68 citations · 960 across the 151 of their papers we have counts for
4 papers · 1 filter
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…
Flows for Flows: Morphing one Dataset into another with Maximum Likelihood Estimation
Tobias Golling, Samuel Klein, Radha Mastandrea +2
Many components of data analysis in high energy physics and beyond require morphing one dataset into another. This is commonly solved via reweighting, but there are many advantages…
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…
Quantum Information Science and Technology for Nuclear Physics. Input into U.S. Long-Range Planning, 2023
Douglas Beck, Joseph Carlson, Zohreh Davoudi +98
In preparation for the 2023 NSAC Long Range Plan (LRP), members of the Nuclear Science community gathered to discuss the current state of, and plans for further leveraging opportun…