22 citations · 88 across the 25 of their papers we have counts for
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physics.ins-det2023★ 1 cited
The Optimal use of Segmentation for Sampling Calorimeters
Fernando Torales Acosta, Bishnu Karki, Piyush Karande +7
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 calorimete…
physics.data-an2023★ 2 cited
Designing Observables for Measurements with Deep Learning
Owen Long, Benjamin Nachman
Many analyses in particle and nuclear physics use simulations to infer fundamental, effective, or phenomenological parameters of the underlying physics models. When the inference i…