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First simultaneous measurement of the γ-ray and neutron emission probabilities in inverse kinematics at a heavy-ion storage ring
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Brains in space: impact of microgravity and cosmic radiation on the CNS during space exploration
No full textAbsolute Rate Coefficients for Dielectronic Recombination of Sodium-like Iron Ions: Experiment and Theory
No full textSingly differential cross section in the generalized binary-encounter-Bethe model for electron impact ionization of polyatomic molecules
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Geoff: The generic optimization framework & frontend for particle accelerator controls
No full textGeoff is a collection of Python packages that form a framework for automation of particle accelerator controls. With particle accelerator laboratories around the world researching machine learning techniques to improve accelerator performance and uptime, a multitude of approaches and algorithms have emerged. The purpose of Geoff is to harmonize these approaches and to minimize friction when comparing or migrating between them. It provides standardized interfaces for optimization problems, utility functions to speed up development, and a reference GUI application that ties everything together. Geoff is an open-source library developed at CERN and maintained and updated in collaboration between CERN and GSI as part of the EURO-LABS project. This paper gives an overview over Geoff’s design, features, and current usage
