The Optimal use of Segmentation for Sampling Calorimeters

1 code implementation • 2 Oct 2023 • Fernando Torales Acosta, Bishnu Karki, Piyush Karande, Aaron Angerami, Miguel Arratia, Kenneth Barish, Ryan Milton, Sebastián Morán, Benjamin Nachman, Anshuman Sinha

One of the key design choices of any sampling calorimeter is how fine to make the longitudinal and transverse segmentation.

Segmentation

Comparison of Point Cloud and Image-based Models for Calorimeter Fast Simulation

1 code implementation • 10 Jul 2023 • Fernando Torales Acosta, Vinicius Mikuni, Benjamin Nachman, Miguel Arratia, Bishnu Karki, Ryan Milton, Piyush Karande, Aaron Angerami

Score based generative models are a new class of generative models that have been shown to accurately generate high dimensional calorimeter datasets.

Asymmetric jet clustering in deep-inelastic scattering

1 code implementation • 18 Jun 2020 • Miguel Arratia, Yiannis Makris, Duff Neill, Felix Ringer, Nobuo Sato

We propose a new jet algorithm for deep-inelastic scattering (DIS) that accounts for the forward-backward asymmetry in the Breit frame.

High Energy Physics - Phenomenology Nuclear Experiment Nuclear Theory