Effect of L * Changes on Vertex Detector and Forward Calorimeter Performance LCWS 2015

1. Effect of L* Changes on Vertex Detector and Forward Calorimeter Performance LCWS 2015 Whistler, BC, Canada November 2-6 2015 Bruce Schumm UCSC/SCIPP

2. The SCIPP Simulation Group Christopher Milke, leader George Courcoubetis (graduated) Luc D’Hauthuille Alix Feinsod (Computer Science) Olivia Johnson Jane Shtalenkova All UCSC undergraduates

3. Motivation Original SiD L* was 3.5m (SiDLOI3); in interest of a common ILD/SiD L*, we have explored the effect of increasing this to 4.1m Explored effect on Vertex Detector occupancy and forward calorimeter (BeamCal) performance May be fait accompli at this point but worth noting the effect.

4. Tools GEANT4 implemented via SLIC geometry wrapper SLCIO output analyzed within LCSIM framework L* changes involve moving QD0 and BeamCal (tied together), as well as the forward low-Z mask. The forward M1 mask also needs to be modified (shortened) In addition to changing L*, have also looked at effect of anti-DID field and BeamCal “plug” between incoming and exiting beams Note: For all studies, the IR had been “realigned” to be concentric about the outgoing beamline rather than the z axis (crossing angle!)

5. IR Layout Low-Z Mask M1 Mask BeamCal L* 5

6. BeamCal Face Geometry Options • “plugged” • Wedge cutout • Circle cutout “wedge” cutout Plug Insert plug here “circle” cutout 6

7. Incidence of pair backgrounds on BeamCal with and without “anti-DiD” field BeamCal Face Without anti-DiD With anti-DiD Beam entrance and exit holes 7 Tom Markiewicz, SLAC

8. Tom Markiewicz, SLAC • Conclusion: • The Anti-DID really only helps the plug region between the beam pipes • Without the plug to create secondaries, VXD backgrounds should be LESS with no Anti-DID and radiation dose to BEAMCAL should be less • This study for a BeamCal at 3m, but as exit hole size will scale with distance, should be true regardless of final layout SiD Optimization

9. Performance Studies BeamCal • Explore efficiency vs. radius for identifying XXX GeV electrons • For selection for which 10% of beam crossings mistakenly identify an electron • Factorize into “geometric” and “instrumental” efficiency Vertex Detector • Bunch-by-bunch occupancy per layer • Mean occupancy vs phi (barrel) and R (endcap)

10. Configurations Explored Nominal: L* = 4.1m; no antiDiD; plug in place Then, relative to Nominal: Small L*: L* = 3.5m AntiDID: Include antiDiD field Small L* AntiDID: L* = 3.5m with antiDiD field Wedge: Remove BeamCal plug Circle: Remove additional BeamCal coverage as shown in prior slide.

11. BeamCal Results (C. Milke) 11

12. Circl BeamCal Efficiency vs. Radius “circle” cutout Difference due solely to loss of coverage? 12

13. Much of effect does just seem to be due to loss of coverage, but look in more detail… circle wedge 13

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17. Vertex Detector Results (C. Milke) 17

18. Vertex Detector Configurations We have studied occupancy as a function of two aspects of the VXD readout architecture • Pixel size • 15 x 15 m2 d • 30 x 30 m2d • Integration time • 1 beam crossing • 5 beam crossings 18

19. Nominal IR Geometry Occupancy Distributions (Barrel) Stacked histograms! 15 x 15 1 BX 30 x 30 5 BX x10-3 x10-3 19

20. Nominal IR Geometry Occupancy Distributions (Endcap) Stacked histograms! 15 x 15 1 BX 30 x 30 5 BX x10-3 x10-3 20

21. We note that: • Pulse-by-pulse variation is small • Occupancy only appreciable for largest pixel size (30x30) and greatest integration time (5 Bx) • Inner layer (0) dominates occupancy in barrel • Inner layer (0) characteristic of occupancy in endcap • Study IR configuration dependence with layer 0 (both endcap and barrel) for 30x30 pixel integrating over 5 Bx. In terms of: azimuthal dependence in barrel; radial dependence in endcap 21

22. Barrel: Mean Occupancy vs.  x10-4 30 x 30 5 BX 22

23. Endcap: Mean Occupancy vs. R 30 x 30 5 BX 23

24. 30 x 30 5 BX 24

25. 30 x 30 5 BX 25

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