2 citations · 3 across the 2 of their papers we have counts for
2 papers
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…
cs.LG2023★ 2 cited
Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation
Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman +5
Score based generative models are a new class of generative models that have been shown to accurately generate high dimensional calorimeter datasets. Recent advances in generative…