolution on 1/Pt vs 1/Pt is worse than i. Pat. Rec by nearly constant offset ● i. Pat. Rec shows a bias on reconstruction of Pt.

Phi reconstruction FTK reconstructs phi of tracks with same precision of ATLAS algorithm

Phi reconstruction FTK reconstructs phi of tracks with same precision of ATLAS algorithm

FTKSIM reproduces also a strange periodic pattern in phi difference vs global phi. i.

FTKSIM reproduces also a strange periodic pattern in phi difference vs global phi. i. Patrec

Impact parameter fit Impact parameter reconstructed by FTKSIM appears to be better than Off-line.

Impact parameter fit Impact parameter reconstructed by FTKSIM appears to be better than Off-line. Not an actual performance because FTK in this case forces fits to have <d>=0 mm, while ATLAS reconstruction don't: Impact parameter currently underestimated

Summary and next steps ● ● We have successfully determined linearized constants for measuring

Summary and next steps ● ● We have successfully determined linearized constants for measuring phi and Pt in silicon tracker. We still need to improve a few things. However, our first priority now is to produce and distribute a first release of a package that anybody can use to start physics studies with FTKSIM

Detailed physics studies

Detailed physics studies

Parallel work, of lower priority ● ● ● Start studies on use of the

Parallel work, of lower priority ● ● ● Start studies on use of the 2 nd local coordinate z, to extract z 0 and cot(theta) parameters. We need a sample of single tracks coming from a larger beam spot, in order to fit impact parameter correctly. We need a continuous Pt spectrum, rather than discrete values in order to produce realistic patterns. – ● The above two things probably cannot be done with current samples, and we have to make the effort of generating it ourselves. Try to get better linarity in 1/Pt with a higher granularity of sectors.