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STAR Silicon Vertex Tracker Detector (SVT) Update

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Presentation on theme: "STAR Silicon Vertex Tracker Detector (SVT) Update"— Presentation transcript:

1 STAR Silicon Vertex Tracker Detector (SVT) Update
Nothing tends so much to the advancement of knowledge as the application of a new instrument - Sir Humphrey Davy ( ) Helen Caines - Yale University

2

3 Presentation Overview
SVT Introduction SVT Performance Track-to-Hit Matching Vertex Reconstruction Energy Loss Strange Particle Decays Summary & Conclusions

4 Welcome to BNL- RHIC!

5 The STAR Detector Magnet Time Projection Chamber Coils Silicon Vertex Tracker * TPC Endcap & MWPC FTPCs (1 + 1) ZCal ZCal Vertex Position Detectors Endcap Calorimeter Barrel EM Calorimeter Central Trigger Barrel + TOF patch RICH * yr.1 SVT ladder 1st year, 2nd year, year-by-year until 2003, installation in 2003

6 SVT Installation Installed for the first time RHIC run

7 p-p vs Au-Au at √sNN=200 GeV
Two very different environments: p-p - Few tracks, primary vertex not well known high luminosity Au-Au – Few 1000 tracks Vertex well located Track/hit merging

8 SVT Design Each wafer is 6.3 cm x 6.3 cm area 300 mm thick - 0.3%X0
Average radiation length seen by a particle 4.5%X0 incl. fee cards etc. Consists of 216 wafers 3 Barrels Outer radius – 15cm Middle Radius – 10cm Inner radius - 6cm Length - 21cm Inner barrel has 8 ladders – 4 wafers/ladder Middle barrel has 12 ladders – 6 wafers/ladder Outer barrel has 16 ladders – 7 wafers/ladder

9 Silicon Drift Detector - Principle
Ionizing particle Z - position from readout anode number Drift time ~ 5 msec 240 Anodes/wafer 100 samples/anode SDD R - position from drift time X Electron cloud Gain : 1 e- = 7.2mV 4 mV = 1 ADC

10 Calibrations - Pedestals
First Time bucket Pedestal Subtraction done online Other 127 Time buckets Anode You can see the edges of the 15 PASA’s and more obviously the 3 analogue buffers where the multiplexing occurs 96.5% of 103,680 channels operational 91.2% of 103,680 channels used in analysis

11 SVT Performance 7 mV for pp 4 mV design (<7 mV aim) counts Noise:
12 mV for Au+Au (due to a grounding problem now fixed) 4 mV design (<7 mV aim) cm 30 mm resolution reproducibility

12 Drift Velocity Calibration
SDD’s modeled using 2 drift velocities. One in the drift region and one in the focusing region There is a temperature dependence across the wafer which must be accounted for.

13 SVT Temperature Control
Au-Au

14 Hit to Track Matching TPC inner radius = 50cm SVT outer radius = 15cm
Au-Au Mixed events Closest hit TPC inner radius = 50cm SVT outer radius = 15cm Project tracks from TPC to SVT Au-Au Closest hit Real events Yes! Are we matching correctly?

15 Drift Residuals vs Wafer
Before Alignment Shifted center of SVT Relative to TPC by x=-0.276cm y=-0.82cm After Alignment Magnitudes agree with survey results 1 2 3

16 Using SVT for TPC Calibration
Track dip angle < 0.1 mean D(Z) = cm vdrift = 5.56 cm/msec TPC T0 shift = /5.56 = 9.46 x 10-3 msec After Corrections Shift in Z + TPC T0/Vdrift wrong

17 Vertex Finding - Resolution
p-p STAR Preliminary Z offset of 0.005cm – Aligned in Z

18 Anode Residuals vs pt STAR Preliminary Pt resolution worse at low pt where energy loss and scattering not yet taken into account Au-Au

19 Primary Matching “efficiency”
Efficiency is defined as the number of tracks with SVT hits added (2 or more) p-p If you go to ±30cm average effic is 45% Flat in pt Expect ~85% from simulation of perfect detector p-p

20 Impact Parameter Improvement
3D impact parameters of track associated to primary vertex  should be close to zero pp: Mean 0.7->0.51 cm RMS 0.59->0.48 cm TPC TPC+SVT cm

21 Energy Loss in the SVT Layers
3 sample maximum Higher energy resolution Good for low momentum Preliminary Preliminary p Independent measure of dE/dx Allows 2D cut

22 Strange Particle Decays
+ - V0 Reconstruction Black is TPC only Red is TPC+SVT ~35-40% greater yield in K0s region Preliminary Preliminary Blue is TPC only Red is TPC+SVT Mostly low pT

23 Summary & Conclusions Sharpens the primary vertex reconstruction
Improved PID More precise low pT tracking Enhanced analyses (already ~40% more K0) To Do: Improve noise reduction Understand track to hit matching Take more data!

24 The STAR Collaboration
Russia: MEPHI - Moscow LPP/LHE JINR - Dubna IHEP - Protvino U.S. Labs: Argonne Berkeley Brookhaven U.S. Universities: Arkansas University UC Berkeley UC Davis UC Los Angeles Carnegie Mellon University Creighton University Indiana University Kent State University Michigan State University City College of New York Ohio State University Penn. State University Purdue University Rice University Texas A&M UT Austin Washington University Wayne State University Yale University Brazil: Universidade de Sao Paolo China: IHEP – Beijing, IMP - Lanzou IPP – Wuhan USTC SINR – Shanghai Tsinghua University England: University of Birmingham France: IReS Strasbourg SUBATECH - Nantes Germany: MPI – Munich University of Frankfurt India: IOP - Bhubaneswar VECC - Calcutta Panjab University University of Rajasthan Jammu University IIT - Bombay VECC – Kolcata Poland: Warsaw University of Technology


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