Conveners
AI/ML for ePIC and Beyond
- Derek Anderson (Iowa State University)
- Anselm Vossen (member@duke.edu;faculty@duke.edu)
Successful realization of EIC scientific program requires designing
and constructing high-performance particle detectors. Recent
developments in the field of scientific computing and increased
availability of high performance computing resources have made it
possible to perform optimization of multi-parameter designs, even when
the latter require longer computational times (for example...
Quasi-real photoproduction measurements at the Electron Ion Collider will require a far backward electron tagger to detect electrons scattered at small angles close to the beam line. A high occupancy is expected in the electron tagger, leading to many possible permutations of hits deposited by the electrons into single electron tracks. To avoid a slow and computationally expensive...
One of the key design choices of any sampling calorimeter is how fine to make the longitudinal and
transverse segmentation. To inform this choice, we study the impact of calorimeter segmentation
on energy reconstruction. To ensure that the trends are due entirely to hardware and not to a sub-
optimal use of segmentation, we deploy deep neural networks to perform the reconstruction....
