6 papers
CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation
Claudius Krause, Michele Faucci Giannelli, Gregor Kasieczka +66
We present the results of the "Fast Calorimeter Simulation Challenge 2022" - the CaloChallenge. We study state-of-the-art generative models on four calorimeter shower datasets of i…
A Generalisable Generative Model for Multi-Detector Calorimeter Simulation
Piyush Raikwar, Anna Zaborowska, Peter McKeown +3
Collider experiments, such as those at the Large Hadron Collider, use the Geant4 toolkit to simulate particle-detector interactions with high accuracy. However, these experiments i…
Sparse Sensor Allocation for Inverse Problems of Detecting Sparse Leaking Emission Sources
Xinchao Liu, Youngdeok Hwang, Dzung Phan +3
This paper investigates the sparse optimal allocation of sensors for detecting sparse leaking emission sources. Because of the non-negativity of emission rates, uncertainty associa…
Optimal Sensor Allocation with Multiple Linear Dispersion Processes
Xinchao Liu, Dzung Phan, Youngdeok Hwang +3
This paper considers the optimal sensor allocation for estimating the emission rates of multiple sources in a two-dimensional spatial domain. Locations of potential emission source…
Reducing data resolution for better super-resolution: Reconstructing turbulent flows from noisy observation
Kyongmin Yeo, MaÅgorzata J. ZimoÅ, Mykhaylo Zayats +1
A super-resolution (SR) method for the reconstruction of Navier-Stokes (NS) flows from noisy observations is presented. In the SR method, first the observation data is averaged ove…
Cascading Failure Prediction via Causal Inference
Shiuli Subhra Ghosh, Anmol Dwivedi, Ali Tajer +2
Causal inference provides an analytical framework to identify and quantify cause-and-effect relationships among a network of interacting agents. This paper offers a novel framework…