Results 21 to 30 of about 4,274 (296)

AdS superprojectors

open access: yesJournal of High Energy Physics, 2021
Within the framework of N $$ \mathcal{N} $$ = 1 anti-de Sitter (AdS) supersymmetry in four dimensions, we derive superspin projection operators (or superprojectors). For a tensor superfield V α m α ⋅ n ≔ V α 1 … αm α ⋅ 1 … α ⋅ n $$ {\mathfrak{V}}_{\alpha
E. I. Buchbinder   +3 more
doaj   +1 more source

Gluino-SUGRA scenarios in light of FNAL muon g – 2 anomaly

open access: yesJournal of High Energy Physics, 2021
Gluino-SUGRA ( g ~ $$ \overset{\sim }{g} $$ SUGRA), which is an economical extension of the predictive mSUGRA, adopts much heavier gluino mass parameter than other gauginos mass parameters and universal scalar mass parameter at the unification scale.
Zhuang Li   +4 more
doaj   +1 more source

Numerical Simulations of Seaplane Ditching on Calm Water and Uniform Water Current Coupled with Wind

open access: yesJournal of Marine Science and Engineering
In this paper, the ditching performance of a seaplane model on calm water and a uniform water current coupled with wind was numerically investigated. The overset grid technique was applied to treat the large amplitude of the body motions of the seaplane ...
Ruosi Zha   +4 more
doaj   +1 more source

Search for higgsinos decaying to two Higgs bosons and missing transverse momentum in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV

open access: yesJournal of High Energy Physics, 2022
Results are presented from a search for physics beyond the standard model in proton-proton collisions at s $$ \sqrt{s} $$ = 13 TeV in channels with two Higgs bosons, each decaying via the process H → b b ¯ $$ \overline{\mathrm{b}} $$ , and large missing ...
The CMS collaboration   +2360 more
doaj   +1 more source

Probing compressed higgsinos with forward protons at the LHC

open access: yesJournal of High Energy Physics, 2022
Supersymmetric models with nearly-degenerate light higgsinos provide a consistent solution to the naturalness problem under rigorous constraints from current experimental searches for sparticles.
Hang Zhou, Ning Liu
doaj   +1 more source

A user`s guide for BREAKUP: A computer code for parallelizing the overset grid approach [PDF]

open access: yes, 1998
In this user`s guide, details for running BREAKUP are discussed. BREAKUP allows the widely used overset grid method to be run in a parallel computer environment to achieve faster run times for computational field simulations over complex geometries.
Barnette, D. W.
core   +1 more source

Modeling Hypersonic Flow over a Spiked Blunt Body Using Adaptive Mesh Refinement on an Overset Grid [PDF]

open access: yesJournal of Applied Fluid Mechanics
In comparison to conventional single-grid methods, grid-adaptive overset techniques offer a strong, flexible, and efficient solution approach for computational fluid dynamics in the modeling of flows with complex interactions.
M. El Hajj Ali Barada, B. Celik
doaj   +1 more source

Overset Grid Assembler and Flow Solver with Adaptive Spatial Load Balancing

open access: yesApplied Sciences, 2021
An overset mesh approach is useful for unsteady flow problems which involve components moving relative to each other. Since the generation of a single mesh around all components is prone to mesh stretching due to the relative motion of bodies, using the ...
Orxan Shibliyev, Ibrahim Sezai
doaj   +1 more source

Two-dimensional unsteady Navier-Stokes solution method with moving overset grids

open access: yes, 1997
A simple numerical algorithm to localize intergrid boundary points and to interpolate unsteady solution variables across two-dimensional, structured overset grids is presented. Overset grids are allowed to move in time relative to each other.
Tuncer, İSMAİL HAKKI
core   +2 more sources

dynoGP: Deep Gaussian Processes for Dynamic System Identification

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This work introduces a novel class of deep models for system identification, dynamical deep Gaussian processes, which combine the strengths of data‐driven methods, such as those based on neural network architectures, with the ability to output a probability distribution for uncertainty representation.
Alessio Benavoli   +3 more
wiley   +1 more source

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