Bulletin of the American Physical Society
Fall 2022 Meeting of the APS Division of Nuclear Physics
Volume 67, Number 17
Thursday–Sunday, October 27–30, 2022; Time Zone: Central Daylight Time, USA; New Orleans, Louisiana
Session LM: Undergraduate Research II
2:00 PM–3:36 PM,
Saturday, October 29, 2022
Hyatt Regency Hotel
Room: Imperial 9
Chair: Riccardo Longo, University of Illinois at Urbana-Champai
Abstract: LM.00003 : Optimization of Air Light Guides for New ATLAS and CMS Zero Degree Calorimeters for LHC High Luminosity Operations*
2:24 PM–2:36 PM
Presenter:
Samantha R Lund
(University of Illinois at Urbana-Champai)
Authors:
Samantha R Lund
(University of Illinois at Urbana-Champai)
Matthias Perdekamp
(University of Illinois at Urbana-Champaign)
Riccardo Longo
(University of Illinois at Urbana-Champai)
Paul D Malachuk
(University of Illinois at Urbana-Champai)
Benjamin Liu
(University of Illinois at Urbana-Champaign)
Chad Lantz
(University of Illinois at Urbana-Champaign)
Aric C Tate
(University of Illinois at Urbana-Champign)
The University of Illinois at Urbana-Champaign leads the joint upgrade effort for the next generation of ATLAS and CMS ZDCs. The ZDC is a sampling calorimeter using tungsten absorbers, radiation hard fused-silica Cherenkov radiators, and photomultiplier tubes (PMTs) for light conversion into analog electric signals. The detector uses reflective air Light Guides (LG) to transport Cherenkov light from the fused silica radiators to the PMT entrance windows. Optimizing the efficiency and acceptance uniformity for the light transport is an important goal for the final HL-ZDC design.
In this contribution, we study different LG designs for use in the Electromagnetic and Hadronic sections of the HL-ZDC. We will present the results for light transport efficiency and acceptance uniformity for LGs of different geometries both from simulations and measurements. Experiments are being carried out using a simple test setup for light guides as well a light guides installed in detector prototypes.
*This work is supported by the National Science Foundation, Grant no. NSF PHY-2111046.
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