Search Results for author: Junze Liu

Found 5 papers, 0 papers with code

Machine Learning-Enhanced Prediction of Surface Smoothness for Inertial Confinement Fusion Target Polishing Using Limited Data

no code implementations16 Dec 2023 Antonios Alexos, Junze Liu, Akash Tiwari, Kshitij Bhardwaj, Sean Hayes, Pierre Baldi, Satish Bukkapatnam, Suhas Bhandarkar

In Inertial Confinement Fusion (ICF) process, roughly a 2mm spherical shell made of high density carbon is used as target for laser beams, which compress and heat it to energy levels needed for high fusion yield.

Generalizing to new geometries with Geometry-Aware Autoregressive Models (GAAMs) for fast calorimeter simulation

no code implementations19 May 2023 Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

Generation of simulated detector response to collision products is crucial to data analysis in particle physics, but computationally very expensive.

Geometry-aware Autoregressive Models for Calorimeter Shower Simulations

no code implementations16 Dec 2022 Junze Liu, Aishik Ghosh, Dylan Smith, Pierre Baldi, Daniel Whiteson

Calorimeter shower simulations are often the bottleneck in simulation time for particle physics detectors.

Position

Deep-Learning-Based Kinematic Reconstruction for DUNE

no code implementations11 Dec 2020 Junze Liu, Jordan Ott, Julian Collado, Benjamin Jargowsky, Wenjie Wu, Jianming Bian, Pierre Baldi

To precisely reconstruct these kinematic characteristics of detected interactions at DUNE, we have developed and will present two CNN-based methods, 2-D and 3-D, for the reconstruction of final state particle direction and energy, as well as neutrino energy.

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