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1. Status of Real data

Analysis of CuCu 62.4 GeV STAR Data (run5). Neeraj Gupta. University of Jammu. 1. Status of Real data. 2. Nano-Dst Production. 3. Information stored in Nano-Dst. 4. Simulation Studies. Status of Real Data.

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1. Status of Real data

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  1. Analysis of CuCu 62.4 GeV STAR Data (run5) Neeraj Gupta University of Jammu 1. Status of Real data 2. Nano-Dst Production 3. Information stored in Nano-Dst 4. Simulation Studies

  2. Status of Real Data The data has been divided into different categories according to the number of chains working in the data taking. 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. Chains Not Working S.No. Runs Category Voltage 1. Runs A 1400 V 14 , 18, 20, 22 2. 1400 V Runs B 14 ,18,20,22,27,34,35,36,37,38,48 14 , 18, 20, 22 Beam-ON (Runs A) 1400 V 3. 1400 V 14 , 18, 20, 22 Beam-OFF (Runs A) 4. Runs C 1425 V 14 , 18, 20, 22 5.

  3. CuCu 62.4 GeV data started from 10th March 2005 to 22nd March 2005. 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. For detailes see web page (www.star.bnl.gov/~neeraj)

  4. Analysis of Real Data We have analysed runs from two categories (Beam-ON and Beam-OFF) Following run numbers have been analysed : Beam-OFF # of Events # of Events Beam-ON 6075009 6075010 6075013 6075018 6075019 6075020 6075025 6075026 6075151 6075152 31164 6081014 198626 128596 6081017 51254 100595 6081019 136729 199602 6081033 120164 198449 6081035 198618 124624 6081038 198680 199047 6081041 198900 6081042 6798 126942 99637 80885 6081043 99666 6081046 41804

  5. Nano-Dst Production Gain Calibration Step 1st Step 2nd Step 3rd Clustering Cleaning & Isolated Cell Nano-Dst file

  6. Step 1st Cleaning of Data: • channel 0(all ready removed in data) • (2) Hot Channel: depending upon hit frequency • Hot channel = hit frequency >mean5*sigmaof hit distribution

  7. Raw and Clean ADC Spectra CPV PLANE PMD PLANE

  8. Raw and Clean ADC Spectra CPV PLANE PMD PLANE

  9. Isolated Cell From various test results we know that charged hadrons typically hit single cell while photons hit more than one cell. We look for hit cell whose surrounding six neighbours are not hit . These isolated cells are assumed to be hadrons. 0 0 Isolated Cell 0 ADC>0 0 0 0

  10. Isolated Cell Spectra (SM Wise) CPV PLANE PMD PLANE

  11. Isolated Cell Spectra (SM Wise) CPV PLANE PMD PLANE

  12. Isolated Cell Spectra (SM Wise) CPV PLANE PMD PLANE

  13. CPV BEAM-OFF BEAM-ON PMD BEAM-OFF BEAM-ON SM SM MEAN MPV MEAN MPV MEAN MPV MEAN MPV 1 6 9 11 12 4 5 7 3 2 122.2 140.2 175.5 104.0 91.78 77.42 74.44 57.18 54.5 47.69 56.76 65.22 95.08 46.83 40.12 31.15 29.09 27.27 26.42 25.28 120.8 134.9 169.5 113.0 87.26 75.94 71.69 55.77 53.46 47.48 58.15 62.65 91.47 50.8 38.04 30.94 28.74 26.76 25.69 25.43 13 19 20 23 21 17 22 16 15 24 14 18 116.6 102.0 128.9 101.3 96.42 81.76 67.25 67.23 64.97 59.64 33.62 37.14 47.64 40.79 55.15 34.99 37.32 27.29 21.81 23.97 24.23 25.47 23.41 23.33 112.5 115.2 126.5 97.41 97.27 91.5 66.02 65.06 63.21 64.27 32.64 47.53 45.86 48.69 54.63 33.39 23.38 30.54 21.67 23.61 24.28 28.29 38.13 22.85 C P V P LANE P M D P L A N E

