4,320 research outputs found
Roles of Fast-Cyclotron and Alfven-Cyclotron Waves for the Multi-Ion Solar Wind
Using linear Vlasov theory of plasma waves and quasi-linear theory of
resonant wave-particle interaction, the dispersion relations and the
electromagnetic field fluctuations of fast and Alfven waves are studied for a
low-beta multi-ion plasma in the inner corona. Their probable roles in heating
and accelerating the solar wind via Landau and cyclotron resonances are
quantified. We assume that (1) low-frequency Alfven and fast waves have the
same spectral shape and the same amplitude of power spectral density; (2) these
waves eventually reach ion cyclotron frequencies due to a turbulence cascade;
(3) kinetic wave-particle interaction powers the solar wind. The existence of
alpha particles in a dominant proton/electron plasma can trigger linear mode
conversion between oblique fast-whistler and hybrid alpha-proton cyclotron
waves. The fast-cyclotron waves undergo both alpha and proton cyclotron
resonances. The alpha cyclotron resonance in fast-cyclotron waves is much
stronger than that in Alfven-cyclotron waves. For alpha cyclotron resonance, an
oblique fast-cyclotron wave has a larger left-handed electric field
fluctuation, a smaller wave number, a larger local wave amplitude, and a
greater energization capability than a corresponding Alfven-cyclotron wave at
the same wave propagation angle \theta, particularly at < \theta <
. When Alfven-cyclotron or fast-cyclotron waves are present, alpha
particles are the chief energy recipient. The transition of preferential
energization from alpha particles to protons may be self-modulated by
differential speed and temperature anisotropy of alpha particles via the
self-consistently evolving wave-particle interaction. Therefore, fast-cyclotron
waves as a result of linear mode coupling is a potentially important mechanism
for preferential energization of minor ions in the main acceleration region of
the solar wind.Comment: 29 pages, 10 figures, 3 tables. Accepted for publication in Solar
Physic
The Long-term Dynamical Evolution of Disk-fragmented Multiple Systems in the Solar Neighborhood
The origin of very low-mass hydrogen-burning stars, brown dwarfs (BDs), and planetary-mass objects (PMOs) at
the low-mass end of the initial mass function is not yet fully understood. Gravitational fragmentation of
circumstellar disks provides a possible mechanism for the formation of such low-mass objects. The kinematic and
binary properties of very low-mass objects formed through disk fragmentation at early times (<10 Myr) were
discussed in our previous paper. In this paper we extend the analysis by following the long-term evolution of diskfragmented
systems up to an age of 10 Gyr, covering the ages of the stellar and substellar populations in the
Galactic field. We find that the systems continue to decay, although the rates at which companions escape or
collide with each other are substantially lower than during the first 10 Myr, and that dynamical evolution is limited
beyond 1 Gyr. By t = 10 Gyr, about one third of the host stars are single, and more than half have only one
companion left. Most of the other systems have two companions left that orbit their host star in widely separated
orbits. A small fraction of companions have formed binaries that orbit the host star in a hierarchical triple
configuration. The majority of such double-companion systems have internal orbits that are retrograde with respect
to their orbits around their host stars. Our simulations allow a comparison between the predicted outcomes of disk
fragmentation with the observed low-mass hydrogen-burning stars, BDs, and PMOs in the solar neighborhood.
Imaging and radial velocity surveys for faint binary companions among nearby stars are necessary for verification
or rejection of the formation mechanism proposed in this paper
The K600 Focal Plane Polarimeter
This research was sponsored by the National Science Foundation Grant NSF PHY-931478
Adhesion model of side contact for an extensible elastic fiber
AbstractFor accurately predicted adhesion laws of fibrillar structures contribute to the rational design of high-performance biomimetic adhesives, an adhesion model is proposed to study the directional adhesion behavior of an extensible elastic fiber that contacts a rigid smooth surface with its side surface under the coupling effect of normal and shear forces, based on the extensible Euler Bernoulli beam theory and the surface energy concept. The deformed configuration of the fiber is obtained analytically, and on the basis of this result, the detachment mode and the normal pull-off force of the fiber for a given shear force are predicted directly. It is also found that, due to the extensibility of the fiber, there exists a maximum normal pull-off force (MNPF) when an optimal shear force is applied. The MNPF will be enhanced by increasing the axial stiffness, and reduced by increasing the bending stiffness. In addition, generating an optimal pre-tension in the adhered part of the fiber will maximize the MNPF. The derived adhesion law is expected to contribute to the optimal design and applications of single-level fibrillar adhesives
Monte Carlo study of the sphere packing problem
[[abstract]]We employ the Monte Carlo method to study a constrained optimization problem, that is packing spheres with unequal radii into a 3-D bounded region. Selection of the best fit solution is based on using the Boltzmann factor, e?ÎE/T to determine the transition probability, which allows us to search for the global optimal solution. We determined the least numbers of packed spheres that will occupy the largest volume. The optimal occupied volume found is around 44% of a bounded region volume, which is obtained within a relative short computing time. This suggests that our result could be able to give a good starting point for the radiosurgery treatment plan
Quantitative linguistic study of DNA sequences
[[abstract]]A new family of compound Poisson distribution functions from quantitative linguistics is used to study the linguistic features of DNA sequences that go beyond the Zipf's law. The relative frequency distribution of n-tuples and the compositional segmentation study can be fit reasonably well using this new family of distribution functions. On the other hand, the absolute values of the relative frequency come out naturally from the linguistic model without ambiguity. It is suggesting that DNA sequences have features that resemble natural language and it may be modeled by linguistic methodology
Multiple Factorizations of Bivariate Linear Partial Differential Operators
We study the case when a bivariate Linear Partial Differential Operator
(LPDO) of orders three or four has several different factorizations.
