Alert button
Picture for Andreas Adelmann

Andreas Adelmann

Alert button

Fast Uncertainty Quantification of Spent Nuclear Fuel with Neural Networks

Aug 16, 2023
Arnau Albà, Andreas Adelmann, Lucas Münster, Dimitri Rochman, Romana Boiger

Viaarxiv icon

Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression

Mar 15, 2023
Sichen Li, Jochem Snuverink, Fernando Perez-Cruz, Andreas Adelmann

Figure 1 for Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Figure 2 for Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Figure 3 for Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Figure 4 for Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression
Viaarxiv icon

Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators

Sep 21, 2022
Sichen Li, Andreas Adelmann

Figure 1 for Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Figure 2 for Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Figure 3 for Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Figure 4 for Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators
Viaarxiv icon

New directions for surrogate models and differentiable programming for High Energy Physics detector simulation

Mar 15, 2022
Andreas Adelmann, Walter Hopkins, Evangelos Kourlitis, Michael Kagan, Gregor Kasieczka, Claudius Krause, David Shih, Vinicius Mikuni, Benjamin Nachman, Kevin Pedro, Daniel Winklehner

Figure 1 for New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Figure 2 for New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Figure 3 for New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Figure 4 for New directions for surrogate models and differentiable programming for High Energy Physics detector simulation
Viaarxiv icon

A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators

Feb 01, 2021
Sichen Li, Mélissa Zacharias, Jochem Snuverink, Jaime Coello de Portugal, Fernando Perez-Cruz, Davide Reggiani, Andreas Adelmann

Figure 1 for A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Figure 2 for A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Figure 3 for A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Figure 4 for A Novel Approach for Classification and Forecasting of Time Series in Particle Accelerators
Viaarxiv icon