3 Works

Lattice Optics Optimization for Recirculatory Energy Recovery Linacs with Multi-Objective Optimization

Isurumali Neththikumara, Todd Satogata, Alex Bogacz, Ryan Bodenstein & Arthur Vandenhoeke
Beamline optics design for recirculatory linear accelerators requires special attention to suppress beam instabilities arising due to collective effects. The impact of these collective effects becomes more pronounced with the addition of energy recovery (ER) capability. Jefferson Lab’s multi-pass, multi-GeV ER proposal for the CEBAF accelerator, ER@CEBAF, is a 10- pass ER demonstration with low beam current. Tighter control of the beam parameters at lower energies is necessary to avoid beam break-up (BBU) instabilities, even...

Point Cloud-based Mapper for QCD Analysis

Tareq Alghamdi, Yasir Alanaz, Manal Almaeen, Nobuo Sato & Yaohang Li
In many scientific applications, Inverse problems are challenging. An inverse problem is the process of inferring unknown parameters from observable ones. In this poster, we present our prototype using Point Cloud-based Variational Autoencoder mapping. Data that connects parameters to detector level events is used to train the proposed model. A point cloud is used to describe a series of events that keeps the permutation invariant property and geometric correlations of the events while being flexible...

A Machine Learning Approach to Denoising Particle Detector Observations in Nuclear Physics

Polykarpos Thomadakis, Angelos Angelopoulos, Gagik Gavalian & Nikos Chrisochoides
With the evolution in detector technologies and electronic components used in the Nuclear Physics field, experimental setups become larger and more complex. Faster electronics enable particle accelerator experiments to run with higher beam intensity, providing more interactions per time and more particles per interaction. However, the increased beam intensities present a challenge to particle detectors because of the higher amount of noise and uncorrelated signals. Higher noise levels lead to a more challenging particle reconstruction...

Registration Year

  • 2022

Resource Types

  • Text


  • Thomas Jefferson National Accelerator Facility
  • Old Dominion University