56 research outputs found
Signatures of Secondary Collisionless Magnetic Reconnection Driven by Kink Instability of a Flux Rope
The kinetic features of secondary magnetic reconnection in a single flux rope
undergoing internal kink instability are studied by means of three-dimensional
Particle-in-Cell simulations. Several signatures of secondary magnetic
reconnection are identified in the plane perpendicular to the flux rope: a
quadrupolar electron and ion density structure and a bipolar Hall magnetic
field develop in proximity of the reconnection region. The most intense
electric fields form perpendicularly to the local magnetic field, and a
reconnection electric field is identified in the plane perpendicular to the
flux rope. An electron current develops along the reconnection line in the
opposite direction of the electron current supporting the flux rope magnetic
field structure. Along the reconnection line, several bipolar structures of the
electric field parallel to the magnetic field occur making the magnetic
reconnection region turbulent. The reported signatures of secondary magnetic
reconnection can help to localize magnetic reconnection events in space,
astrophysical and fusion plasmas
Nonlinear evolution of the magnetized Kelvin-Helmholtz instability: from fluid to kinetic modeling
The nonlinear evolution of collisionless plasmas is typically a multi-scale
process where the energy is injected at large, fluid scales and dissipated at
small, kinetic scales. Accurately modelling the global evolution requires to
take into account the main micro-scale physical processes of interest. This is
why comparison of different plasma models is today an imperative task aiming at
understanding cross-scale processes in plasmas. We report here the first
comparative study of the evolution of a magnetized shear flow, through a
variety of different plasma models by using magnetohydrodynamic, Hall-MHD,
two-fluid, hybrid kinetic and full kinetic codes. Kinetic relaxation effects
are discussed to emphasize the need for kinetic equilibriums to study the
dynamics of collisionless plasmas in non trivial configurations. Discrepancies
between models are studied both in the linear and in the nonlinear regime of
the magnetized Kelvin-Helmholtz instability, to highlight the effects of small
scale processes on the nonlinear evolution of collisionless plasmas. We
illustrate how the evolution of a magnetized shear flow depends on the relative
orientation of the fluid vorticity with respect to the magnetic field direction
during the linear evolution when kinetic effects are taken into account. Even
if we found that small scale processes differ between the different models, we
show that the feedback from small, kinetic scales to large, fluid scales is
negligable in the nonlinear regime. This study show that the kinetic modeling
validates the use of a fluid approach at large scales, which encourages the
development and use of fluid codes to study the nonlinear evolution of
magnetized fluid flows, even in the colisionless regime
RECONNECTION AND ELECTRON TEMPERATURE ANISOTROPY IN SUB-PROTON SCALE PLASMA TURBULENCE
Turbulent behavior at sub-proton scales in magnetized plasmas is important
for a full understanding of the energetics of astrophysical flows such as the
solar wind. We study the formation of electron temperature anisotropy due to
reconnection in the turbulent decay of sub-proton scale fluctuations using two
dimensional, particle-in-cell (PIC) plasma simulations with realistic
electron-proton mass ratio and a guide field out of the simulation plane. A
fluctuation power spectrum with approximately power law form is created down to
scales of order the electron gyroradius. In the dynamic magnetic field
topology, which gradually relaxes in complexity, we identify the signatures of
collisionless reconnection at sites of X-point field geometry. The reconnection
sites are generally associated with regions of strong parallel electron
temperature anisotropy. The evolving topology of magnetic field lines connected
to a reconnection site allows spatial mixing of electrons accelerated at
multiple, spatially separated reconnection regions. This leads to the formation
of multi-peaked velocity distribution functions with a strong parallel
temperature anisotropy. In a three-dimensional system, supporting the
appropriate wave vectors, the multi-peaked distribution functions would be
expected to be unstable to kinetic instabilities, contributing to dissipation.
