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Andreas Adelmann
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Forecasting Particle Accelerator Interruptions Using Logistic LASSO Regression


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

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* 12 pages, 13 figures 
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Review of Time Series Forecasting Methods and Their Applications to Particle Accelerators


Sep 21, 2022
Sichen Li, Andreas Adelmann

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* 13 pages, 11 figures 
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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

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* contribution to Snowmass 2021 
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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

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