Lukas Layer
Publications by Year
Research Areas
Particle physics theoretical and experimental studies, High-Energy Particle Collisions Research, Particle Detector Development and Performance, Computational Physics and Python Applications, Neutrino Physics Research
Most-Cited Works
- → Toward the end-to-end optimization of particle physics instruments with differentiable programming(2023)42 cited
- → Toward Machine Learning Optimization of Experimental Design(2021)25 cited
- → Clustering of Experimental Seismo-Acoustic Events Using Self-Organizing Map (SOM)(2021)16 cited
- → Changes in the Eruptive Style of Stromboli Volcano before the 2019 Paroxysmal Phase Discovered through SOM Clustering of Seismo-Acoustic Features Compared with Camera Images and GBInSAR Data(2022)11 cited
- → Calorimetric Measurement of Multi-TeV Muons via Deep Regression(2022)10 cited
- → Toward the End-to-End Optimization of Particle Physics Instruments with Differentiable Programming: a White Paper(2022)8 cited
- → Automatic log analysis with NLP for the CMS workflow handling(2020)6 cited
- → Deep Regression of Muon Energy with a K-Nearest Neighbor Algorithm(2022)2 cited
- → Variations of Stromboli activity related to the 2019 paroxysmal phase revealed by SOM clustering of seismo-acoustic data and its comparison with video recordings and GBInSAR measurements (2022)2 cited
- → Preprocessed Dataset for ``Calorimetric Measurement of Multi-TeV Muons via Deep Regression"(2021)1 cited