Match SVD - Outer Tracker

Algorithm works both on real data and MC.
1. Algorithm
The segments reconstructed in PC region or in magnet area are prolongated to the plane just behind SVD detector (160 cm). In case the momentum is meaningfull ( .5 GeV<abs(P)<100000 GeV) the program tries to estimate it by target constrain (RcPoint). The SVD segments are prolongated to the same plane of match as well. Then the standard comparison is performed by RcMatchBuilder.

The magnet is supposed to be ON.

2. Selection of objects to be matched
1. SVD : taken from RSEG ArteTable
   1. rseg->fit = 0
   2. (rseg->cmp & Rsegc::bitsign) == 0
   3. rseg->cmp == Rsegc::vxd || rseg->cmp == 65537(CATS)
   4. -30 < rseg->ze < 800
   5. the end point of RSEG is considered for match
2. OTR : taken from RSEG ArteTable
   1. rseg->fit = 0
   2. (rseg->cmp & Rsegc::bitsign) == 0
   3. rseg->cmp & Rsegc::patt || rseg->cmp & Rsegc::magt
   4. -30 < rseg->ze < 800
   5. the first point of RSEG is considered for match

3. Match Parameters

DEFAULT
rcSvdOtConst;

• match based on { X, Y, TX, TY \} variables;
• Z of plane of match = 160 cm
• abs( delta_X ) < 0.8 cm;
  abs( delta_Y ) < 11 cm;
  abs( delta_TX ) < 0.004 rad;
  abs( delta_TY ) < 0.015 rad;
  
• no $\chi^2$ cut is used;
• no check on combination with given object to be matched;

optimized with ARTE-03-06-r4 on real data

SOFT
-rcSoftSvdOtConst
• match based on { X, Y, TX, TY \} variables;
• Z of plane of match = 160 cm
• abs( delta_X ) < 10 cm;
  abs( delta_Y ) < 35 cm;
  abs( delta_TX ) < 0.02 rad;
  abs( delta_TY ) < 0.5 rad;
  
• no $\chi^2$ cut is used;
• no check on combination with given object to be matched
optimized with ARTE-03-05 on real data

4. Call Sequence
-

RECON/MATCH marple VDS OTR
from user.kumac, if standard reconstruction for real data is called
or
void matchsvdot_();
from usevnt_() if no reconstruction is called

5. Recomendations
The algorithm was tested on real data december'99 with ARTE-03-05-r1 and optimized on run 14577 with ARTE-03-06-r4. The programs used for subdetector parts were CATS and RANGER (soft ranger parameters). Even that CATS provides a covariance matrix in this release, the usage of $\chi^2$ cut is not tested and therefore not used. The performances of algorithm was heavily checked by P.Conde and results are available in the minutes of tracking group.

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