Results 51 to 60 of about 6,050,424 (293)

Segmented Polar Motion Prediction Based on Varying Effective Angular Momentum Forecast Horizons

open access: yesUniverse
Polar motion (PM), a key component of Earth orientation parameters (EOPs), is essential for high-precision satellite orbit determination and deep-space navigation.
Yangyang Cui   +7 more
doaj   +1 more source

Justifying the naive partonic sum rule for proton spin

open access: yesPhysics Letters B, 2015
We provide a theoretical basis for understanding the spin structure of the proton in terms of the spin and orbital angular momenta of free quarks and gluons in Feynman's parton picture.
Xiangdong Ji, Jian-Hui Zhang, Yong Zhao
doaj   +1 more source

QCD resummation of dijet azimuthal decorrelations in pp and pA collisions

open access: yesJournal of High Energy Physics, 2023
We study the azimuthal angular decorrelations of dijet production in both proton-proton (pp) and proton-nucleus (pA) collisions. By utilizing soft-collinear effective theory, we establish the factorization and resummation formalism at the next-to-leading
Mei-Sen Gao   +4 more
doaj   +1 more source

Effect of Orbital Angular Momentum on Nondiffracting Ultrashort Optical Pulses [PDF]

open access: yesPhysical Review Letters, 2015
We introduce a new class of nondiffracting optical pulses possessing orbital angular momentum. By generalizing the X-waves solution of the Maxwell equation, we discover the coupling between angular momentum and the temporal degrees of freedom of ultra-short pulses.
Marco, Ornigotti   +2 more
openaire   +5 more sources

Study of the propagation and detection of the orbital angular momentum of light for astrophysical applications [PDF]

open access: yes, 2013
The aim of this work is to study the propagation of orbital angular momentum (OAM) of light for astrophysical applications and a method for OAM detection with optical telescopes. The thesis deals with the study of the orbital angular momentum (OAM) as a
Sponselli, Anna
core  

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

Dynamics of Charged Particles Moving around Kerr Black Hole with Inductive Charge and External Magnetic Field

open access: yesUniverse, 2021
We mainly focus on the effects of small changes of parameters on the dynamics of charged particles around Kerr black holes surrounded by an external magnetic field, which can be considered as a tidal environment.
Xin Sun   +5 more
doaj   +1 more source

The Effect of Turbulence on the Angular Momentum of the Solar Wind

open access: yesThe Astrophysical Journal Letters
Abstract The transfer of a star’s angular momentum to its atmosphere is a topic of considerable and wide-ranging interest in astrophysics. This Letter considers the effect of kinetic and magnetic turbulence on the solar wind’s angular momentum.
Rohit Chhiber   +3 more
openaire   +3 more sources

Effect of a magnetic field on molecule–solvent angular momentum transfer [PDF]

open access: yesThe Journal of Chemical Physics, 2018
Recently it was shown that a molecule rotating in a quantum solvent can be described in terms of the “angulon” quasiparticle [M. Lemeshko, Phys. Rev. Lett. 118, 095301 (2017)]. Here we extend the angulon theory to the case of molecules possessing an additional spin-1/2 degree of freedom and study the behavior of the system in the presence of a static ...
Rzadkowski, Wojciech, Lemeshko, Mikhail
openaire   +3 more sources

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

open access: yesAdvanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara   +8 more
wiley   +1 more source

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