  14. SM WISE MEAN vs MPV Variations

  15. Isolated Cell Spectra (Chain Wise) CPV PLANE PMD PLANE

  16. Isolated Cell Spectra (Chain Wise) CPV PLANE PMD PLANE

  17. CPV BEAM-OFF BEAM-ON PMD BEAM-OFF BEAM-ON MEAN MPV MEAN MPV MEAN MPV MEAN MPV CHAIN CHAIN 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 56.75 14.56 27.64 27.77 24.39 0.0 25.45 39.74 65.64 27.99 49.73 31.27 24.6 0.0 94.55 95.54 0.0 0.0 46.83 0.0 37.93 0.0 37.36 59.67 122.0 34.85 56.32 53.48 47.29 0.0 47.44 96.37 132.7 58.56 97.05 67.65 84.38 0.0 169.2 170.6 145.8 0.0 99.72 0.0 80.77 0.0 80.97 123.3 58.13 16.03 26.81 27.18 23.34 0.0 26.1 38.4 63.0 27.59 47.88 30.74 4.66 0.0 90.87 91.98 76.04 0.0 44.97 0.0 36.0 0.0 35.83 56.63 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 110.7 29.03 71.19 35.11 59.56 52.96 57.92 103.7 96.92 67.1 34.98 54.02 0.0 121.3 98.06 133.1 112.7 53.13 79.56 62.63 118.8 102.8 30.48 60.07 44.87 22.48 19.85 23.37 24.77 23.74 23.5 36.46 38.34 26.58 23.5 17.93 0.0 51.44 37.47 58.56 43.93 23.37 29.9 23.85 43.24 34.69 14.74 25.58 106.8 28.35 69.8 33.7 58.66 51.32 55.58 99.11 92.43 66.68 43.58 61.59 121.5 121.8 100.5 127.3 108.1 52.53 77.36 61.69 114.4 100.8 32.17 66.44 43.3 22.41 19.59 22.96 24.65 23.39 23.24 33.95 36.23 27.44 22.48 22.43 52.56 50.52 30.85 55.05 41.78 23.27 28.97 23.53 41.45 32.89 16.08 28.86 122.2 30.91 58.85 56.0 46.05 0.0 48.41 100.2 136.1 60.7 120.2 69.7 76.7 0.0 175.2 178.5 0.0 0.0 104.0 0.0 84.63 0.0 84.45 128.1

  18. Chain wise MEAN vs MPV Variations

  19. End of 1st Step

  20. 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 c2 For each cell, there will be one gain factor. There might be SM to SM gain variation.

  21. GAIN RMS Variations

  22. MPV Variations MEAN Variations

  23. MPV Variations MEAN Variations

  24. MPV vs MEAN Variations

  25. MPV vs MEAN Variations

  26. MPV vs MEAN Variations

  27. Step 3rd After Gain calibration, we do the clustering A photon when hits the lead convertor in front of the preshowerplane, 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

  28. Total Cluster in PMD Cluster ADC Distribution

  29. Eta Distribution Phi Distribution

  30. Nano-Dst file Event Number TriggerId Cluster Eta Tracks Cluster Phi Vertex Information Cluster ADC Number of Cluster Cluster Sigma Reference Multiplicity Pmd Hits

  31. To Do List Making Nano-Dst Files for whole data Do physics analysis(dN/d, Limiting fragmentation etc.) Your suggestions

  32. Simulation Studies of CuCu 62.4 GeV

  33. 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.

  34. Isolated Cell Energy Distribution Cu+Cu 62.4 GeV Au+Au 62.4 GeV

  35. Photon Counting Efficiency and Purity All Detectors All Detectors 0-10% 50-60% 0-10% 50-60%

  36. Photon Counting Efficiency and Purity All Detectors All Detectors 0-10% 0-10% 50-60% 50-60%

  37. Efficiency and Purity 0-10% 50-60% 0-10% 50-60%

  38. Optimizing Mip Cut

  39. 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

  40. Photon Pseudorapidity Distribution (dn/d) Cu+Cu 62.4 GeV

  41. Thanks to Dr. Zubayer Ahammed and Dr. S. Chattopadhyay For a continuous help and discussion to do above works. Thanks to all STAR PMD Collaborators

  42. Percentage (%) of Split Cluster

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