Results 71 to 80 of about 16,614 (261)

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

Modern particle physics event generation with WHIZARD14

, 2014
We describe the multi-purpose Monte-Carlo event generator WHIZARD for the simulation of high-energy particle physics experiments. Besides the presentation of the general features of the program like SM physics, BSM physics, and QCD effects, special emphasis will be given to the support of the most accurate simulation of the collider environments at ...
Reuter, J., Bach, F., Nejad, B. Chokoufe, Kilian, W., Ohl, T., Sekulla, M., Weiss, C.   +6 more
openaire   +1 more source

End-to-end simulation of particle physics events with flow matching and generator oversampling

Machine Learning: Science and Technology
Abstract The simulation of high-energy physics collision events is a key element for data analysis at present and future particle accelerators. The comparison of simulation predictions to data allows looking for rare deviations that can be due to new phenomena not previously observed.
F Vaselli, F Cattafesta, P Asenov, A Rizzi   +3 more
openaire   +4 more sources

EBSD Study of Creep‐Induced Lattice Misorientation in MgO‐Particle‐Reinforced Austenitic Steel Composites

Advanced Engineering Materials, EarlyView.
Creep experiments at 900°C on coarse‐grained steel‐ceramic composites containing recycled magnesia reveal that higher ceramic volume fractions significantly enhance the creep resistance. Detailed EBSD investigations identify subgrain formation in the steel matrix as the dominant deformation mechanism.
Moritz Müller, Amaya Compart, Mahnaz Mehdizadehlima, Serhii Yaroshevskyi, Christos G. Aneziris, Horst Biermann, Anja Weidner   +6 more
wiley   +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, Peter Galler, Philip Harris, Michael Spannowsky   +3 more
doaj   +1 more source

Influence of an Argon/Silane Atmosphere on the Temperature of a Thermal Plasma

Advanced Engineering Materials, EarlyView.
The influence of a silane‐doped argon atmosphere on the chemical composition and temperature of a thermal nontransferring argon plasma is investigated using optical emission spectroscopy. As a result of the high amount of free electrons resulting from the stepwise ionization and dissociation of the silane molecule, even a silane addition of 0.01 vol ...
Lena Kreie, David Kramer, Thomas Scheithauer, Hans Jürgen Maier, Thomas Hassel   +4 more
wiley   +1 more source

SPECTROSCOPIC AND PHYSICAL PROPERTIES OF ATMOSPHERIC AEROSOL PARTICLES DURING HIGH-POLLUTION EVENTS IN SOUTHERN CALIFORNIA

, 2023
High pollution events like biomass burning and fireworks are short lived but produce large amounts of atmospheric aerosol particulate matter that may affect human health and the Earth’s climate. Measuring spectroscopic properties of the particles, such as the refractive index of the particles, is important to better understand their impact on Earth’s ...
openaire   +1 more source

3D‐Printed Giant Magnetoresistive (GMR) Sensors Based on Self Compliant Springs

Advanced Engineering Materials, EarlyView.
This work explores 3D‐printed GMR sensors utilizing self‐compliant spring structures and conductive PLA composites. By optimizing arm width, we achieved high piezoresistive (0.34%/mm) and magnetoresistive (0.77%/mT) sensitivities. Demonstrated through Bluetooth‐integrated pressure and magnetic position sensing, these full printed low‐cost, customizable
Josu Fernández Maestu, Nelson Pereira, Javier Vicente, Carmen Rial Tubio, Senentxu Lanceros‐Méndez   +4 more
wiley   +1 more source

TrackHHL: A Quantum Computing Algorithm for Track Reconstruction at the LHCb [PDF]

EPJ Web of Conferences
In the future high-luminosity LHC era, high-energy physics experiments face unprecedented computational challenges for event reconstruction. Employing the LHCb vertex locator as a case study we investigate a novel approach for charged particle track ...
Chiotopoulos Xenofon, Lucio Martinez Miriam, Nicotra Davide, de Vries Jacco A., Driessens Kurt, Merk Marcel, Winands Mark H.M.   +6 more
doaj   +1 more source

Handbook of Establishing and Maintaining Oxygen‐Free Atmospheres

Advanced Engineering Materials, EarlyView.
This study presents a practical framework for creating oxygen‐free atmospheres at ambient pressure using silane‐doped inert gases. The results show that ultra‐low oxygen levels and strongly reduced water content can be achieved through controlled silane dosing, drying systems, and sensor monitoring.
Sascha Jan Zimmermann, René Gustus, Lienhard Wegewitz, Wolfgang Maus‐Friedrichs   +3 more
wiley   +1 more source