Potential structure around the Cassini spacecraft near the orbit of Enceladus

2010 ◽  
Vol 17 (10) ◽  
pp. 102904 ◽  
Author(s):  
J. Olson ◽  
W. J. Miloch ◽  
S. Ratynskaia ◽  
V. Yaroshenko
Keyword(s):  
Potential Structure ◽  
Cassini Spacecraft

scholarly journals Bulk and Confined Benzene-Cyclohexane Mixtures Studied by an Integrated Total Neutron Scattering and NMR Method

2021 ◽  
Author(s):  
Terri-Louise Hughes ◽  
Marta Falkowska ◽  
Markus Leutzsch ◽  
Andrew J. Sederman ◽  
Mick D. Mantle ◽  
...  
Keyword(s):  
Neutron Scattering ◽  
Structure Refinement ◽  
Computational Simulation ◽  
Liquid Mixtures ◽  
Coordination Shell ◽  
Bulk Liquid ◽  
Total Neutron ◽  
Time Resolved ◽  
Sample Composition ◽  
Potential Structure

AbstractHerein mixtures of cyclohexane and benzene have been investigated in both the bulk liquid phase and when confined in MCM-41 mesopores. The bulk mixtures have been studied using total neutron scattering (TNS), and the confined mixtures have been studied by a new flow-utilising, integrated TNS and NMR system (Flow NeuNMR), all systems have been analysed using empirical potential structure refinement (EPSR). The Flow NeuNMR setup provided precise time-resolved chemical sample composition through NMR, overcoming the difficulties of ensuring compositional consistency for computational simulation of data ordinarily found in TNS experiments of changing chemical composition—such as chemical reactions. Unique to the liquid mixtures, perpendicularly oriented benzene molecules have been found at short distances from the cyclohexane rings in the regions perpendicular to the carbon–carbon bonds. Upon confinement of the hydrocarbon mixtures, a stronger parallel orientational preference of unlike molecular dimers, at short distances, has been found. At longer first coordination shell distances, the like benzene molecular spatial organisation within the mixture has also found to be altered upon confinement.

LMI multiplierKm/μ-analysis of the Cassini spacecraft

1998 ◽  
Vol 8 (2) ◽  
pp. 155-168 ◽  
Author(s):  
J. H. Ly ◽  
R. Y. Chiang ◽  
K. C. Goh ◽  
M. G. Safonov
Keyword(s):  
Cassini Spacecraft

Earliest recorded ground-based decameter wavelength observations of Saturn’s lightning during the giant E-storm detected by Cassini spacecraft in early 2006

Icarus ◽  
2013 ◽  
Vol 224 (1) ◽  
pp. 14-23 ◽  
Author(s):  
A.A. Konovalenko ◽  
N.N. Kalinichenko ◽  
H.O. Rucker ◽  
A. Lecacheux ◽  
G. Fischer ◽  
...  
Keyword(s):  
Decameter Wavelength ◽  
Cassini Spacecraft

scholarly journals Preserving Ordinal Consensus: Towards Feature Selection for Unlabeled Data

2020 ◽  
Vol 34 (01) ◽  
pp. 75-82
Author(s):  
Jun Guo ◽  
Heng Chang ◽  
Wenwu Zhu
Keyword(s):  
Feature Selection ◽  
Unlabeled Data ◽  
Complex Samples ◽  
Noisy Information ◽  
Alternating Minimization Algorithm ◽  
Relative Proximity ◽  
Potential Structure ◽  
Benchmark Datasets ◽  
New Type ◽  
Induced Graph

To better pre-process unlabeled data, most existing feature selection methods remove redundant and noisy information by exploring some intrinsic structures embedded in samples. However, these unsupervised studies focus too much on the relations among samples, totally neglecting the feature-level geometric information. This paper proposes an unsupervised triplet-induced graph to explore a new type of potential structure at feature level, and incorporates it into simultaneous feature selection and clustering. In the feature selection part, we design an ordinal consensus preserving term based on a triplet-induced graph. This term enforces the projection vectors to preserve the relative proximity of original features, which contributes to selecting more relevant features. In the clustering part, Self-Paced Learning (SPL) is introduced to gradually learn from ‘easy’ to ‘complex’ samples. SPL alleviates the dilemma of falling into the bad local minima incurred by noise and outliers. Specifically, we propose a compelling regularizer for SPL to obtain a robust loss. Finally, an alternating minimization algorithm is developed to efficiently optimize the proposed model. Extensive experiments on different benchmark datasets consistently demonstrate the superiority of our proposed method.

scholarly journals Structure of Aqueous RbCl and CsCl Solutions Using X-Ray Scattering and Empirical Potential Structure Refinement Modelling

2018 ◽  
Vol 34 (5) ◽  
pp. 483-491 ◽  
Author(s):  
Yongquan ZHOU ◽  
◽  
Yoshie SOGA ◽  
Toshio YAMAGUCHI ◽  
Yan FANG ◽  
...  
Keyword(s):  
Structure Refinement ◽  
X Ray ◽  
Empirical Potential ◽  
X Ray Scattering ◽  
Potential Structure ◽  
Ray Scattering

Magnetic Field Aligned Potentials as an Acceleration Mechanism at Jupiter

2021 ◽  
Author(s):  
Dave Constable ◽  
Licia Ray ◽  
Sarah Badman ◽  
Chris Arridge ◽  
Chris Lorch ◽  
...  
Keyword(s):  
Magnetic Field ◽  
Temporal Evolution ◽  
Charged Particles ◽  
Uniform Mesh ◽  
Time Varying ◽  
Potential Structure ◽  
Field Aligned Current ◽  
Field Lines ◽  
The Magnetic Field ◽  
Insight Into

<p>Since arriving at Jupiter, Juno has observed instances of field-aligned proton and electron beams, in both the upward and downward current regions. These field-aligned beams are identified by inverted-V structures in plasma data, which indicate the presence of potential structures aligned with the magnetic field. The direction, magnitude and location of these potential structures is important, as it affects the characteristics of any resultant field-aligned current. At high latitudes, Juno has observed potentials of 100’s of kV occurring in both directions. Charged particles that are accelerated into Jupiter’s atmosphere and precipitate can excite aurora; likewise, particles accelerated away from the planet can contribute to the population of the magnetosphere.</p> <p>Using a time-varying 1-D spatial, 2-D velocity space Vlasov code, we examine magnetic field lines which extend from Jupiter into the middle magnetosphere. By applying and varying a potential difference at the ionosphere, we can gain insight into the effect these have on the plasma population, the potential structure, and plasma densities along the field line. Utilising a non-uniform mesh, additional resolution is applied in regions where particle acceleration occurs, allowing the spatial and temporal evolution of the plasma to be examined. Here, we present new results from our model, constrained, and compared with recent Juno observations, and examining both the upward and downward current regions.</p>

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