1. Status of Real data

2. Nano-Dst Production

3. Information stored in Nano-Dst

Analysis of CuCu 62.4 GeV STAR Data (run5)

Neeraj Gupta

University of Jammu

4. Simulation Studies

Status of Real Data

The data has been divided into different categories according to the number of chains working in the data taking.

S.No. Runs Category Voltage Chains Not Working

1.

2.

3.

4.

5.

Runs A

Runs B

Beam-ON (Runs A)

Beam-OFF (Runs A)

Runs C

1400 V

1400 V

1400 V

1400 V

1425 V

14 , 18, 20, 22

14 ,18,20,22,27,34,35,36,37,38,48

14 , 18, 20, 22

14 , 18, 20, 22

14 , 18, 20, 22

Chains # 14,18,20,22 did not work through out the data.

For Runs B category Chains # 27,34,35,36,37,38,48 are not working.

For category Runs A(Beam ON/OFF) we have total 246 runs.

For category Runs B we have total 89 runs.

For category Runs C we have only 3 runs.

CuCu 62.4 GeV data started from 10th March 2005 to 22nd March 2005.

For detailes see web page (www.star.bnl.gov/~neeraj)

Analysis of Real Data

Beam-ON6075009

6075010

6075013

6075018

6075019

6075020

6075025

6075026

6075151

6075152

# of Events 31164

128596

100595

199602

198449

124624

199047

126942

99637

99666

# of EventsBeam-OFF6081014

6081017

6081019

6081033

6081035

6081038

6081041

6081043

6081046

198626

51254

136729

120164

198618

198680

198900

6798

80885

41804

6081042

We have analysed runs from two categories (Beam-ON and Beam-OFF)

Following run numbers have been analysed :

Nano-Dst Production

Step 1st Step 2nd Step 3rd

Nano-Dst fileCleaning& Isolated Cell

Clustering

Gain Calibration

Step 1st

Cleaning of Data:

(1)channel 0(all ready removed in data)

(2) Hot Channel: depending upon hit frequency

Hot channel = hit frequency >mean5*sigmaof hit distribution

Raw and Clean ADC Spectra

CPV PLANE PMD PLANE

Raw and Clean ADC Spectra

CPV PLANE PMD PLANE

Isolated Cell

From various test results we know that charged hadrons typically hit single cell while photons hit more than one cell.

0

0 0

0

0

0ADC>0 Isolated Cell

We look for hit cell whose surrounding six neighbours are not hit . These isolated cells are assumed to be hadrons.

Isolated Cell Spectra (SM Wise)CPV PLANE PMD PLANE

Isolated Cell Spectra (SM Wise)CPV PLANE PMD PLANE

Isolated Cell Spectra (SM Wise)CPV PLANE PMD PLANE

SM MEAN SM

169111245732

58.1562.6591.4750.838.0430.9428.7426.7625.6925.43

120.8134.9169.5113.087.2675.9471.6955.7753.4647.48

131920232117221615241418

112.5115.2126.597.4197.2791.566.0265.0663.2164.2732.6447.53

122.2140.2175.5104.091.7877.4274.4457.1854.547.69

56.7665.2295.0846.8340.1231.1529.0927.2726.4225.28

116.6102.0128.9101.396.4281.7667.2567.2364.9759.6433.6237.14

47.6440.7955.1534.9937.3227.2921.8123.9724.2325.4723.4123.33

BEAM-OFF BEAM-OFFBEAM-ON BEAM-ON

MEAN MEAN

CPV PMD

MPV MPVMEAN MPVMPV

45.8648.6954.6333.3923.3830.5421.6723.6124.2828.2938.1322.85

CPV PLANE

PMD PLANE

SM WISE MEAN vs MPV Variations

Isolated Cell Spectra (Chain Wise)CPV PLANE PMD PLANE

Isolated Cell Spectra (Chain Wise)CPV PLANE PMD PLANE

CHAIN CHAINMEAN MPV MEAN MPV MEAN MPV MEAN MPV

123456789101112131415161718192021222324

252627282930313233343536373839404142434445464748

56.7514.5627.6427.7724.390.025.4539.7465.6427.9949.7331.2724.60.094.5595.540.00.046.830.037.930.037.3659.67

