Energy and Spatial Resolution of Hy Cal Liyang

Energy and Spatial Resolution of Hy. Cal Liyang Jiang UNCW/CIAE 1

• Energy Resolution – E Resolution vs Incident Energy – E Resolution vs Incident Position • Position Resolution – Position Resolution vs Incident Energy – Position Resolution vs Incident Position 2

Energy Resolution vs E tagger 3

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 4

Incident Energy distribution 5

E tagger – E cluster Histogram (Glass) 6

Linearity of Energy Reconstruction (Glass) Red lines: 1+/- 3% 7

Ereconstructed/Etagger, show error bars (Glass) 8

Energy Resolution Curve (Glass) 9

E tagger – E cluster Histogram (PWO) 10

Linearity of Energy Reconstruction (PWO) Red lines: 1+/- 1% 11

Ereconstructed/Etagger, show error bars (PWO) 12

Resolution Curve (PWO) 13

Position Resolution vs E tagger 14

Gaussian Fit Results (PWO) Eg=5. 47 Ge. V X (cm) Eg=3. 09 Ge. V X (cm) Eg=4. 76 Ge. V X (cm) Eg=2. 27 Ge. V X (cm) 15

X (cm) X VS E gamma (PWO) 16

X sigma VS E gamma (PWO) 17

Gaussian Fit Results (Glass) Eg=5. 47 Ge. V Eg=3. 09 Ge. V Eg=4. 76 Ge. V Eg=2. 27 Ge. V 18

X VS E gamma (Glass) 19

X sigma VS E gamma (Glass) 20

Position Resolution vs Position 21

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. 22

Position in EPICS bank • Position information of Hy. Cal is read from EPICS bank • The Event. ID vs EPICS positon plots are fitted linearly to calculate the position of events without EPICS bank 23

EPICS Position vs Event ID Run 4178, PWO Row 9 24

EPICS Position vs Event ID Run 4155, Glass Bottom Row 3 25

Single Gaussian Fitting (Glass) 27

Linearity Run 4178, PWO 28

Resolution Curve PWO 29

Linearity Run 4155, Lead Glass 30

Resolution Curve Glass 31

Comparison to Prototype Resol. Curve 1 cell unit≈2 cm 32

A Simple Simulation • Simulate the distribution of X reconstructed with different resolution curves. 33

The Xrecons Distribution (Experimental) 34

Original X (Uniform distribution) 35

Cosine Resolution and Reconstructed X 36

Bottom-Jump Resolution and Reconstructed X 37

X reconstructed comparison Experiment Simulation 38

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. 39