The BSM-AI project: SUSY-AI–generalizing LHC limits on supersymmetry with machine learning
Eur. Phys. J. C, 77 4 (2017) 257
DOI: https://doi.org/10.1140/epjc/s10052-017-4814-9
Download citation
Open calls for papers
-
EPJ ST Special Issue: Challenges in Nanoscale Physics of Wetting Phenomena
-
EPJ ST Special Issue: Elko and Mass Dimension One Fermions
-
EPJA Topical Issue: Light clusters in nuclei and nuclear matter: Nuclear structure and decay, heavy ion collisions, and astrophysics
-
EPJ D Topical Issue: Atomic Cluster Collisions (2019)
-
EPJ Quantum Technology: Special Issue on Quantum Metrology & Quantum Enhanced Measurement
-
EPJ D Topical Issue: Topological Ultracold Atoms and Photonic Systems
-
EPJ ST Special Issue: Special Chaotic Systems
-
EPJB: Topical Issue on Advances in Quasi-Periodic and Non-Commensurate Systems
-
EPJ D Topical Issue: Quantum Technologies for Gravitational Physics
-
EPJ ST Special Issue: Modeling and simulation of heat/mass transport, nucleation and growth kinetics in phase transformations
-
EPJB: Topical Issue on Recent Advances in the Theory of Disordered Systems
-
EPJ ST Special Issue: Nonextensive Statistical Mechanics, Superstatistics and Beyond: Theory and Applications in Astrophysical and Other Complex Systems
-
EPJ Quantum Technology: Special issue on Quantum Magnetometers
-
EPJE Topical Issue: Dielectric Spectroscopy Applied to Soft Matter
-
EPJA Topical Issue: First joint gravitational wave and electromagnetic observations: Implications for nuclear and particle physics
-
EPJ Data Science: Thematic series on human mobility
-
EPJ Techniques and Instrumentation: Thematic Series on Novel Plasma Diagnostics