110.729.0371.1935.1159.5652.9657.92103.796.9267.134.9854.020.0121.398.06133.1112.753.1379.5662.63118.8102.830.4860.07

44.8722.4819.8523.3724.7723.7423.536.4638.3426.5823.517.930.051.4437.4758.5643.9323.3729.923.8543.2434.6914.7425.58

122.034.8556.3253.4847.290.047.4496.37132.758.5697.0567.6584.380.0169.2170.6145.80.099.720.080.770.080.97123.3

58.1316.0326.8127.1823.340.026.138.463.027.5947.8830.744.660.090.8791.9876.040.044.970.036.00.035.8356.63

106.828.3569.833.758.6651.3255.5899.1192.4366.6843.5861.59121.5121.8100.5127.3108.152.5377.3661.69114.4100.832.1766.44

43.322.4119.5922.9624.6523.3923.2433.9536.2327.4422.4822.4352.5650.5230.8555.0541.7823.2728.9723.5341.4532.8916.0828.86

BEAM-OFF BEAM-OFFBEAM-ON BEAM-ON

122.230.9158.8556.046.050.048.41100.2136.160.7120.269.776.70.0175.2178.50.00.0104.00.084.630.084.45128.1

CPV PMD

Chain wise MEAN vs MPV Variations

Run Number

Date

Time

Number of Event

MaxHit

Ref Multiplicity

Vertex

ADC

Chain

SM

Row

Col

Ntuple FileEnd of 1st Step

Step 2nd

Taking input from step first to do cell to cell gain calibration

Because it is important that response of each cell be uniform through out the detector

We need Isolated cell ADC and then fit landau to get

MEAN, MPV and

For each cell, there will be one gain factor.

There might be SM to SM gain variation.

GAIN RMS Variations

MPV Variations MEAN Variations

MPV Variations MEAN Variations

MPV vs MEAN Variations

MPV vs MEAN Variations

MPV vs MEAN Variations

Step 3rd

After Gain calibration, we do the clustering

A photon when hits the lead convertor in front of the preshower plane, it gives electromagnetic showers.

The electron/poistron pair coming out of the shower then hits a group of cells on the preshower plane. So it is nessecary to do a clustering to obtain the photon clusters in an event.

Each cluster is then characterised by it's total ADC ,Eta and, phi.

We have some results after clustering

Cluster ADC Distribution

Total Cluster in PMD

Eta Distribution

Phi Distribution

Nano-Dst file

Event Number

Tracks

Reference Multiplicity

TriggerId

Pmd Hits

Vertex Information

Number of Cluster

Cluster Eta

Cluster Phi

Cluster ADC

Cluster Sigma

To Do List

Making Nano-Dst Files for whole data

Do physics analysis(dN/d, Limiting fragmentation etc.)

Your suggestions

Simulation Studies of CuCu 62.4 GeV

Simulations

Total 20K events have been generated with SL05d

STAR Geometry with all detectors including PMD.

Simulated data have been made as real data alike

by switching off the Chains which are not working in

real data.

Isolated Cell Energy Distribution

Au+Au 62.4 GeV

Cu+Cu 62.4 GeV

Photon Counting Efficiency and Purity

0-10% 50-60%

All Detectors All Detectors

0-10% 50-60%

Photon Counting Efficiency and Purity

0-10% 0-10%50-60% 50-60%

All Detectors All Detectors

Efficiency and Purity

0-10%

0-10%

50-60%

50-60%

Optimizing Mip Cut

Photon Counting Efficiency and Purity

Eff = no. of photon clusters / no. of incident photons

Pur = no. of photon clusters / total no. of photon like clusters

Photon Pseudorapidity Distribution (dn/d)

Cu+Cu 62.4 GeV

Thanks to all STAR PMD Collaborators

Thanks to Dr. Zubayer Ahammed and Dr. S. Chattopadhyay For a continuous help and discussion to do above works.

Percentage (%) of Split Cluster