The proposed mechanism of anisotropy formation is also relevant to space and
astrophysical systems where the evolution of the plasma is constrained by
linear temperature anisotropy instability thresholds. The presence of
reconnection sites leads to electron energy gain, nonlocal velocity space
mixing and the formation of strong temperature anisotropy; this is evidence of
an important role for reconnection in the dissipation of turbulent
fluctuations.Comment: 27 pages, 14 figures. Accepted for publication in ApJ, Jan 3, 201
Scalable Impairment-Aware Anycast Routing in Multi-Domain Optical Grid Networks
ABSTRACT In optical Grid networks, the main challenge is to account for not only network parameters, but also for resource availability. Anycast routing has previously been proposed as an effective solution to provide job scheduling services in optical Grids, offering a generic interface to access Grid resources and services. The main weakness of this approach is its limited scalability, especially in a multi-domain scenario. This paper proposes a novel anycast proxy architecture, which extends the anycast principle to a multi-domain scenario. The main purpose of the architecture is to perform aggregation of resource and network states, and as such improve computational scalability and reduce control plane traffic. Furthermore, the architecture has the desirable properties of allowing Grid domains to maintain their autonomy and hide internal configuration details from other domains. Finally, we propose an impairment-aware anycast routing algorithm that incorporates the main physical layer characteristics of large-scale optical networks into its path computation process. By integrating the proposed routing scheme into the introduced architecture we demonstrate significant network performance improvements. Keywords: Grid computing, routing algorithms, optical networks, physical impairments, anycast routing. INTRODUCTION Today, the need for network systems to support storage and computing services for science and business, is often satisfied by relatively isolated computing infrastructure (clusters). Migration to truly distributed and integrated applications requires optimization and (re)design of the underlying network technology to create a Grid platform for the cost and resource efficient delivery of network services with substantial data transfer, processing power and/or data storage requirements. Optical networks offer an undeniable potential for the Grid, given their proven track-record in the context of high-speed, long-haul, networking. Not only eScience applications dealing with large experimental data sets (e.g. particle physics) but also business/consumer oriented applications can benefit from optical Grid infrastructure [1]: both the high data rates typical of eScience applications and the low latency requirements of consumer/business applications (cf. interactivity) can effectively be addressed. When using transparent WDM as such network technology, signals are transported end-to-end optically without being converted to the electrical domain in between. Connection provisioning of all-optical connections (lightpaths) between source and destination nodes is based on specific routing and wavelength assignment algorithms (RWA). Traditional RWA schemes only account for network conditions such as connectivity and available capacity, without considering physical layer details. However, in transparent optical networks covering large geographical areas, the optical signal experiences the accumulation of physical impairments through transmission and switching, possibly resulting in unacceptable signal quality Another emerging and challenging task in distributed and heterogeneous computing environments, is job scheduling: when and where to execute a given Grid job, based on the requirements of the job (for instance a deadline and minimal computational power) and the current state of the network and resources. Traditionally, a local scheduler optimizes utilization and performance of a single Grid site, while a meta-scheduler is distributes workload across different sites. Current implementations of these (meta-)schedulers only account for Grid resource availability In this paper we propose a novel architecture to support impairment-aware anycast routing for large-scale optical Grid networks. Section 2 discusses general approaches to support multi-domain networks. We then proceed to introduce a novel architecture, which can provide anycast Grid services in a multi-domain scenario (Section 3). Simulation analysis is used to demonstrate the improved scalability without incurring significant performance loss. Furthermore, Section 4 shows how to incorporate physical layer impairments, to further improve the performance of optical Grid networks. Conclusions are presented in Section 5
In situ visualization of large-scale turbulence simulations in Nek5000 with ParaView Catalyst
In situ visualization on high-performance computing systems allows us to analyze simulation results that would otherwise be impossible, given the size of the simulation data sets and offline post-processing execution time. We develop an in situ adaptor for Paraview Catalyst and Nek5000, a massively parallel Fortran and C code for computational fluid dynamics. We perform a strong scalability test up to 2048 cores on KTH’s Beskow Cray XC40 supercomputer and assess in situ visualization’s impact on the Nek5000 performance. In our study case, a high-fidelity simulation of turbulent flow, we observe that in situ operations significantly limit the strong scalability of the code, reducing the relative parallel efficiency to only ≈ 21 % on 2048 cores (the relative efficiency of Nek5000 without in situ operations is ≈ 99 %). Through profiling with Arm MAP, we identified a bottleneck in the image composition step (that uses the Radix-kr algorithm) where a majority of the time is spent on MPI communication. We also identified an imbalance of in situ processing time between rank 0 and all other ranks. In our case, better scaling and load-balancing in the parallel image composition would considerably improve the performance of Nek5000 with in situ capabilities. In general, the result of this study highlights the technical challenges posed by the integration of high-performance simulation codes and data-analysis libraries and their practical use in complex cases, even when efficient algorithms already exist for a certain application scenario
Synthesis of enantiopure ω-functionalized C15 α-amino carboxylates
An efficient route for the synthesis of enantiopure ω-hydroxy, ω-carboxy, ω-oxo, and ω-amino α-amino acids and bis-α-amino acids was developed. The synthesis of ω-trityloxy δ,ε-unsaturated α-amino acids was based on the Wittig reaction of methyl (2S)-2-[bis(tert-butoxycarbonyl)-amino]-5-oxopentanoate with ω-trityloxy alkylidene triphenylphosphoranes. After hydrogenation, the ω-hydroxy α-amino acid was used as starting material for the synthesis of other ω-functionalized α-amino acids. The length of the side chain of α-amino acids or bis-α-amino acids depends on the starting alkanediol or dibromide used to prepare the phosphoranes
Stereoselective intramolecular azide 1,3-dipolar cycloaddition
Ethyl (E)-7-azido-6-[bis(tert-butoxycarbonyl)amino]-2-heptenoate undergoes a stereoselective intramolecular azide 1,3-dipolar cycloaddition leading to a stable triazoline. The configuration and the conformation of the triazoline obtained were determined by spectroscopic data and confirmed by molecular mechanics calculations
Synthesis of chiral n,n+1-diamino acids and their application to the construction of dendrimers
Efficient methods for the synthesis of chiral n,n+1-diamino acids starting from L-glutamic acid were developed. A second generation prototype amino acid based dendrimer, containing 1,3-propanediamine as the core and 4,5-diaminopentanoic acid as the branching unit, was synthesised following the divergent approach. Diaminobutane poly(propyleneimine) dendrimers modified at the periphery with n,n+1-diamino acids were synthesized and characterized
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