Simulation Studies of Au+Au At 200 GeV

29th Dec. 2005 PMD collaboration meeting VECC Sunil Dogra

Simulation Studies of Au+Au At 200 GeV

Outline:1. Simulation Chain2. Hit level PMD Characteristic3. Clustering output4. MIP In Simulation5. MIP Optimization6. PMD Acceptance factors7. Centrality Selection8. Photon Counting Efficiency and Purity9. DATA

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Simulation Chain1. Generated 20k minbias 0-20fm events at

200 GeV using HIJING event generator with default settings and π0 decay on.

2. Pass these particles through the GEANT(STARSIM) with all detectors Y2004 geometry which gives output in zebra format.

3. Run bfC(Big Full Chain) with Dr. Phatak’s Clustering routine to get the .event.root, geant.root as out put.

4. Read the PMD and other global information.

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Hit Level PMD Charactersitics from Simulation

Incident Photons1. Main source π0

2. Other sources are ω, K0, η

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

contd.

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

MIP in Simulation

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Clustering Output from simulation

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

PMD Acceptance & factors

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Acceptance factor

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Reference Multiplicity and N-participants distribution

Number of Participants

1

1

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Percentage of Clusters

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

MIP Optimization

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Efficiency for Photon countingEfficiency is defined as number of clusters detected overcertain threshold out of incident number of photons

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Purity of Photon samplePurity of photon sample is defined as the number of clusters detected over certain threshold out of total number of clusters -like

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Cluster edep in each η bin

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Cluster edep in each η bin

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Mean=.5411RMS = .1166Χ2/ndf = 962/19.4Constant = 5289Mean = .5375+-.0004Sigma = .08414+-.0040

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

Results from Data

nhits<3300 & mean +- sigma

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra

cont.

29th Dec 2005 PMD Collaboration Meeting VECCSunil dogra