Speaker
Description
The upcoming Electron-Ion Collider (EIC) at Brookhaven National Laboratory will study the quark and gluon contributions to the mass, spin, and dynamics of nuclear structure. The Barrel Imaging Calorimeter (BIC) at the EIC uses a hybrid system that combines high-performance sampling calorimetry based on lead-scintillating fiber (Pb/ScFi) technology with silicon sensors for shower profiling. The calorimeter integrates energy measurements from Pb/ScFi layers with precise particle position information provided by layers of AstroPix sensors. The contributions from the University of Manitoba focus on several aspects of BIC development, including hardware prototyping, clustering algorithms, and physics simulations.
The ScFi layers of the BIC use silicon photomultiplier (SiPM) based readout; therefore, fiber testing with SiPMs is a crucial component of this work. In addition, cluster reconstruction of ScFi hits follows an Island Clustering algorithm, while AstroPix follows an Imaging Topological Clustering algorithm. In this presentation, I will discuss the development of a combined clustering algorithm for both ScFi and AstroPix, as well as fiber testing using both photomultiplier tubes (PMTs) and SiPMs for readout.
| Keyword-1 | Electron Ion Collider |
|---|---|
| Keyword-2 | EIC |