We prove that a third-order bivariate LPDO has a first-order left and right
factors such that their symbols are co-prime if and only if the operator has a
factorization into three factors, the left one of which is exactly the initial
left factor and the right one is exactly the initial right factor. We show that
the condition that the symbols of the initial left and right factors are
co-prime is essential, and that the analogous statement "as it is" is not true
for LPDOs of order four.
Then we consider completely reducible LPDOs, which are defined as an
intersection of principal ideals. Such operators may also be required to have
several different factorizations. Considering all possible cases, we ruled out
some of them from the consideration due to the first result of the paper. The
explicit formulae for the sufficient conditions for the complete reducibility
of an LPDO were found also
Profiling Occupant Behaviour in Danish Dwellings using Time Use Survey Data - Part I: Data Description and Activity Profiling
The human interaction with the building is a key cause of uncertainty when predicting energy consump- tion of buildings. Building occupants affect building energy use directly and indirectly by interacting with building energy systems, for example, by adjusting thermostats, switching lights on/off, using electri- cal devices and opening/closing windows. The occupantsâ daily activity profiles and occupancy patterns clearly shape the timing and magnitude of energy demand in households. Modelling energy-related hu- man activities throughout the day, therefore, is a crucial task for prediction of energy use and, conse- quently, to reduce the gap between real and predicted building energy use. This study modelled data gathered in the diary-based Danish Time Use Survey (TUS) 2008/09 of 9640 individuals from 4679 households. Individualsâ daily activities were logged in 10-min time increments for 24 h, starting and ending at 04:00, during both weekdays and weekends. The aims of this study were to (i) profile energy-related daily activities of occupants during different seasons and weekdays/weekends (ii) investigate time-related characteristics of activities such as starting and ending times and durations, and (iii) profile occupancy patterns for weekdays/weekends for different household types. The outcomes provide valuable input for building energy simulation for bridging the gap between simulated and real energy consumption in the Danish residential sector; typical occupancy profiles for different household types for different days of the week are freely available online[1]
Comparison of Temperature-Dependent Hadronic Current Correlation Functions Calculated in Lattice Simulations of QCD and with a Chiral Lagrangian Model
The Euclidean-time hadronic current correlation functions, and
, of pseudoscalar and vector currents have recently been
calculated in lattice simulations of QCD and have been used to obtain the
corresponding spectral functions. We have used the Nambu-Jona-Lasinio (NJL)
model to calculate such spectral functions, as well as the Euclidean-time
correlators, and have made a comparison to the lattice results for the
correlators. We find evidence for the type of temperature dependence of the NJL
coupling parameters that we have used in previous studies of the mesonic
confinement-deconfinement transition. We also see that the spectral functions
obtained when using the maximum-entropy-method (MEM) and the lattice data
differ from the spectral functions that we calculate in our chiral model.
However, our results for the Euclidean-time correlators are in general
agreement with the lattice results, with better agreement when our
temperature-dependent coupling parameters are used than when
temperature-independent parameters are used for the NJL model. We also discuss
some additional evidence for the utility of temperature-dependent coupling
parameters for the NJL model. For example, if the constituent quark mass at T=0
is in the chiral limit, the transition temperature is for the NJL model with a standard momentum cutoff parameter. (If a
Gaussian momentum cutoff is used, we find in the chiral limit,
with at T=0.) The introduction of a weak temperature dependence
for the coupling constant will move the value of into the range 150-170
MeV, which is more in accord with what is found in lattice simulations of QCD
with dynamical quarks
The effect of the dynamical state of clusters on gas expulsion and infant mortality
The star formation efficiency (SFE) of a star cluster is thought to be the
critical factor in determining if the cluster can survive for a significant
(>50 Myr) time. There is an often quoted critical SFE of ~30 per cent for a
cluster to survive gas expulsion. I reiterate that the SFE is not the critical
factor, rather it is the dynamical state of the stars (as measured by their
virial ratio) immediately before gas expulsion that is the critical factor. If
the stars in a star cluster are born in an even slightly cold dynamical state
then the survivability of a cluster can be greatly increased.Comment: 6 pages, 2 figures. Review talk given at the meeting on "Young
massive star clusters - Initial conditions and environments", E. Perez, R. de
Grijs, R. M. Gonzalez Delgado, eds., Granada (Spain), September 2007,
Springer: Dordrecht. Replacement to correct mistake in a referenc
- âŠ