3,874 research outputs found
The dark matter halos of the bluest low surface brightness galaxies
We present BVI photometry and long-slit Halpha rotation curve data obtained
with ESO VLT/FORS2 for six low surface brightness galaxies with extremely blue
colours and very faint central regions. We find no evidence for a steep central
density cusp of the type predicted by many N-body simulations of cold dark
matter (CDM) halos. Our observations are instead consistent with dark matter
halos characterized by cores of roughly constant density, in agreement with
previous investigations. While unremarkable in terms of the central density
slope, these galaxies appear very challenging for existing CDM halo models in
terms of average central halo density, as measured by the Delta_(V/2)
parameter. Since most of our target galaxies are bulgeless disks, our
observations also disfavour a recently suggested mechanism for lowering the
central mass concentration of the halo by means of a fast collapse phase, as
this scenario predicts that the original CDM profile should still be detectable
in bulgeless galaxies. Other potential ways of reconciling the CDM predictions
with these observations are discussed.Comment: 14 pages, 9 figures, accepted for publication in Astronomy &
Astrophysic
Prepontine non-giant neurons drive flexible escape behavior in zebrafish
Many species execute ballistic escape reactions to avoid imminent danger. Despite fast reaction times, responses are often highly regulated, reflecting a trade-off between costly motor actions and perceived threat level. However, how sensory cues are integrated within premotor escape circuits remains poorly understood. Here, we show that in zebrafish, less precipitous threats elicit a delayed escape, characterized by flexible trajectories, which are driven by a cluster of 38 prepontine neurons that are completely separate from the fast escape pathway. Whereas neurons that initiate rapid escapes receive direct auditory input and drive motor neurons, input and output pathways for delayed escapes are indirect, facilitating integration of cross-modal sensory information. These results show that rapid decision-making in the escape system is enabled by parallel pathways for ballistic responses and flexible delayed actions and defines a neuronal substrate for hierarchical choice in the vertebrate nervous system
Inside a VAMDC data node - Putting standards into practical software
Access to molecular and atomic data is critical for many forms of remote
sensing analysis across different fields. Many atomic and molecular databases
are however highly specialized for their intended application, complicating
querying and combination data between sources. The Virtual Atomic and Molecular
Data Centre, VAMDC, is an electronic infrastructure that allows each database
to register as a "node". Through services such as VAMDC's portal website, users
can then access and query all nodes in a homogenized way. Today all major
Atomic and Molecular databases are attached to VAMDC.
This article describes the software tools we developed to help data providers
create and manage a VAMDC node. It gives an overview of the VAMDC
infrastructure and of the various standards it uses. The article then discusses
the development choices made and how the standards are implemented in practice.
It concludes with a full example of implementing a VAMDC node using a real-life
case as well as future plans for the node software.Comment: 12 pages, 2 figure
Frequency stabilization for mobile satellite terminals via LORAN
Digital satellite communication systems require careful management of frequency stability. Historically, frequency stability has been accomplished by continuously powered, high cost, high performance reference oscillators. Today's low cost mobile satellite communication equipment must operate under wide ranging environmental conditions, stabilize quickly after application of power, and provide adequate performance margin to overcome RF link impairments unique to the land mobile environment. Methods for frequency stabilization in land mobile applications must meet these objectives without incurring excessive performance degradation. A frequency stabilization scheme utilizing the LORAN (Long Range Navigation) system is presented
Numeric and fluid dynamic representation of tornadic double vortex thunderstorms
Current understanding of a double vortex thunderstorm involves a pair of contra-rotating vortices that exists in the dynamic updraft. The pair is believed to be a result of a blocking effect which occurs when a cylindrical thermal updraft of a thunderstorm protrudes into the upper level air and there is a large amount of vertical wind shear between the low level and upper level air layers. A numerical tornado prediction scheme based on the double vortex thunderstorm was developed. The Energy-Shear Index (ESI) is part of the scheme and is calculated from radiosonde measurements. The ESI incorporates parameters representative of thermal instability and blocking effect, and indicates appropriate environments for which the development of double vortex thunderstorms is likely
Convergence Acceleration and Documentation of CFD Codes for Turbomachinery Applications
The development and analysis of turbomachinery components for industrial and aerospace applications has been greatly enhanced in recent years through the advent of computational fluid dynamics (CFD) codes and techniques. Although the use of this technology has greatly reduced the time required to perform analysis and design, there still remains much room for improvement in the process. In particular, there is a steep learning curve associated with most turbomachinery CFD codes, and the computation times need to be reduced in order to facilitate their integration into standard work processes. Two turbomachinery codes have recently been developed by Dr. Daniel Dorney (MSFC) and Dr. Douglas Sondak (Boston University). These codes are entitled Aardvark (for 2-D and quasi 3-D simulations) and Phantom (for 3-D simulations). The codes utilize the General Equation Set (GES), structured grid methodology, and overset O- and H-grids. The codes have been used with success by Drs. Dorney and Sondak, as well as others within the turbomachinery community, to analyze engine components and other geometries. One of the primary objectives of this study was to establish a set of parametric input values which will enhance convergence rates for steady state simulations, as well as reduce the runtime required for unsteady cases. The goal is to reduce the turnaround time for CFD simulations, thus permitting more design parametrics to be run within a given time period. In addition, other code enhancements to reduce runtimes were investigated and implemented. The other primary goal of the study was to develop enhanced users manuals for Aardvark and Phantom. These manuals are intended to answer most questions for new users, as well as provide valuable detailed information for the experienced user. The existence of detailed user s manuals will enable new users to become proficient with the codes, as well as reducing the dependency of new users on the code authors. In order to achieve the objectives listed, the following tasks were accomplished: 1) Parametric Study Of Preconditioning Parameters And Other Code Inputs; 2) Code Modifications To Reduce Runtimes; 3) Investigation Of Compiler Options To Reduce Code Runtime; and 4) Development/Enhancement of Users Manuals for Aardvark and Phanto
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