Results 111 to 120 of about 531,669 (333)
Event generation with SHERPA 1.1 [PDF]
, 2008 In this paper the current release of the Monte Carlo event generator Sherpa, version 1.1, is presented. Sherpa is a general-purpose tool for the simulation of particle collisions at high-energy colliders.
T. Gleisberg +6 more
semanticscholar +1 more source
Microfluidic electro‐viscoelastic manipulation of extracellular vesicles
FEBS Open Bio, EarlyView.The electro‐viscoelastic manipulation as a potential method for separation of particles based on size. The particles introduced as a sheath flow migrate to the channel center under the influence of simultaneously applied electric field and pressure driven flow.
Seyedamirhosein Abdorahimzadeh +7 more
wiley +1 more source
Performance Triggered Adaptive Model Reduction for Soil Moisture Estimation in Precision Irrigation
International Journal of Adaptive Control and Signal Processing, EarlyView.ABSTRACT Accurate soil moisture information is essential for precise irrigation to enhance water use efficiency. Estimating soil moisture based on limited soil moisture sensors is especially critical for obtaining comprehensive soil moisture information when dealing with large‐scale agricultural fields.
Sarupa Debnath +4 more
wiley +1 more source
High dimensional parameter tuning for event generators
European Physical Journal C: Particles and Fields, 2020 Monte Carlo Event Generators are important tools for the understanding of physics at particle colliders like the LHC. In order to best predict a wide variety of observables, the optimization of parameters in the Event Generators based on precision data ...
Johannes Bellm, Leif Gellersen
doaj +1 more source
Advanced Biology, EarlyView.Extracellular vesicles (EVs) play a dual role in diagnostics and therapeutics, offering innovative solutions for treating cancer, cardiovascular, neurodegenerative, and orthopedic diseases. This review highlights EVs’ potential to revolutionize personalized medicine through specific applications in disease detection and treatment.
Farbod Ebrahimi +4 more
wiley +1 more source
Recent Results Addressing the KARMEN Timing Anomaly
, 2000 Recent resuls from experiments at Fermilab and the Paul Scherrer Institute have constrained the parameter space available for a hypothetical particle $Q^0$ produced in the decay $\pi^+ \to \mu^+ Q^0$.
Zimmerman, E. D.
core +1 more source
End-to-End Event Classification of High-Energy Physics Data
Journal of Physics: Conference Series, 2018 Feature extraction algorithms, such as convolutional neural networks, have introduced the possibility of using deep learning to train directly on raw data without the need for rule-based feature engineering.
M. Andrews +3 more
semanticscholar +1 more source
Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture
Advanced Engineering Materials, EarlyView.Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee +3 more
wiley +1 more source
Two-particle angular correlations in pp collisions recorded with the ALICE detector at the LHC
EPJ Web of Conferences, 2014 We report on the studies of two-particle angular correlations measured in proton-proton collisions at a center-of-mass energy of √s = 7 TeV recorded by ALICE at the LHC.
Janik Małgorzata
doaj +1 more source
Machine learning uncertainties with adversarial neural networks
European Physical Journal C: Particles and Fields, 2019 Machine Learning is a powerful tool to reveal and exploit correlations in a multi-dimensional parameter space. Making predictions from such correlations is a highly non-trivial task, in particular when the details of the underlying dynamics of a ...
Christoph Englert +3 more
doaj +1 more source