3,536 research outputs found
The Evolution of Hetergeneous "Clumpy Jets": A Parameter Study
We investigate the role discrete clumps embedded in an astrophysical jet play
on the jet's morphology and line emission characteristics. By varying clumps'
size, density, position, and velocity, we cover a range of parameter space
motivated by observations of objects such as the Herbig Haro object HH~34. We
here extend the results presented in Yirak et al. 2009, including how analysis
of individual observations may lead to spurious sinusoidal variation whose
parameters vary widely over time, owing chiefly to interacts between clumps.
The goodness of the fits, while poor in all simulations, are best when
clump-clump collisions are minimal. Our results indicate that a large velocity
dispersion leads to a clump-clump collision-dominated flow which disrupts the
jet beam. Finally, we present synthetic emission images of H- and [SII]
and note an excess of [SII] emission along the jet length as compared to
observations. This suggests that observed beams undergo earlier processing, if
they are present at all.Comment: 18 pages, 7 figures. Submitted to the Astrophysical Journa
NNVub: a Neural Network Approach to
We use artificial neural networks to parameterize the shape functions in
inclusive semileptonic decays without charm. Our approach avoids the
adoption of functional form models and allows for a straightforward
implementation of all experimental and theoretical constraints on the shape
functions. The results are used to extract in the GGOU framework and
compared with the original GGOU paper and the latest HFAG results, finding good
agreement in both cases. The possible impact of future Belle-II data on the
distribution is also discussed.Comment: 10 pages, 5 figure
The Application of a Trade Study Methodology to Determine Which Capabilities to Implement in a Test Facility Data Acquisition System Upgrade
More and more test programs are requiring high frequency measurements. Marshall Space Flight Center s Cold Flow Test Facility has an interest in acquiring such data. The acquisition of this data requires special hardware and capabilities. This document provides a structured trade study approach for determining which additional capabilities of a VXI-based data acquisition system should be utilized to meet the test facility objectives. The paper is focused on the trade study approach detailing and demonstrating the methodology. A case is presented in which a trade study was initially performed to provide a recommendation for the data system capabilities. Implementation details of the recommended alternative are briefly provided as well as the system s performance during a subsequent test program. The paper then addresses revisiting the trade study with modified alternatives and attributes to address issues that arose during the subsequent test program. Although the model does not identify a single best alternative for all sensitivities, the trade study process does provide a much better understanding. This better understanding makes it possible to confidently recommend Alternative 3 as the preferred alternative
Testing non-nested structural equation models
In this paper, we apply Vuong's (1989) likelihood ratio tests of non-nested
models to the comparison of non-nested structural equation models. Similar
tests have been previously applied in SEM contexts (especially to mixture
models), though the non-standard output required to conduct the tests has
limited their previous use and study. We review the theory underlying the tests
and show how they can be used to construct interval estimates for differences
in non-nested information criteria. Through both simulation and application, we
then study the tests' performance in non-mixture SEMs and describe their
general implementation via free R packages. The tests offer researchers a
useful tool for non-nested SEM comparison, with barriers to test implementation
now removed.Comment: 24 pages, 6 figure
Nonstandard neutrino interactions and transition magnetic moments
We constrain generic nonstandard neutrino interactions with existing
experimental data on neutrino transition magnetic moments and derive strong
bounds on tensorial couplings of neutrinos to charged fermions. We also discuss
how some of these tensorial couplings can be constrained by other experiments,
e.g., on neutrino-electron and neutrino-nucleus scattering.Comment: 7 pages, 1 figure, 1 table; the entries in the central column of
Table I are corrected by the factor of 2, and a misprint in Eq. (17) is
correcte
The Ceiling is the Sky: Affective Constructs, Event, and Community in the Marginal Spaces of Art Education
This article sketches philosophical concepts of affect and event within the canvas of lived experience in a university art education teacher preparation course. We claim that by embracing architectural and metaphorically marginal spaces the course manifested transformative experiences for students, instructors, and community. We position and celebrate the often marginalized spaces of art education as potential sites of becoming through curricular rich environments and as thresholds of event for the educator of art within the community at large. Specifically, we describe the deconstructed space of the “classroom,” the curricular arc of learning, and the occurrence of an unplanned, emergent, student generated event. We then consider the implications of this event for art education discourse through the figurations of murmurations and landings. Evoking the term murmuration as an expansive figuration of line of flight; we layer philosophical concepts and art education discourse to explore the notion of coming communities and event
Synchronous vs Asynchronous Chain Motion in α-Synuclein Contact Dynamics
α-Synuclein (α-syn) is an intrinsically unstructured 140-residue neuronal protein of uncertain function that is implicated in the etiology of Parkinson’s disease. Tertiary contact formation rate constants in α-syn, determined from diffusion-limited electron-transfer kinetics measurements, are poorly approximated by simple random polymer theory. One source of the discrepancy between theory and experiment may be that interior-loop formation rates are not well approximated by end-to-end contact dynamics models. We have addressed this issue with Monte Carlo simulations to model asynchronous and synchronous motion of contacting sites in a random polymer. These simulations suggest that a dynamical drag effect may slow interior-loop formation rates by about a factor of 2 in comparison to end-to-end loops of comparable size. The additional deviations from random coil behavior in α-syn likely arise from clustering of hydrophobic residues in the disordered polypeptide
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