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This report presents the energy and spatial resolution analysis of HyCal detector system, comparing energy and position resolutions against incident energy and position. It includes information on lead tungstate and lead glass materials, resolution curves, Gaussian fit results, position information, run details, simulation results, and comparison with prototype resolution curves. Key areas discussed include energy clustering histograms, linearity of energy reconstruction, single Gaussian fitting, and simulated X distribution analysis. The findings highlight the importance of studying behavior at cell edges and the need for deep statistic scans.
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Energy and Spatial Resolution of HyCal Liyang Jiang UNCW/CIAE
Energy Resolution • E Resolution vs Incident Energy • E Resolution vs Incident Position • Position Resolution • Position Resolution vs Incident Energy • Position Resolution vs Incident Position
Information of runs for energy resolution • Lead Tungstate • Run number 4280 • Five minutes deep statistic run on PWO cell 1016 • Lead Glass • Run number 4279 • Five minutes deep statistic run on Glass cell 657
Linearity of Energy Reconstruction (Glass) Red lines: 1+/- 3%
Linearity of Energy Reconstruction(PWO) Red lines: 1+/- 1%
Gaussian Fit Results (PWO) Eg=5.47GeV Eg=4.76GeV X (cm) X (cm) Eg=3.09GeV Eg=2.27GeV X (cm) X (cm)
X VS E gamma (PWO) X (cm)
Gaussian Fit Results (Glass) Eg=5.47GeV Eg=4.76GeV Eg=3.09GeV Eg=2.27GeV
Information of runs • Snake Scan runs • PWO: Run 4178 • Row 9 • Lead Glass: Run 4155 • Bottom Row 3 • Because of low statistics, all tagger energy events are included.
Position in EPICS bank • Position information of HyCal is read from EPICS bank • The EventID vs EPICS positon plots are fitted linearly to calculate the position of events without EPICS bank
Comparison to Prototype Resol. Curve 1 cell unit≈2 cm
A Simple Simulation • Simulate the distribution of X reconstructed with different resolution curves.
X reconstructed comparison Experiment Simulation
Summary • This work provided the Resolution curves of σE vs E, σX vs E and σX vs X. • The σX vs X curve’s behavior at the edge of cells should be studied in detail • σE vs X curve need a deep statistic scan.