127,969 research outputs found
Structure of Protoplanetary Discs with Magnetically-driven Winds
We present a new set of analytical solutions to model the steady state
structure of a protoplanetary disc with a magnetically-driven wind. Our model
implements a parametrization of the stresses involved and the wind launching
mechanism in terms of the plasma parameter at the disc midplane, as suggested
by the results of recent, local MHD simulations. When wind mass-loss is
accounted for, we find that its rate significantly reduces the disc surface
density, particularly in the inner disc region. We also find that models that
include wind mass-loss lead to thinner dust layers. As an astrophysical
application of our models, we address the case of HL Tau, whose disc exhibits a
high accretion rate and efficient dust settling at its midplane. These two
observational features are not easy to reconcile with conventional accretion
disc theory, where the level of turbulence needed to explain the high accretion
rate would prevent a thin dust layer. Our disc model that incorporates both
mass-loss and angular momentum removal by a wind is able to account for HL Tau
observational constraints concerning its high accretion rate and dust layer
thinness.Comment: Accepted for publication in MNRAS, 13 pages, 8 figure
Phase behaviour of the confined lattice gas Lebwohl-Lasher model
The phase behaviour of the Lebwohl-Lasher lattice gas model (one of the
simplest representations of a nematogenic fluid) confined in a slab is
investigated by means of extensive Monte Carlo simulations. The model is known
to yield a first order gas-liquid transition in both the 2D and 3D limits, that
is coupled with an orientational order-disorder transition. This latter
transition happens to be first order in the 3D limit and it shares some
characteristic features with the continuous defect mediated
Berezinskii-Kosterlitz-Thouless transition in 2D. In this work we will analyze
in detail the behaviour of this system taking full advantage of the lattice
nature of the model and the particular symmetry of the interaction potential,
which allows for the use of efficient cluster algorithms.Comment: 6 pages, 5 figure
Treatment of the infrared contribution: NLO QED evolution as a pedagogic example
We show that the conventional prescription used for DGLAP parton evolution at
NLO has an inconsistent treatment of the contribution from the infrared (IR)
region. We illustrate the problem by studying the simple example of QED
evolution, treating the electron and photon as partons. The deficiency is not
present in a physical approach which removes the IR divergency and allows
calculation in the normal 4-dimensional space.Comment: 15 pages, 2 figures, erratum at the end of the articl
Improving the Drell-Yan probe of small x partons at the LHC via a k_t cut
We show that the observation of the Drell-Yan production of low-mass
lepton-pairs (M 3) at the LHC can make a
direct measurement of parton distribution functions (PDFs) in the low x region,
x < 10^{-4}. We describe a procedure that greatly reduces the sensitivity of
the predictions to the choice of the factorization scale and, in particular,
show how, by imposing a cutoff on the transverse momentum of the lepton-pair,
the data are able to probe PDFs in the important low scale, low x domain. We
include the effects of the Sudakov suppression factor.Comment: 14 pages, 5 figures, version to be published in EPJC, with expanded
explanatio
Physical factorisation scheme for PDFs for non-inclusive applications
We introduce the physical factorisation scheme, which is necessary to
describe observables which are `not completely inclusive'. We derive the
formulae for NLO DGLAP evolution in this scheme, and also for the `rotation' of
the conventional MSbar PDFs into the physical representation. Unlike, the MSbar
prescription, where, for example, the gluon PDF at NLO obtains an admixture of
the quark-singlet PDF, and vice-versa, the physical approach does not mix
parton PDFs of different types. That is, the physical approach retains the
precise quantum numbers of each PDF. The NLO corrections to DGLAP evolution in
the physical scheme are less than those in the MSbar case, indicating a better
convergence of the perturbative series
The LHC can probe small x PDFs; the treatment of the infrared region
First, we show how to reduce the sensitivity of the NLO predictions of the
Drell-Yan production of low-mass, lepton-pairs, at high rapidity, to the choice
of factorization scale. In this way, observations of this process at the LHC
can make direct measurements of parton distribution functions in the low x
domain; x < 10^{-4}. Second, we find an inconsistency in the conventional NLO
treatment of the infrared region. We illustrate the problem using the NLO
coefficient function of Drell-Yan production.Comment: 5 pages, 1 figure, contribution to the Proceedings of
"Diffraction2012", Puerto del Carmen, Lanzarote, Spain, Sept. 10-15th, 201
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Data-Driven Generalized Integer Aperture Bootstrapping for Real-Time High Integrity Applications
A new method is developed for integer ambiguity
resolution in carrier-phase differential GPS (CDGPS) positioning.
The method is novel in that it is (1) data-driven, (2) generalized
to include partial ambiguity resolution, and (3) amenable to a
full characterization of the prior and posterior distributions of
the three-dimensional baseline vector that results from CDGPS.
The technique is termed generalized integer aperture bootstrapping
(GIAB). GIAB improves the availability of integer
ambiguity resolution for high-integrity, safety-critical systems.
Current high-integrity CDGPS algorithms, such as EPIC and
GERAFS, evaluate the prior risk of position domain biases due to
incorrect integer ambiguity resolution without further validation
of the chosen solution. This model-driven approach introduces
conservatism which tends to reduce solution availability. Common
data-driven ambiguity validation methods, such as the ratio test,
control the risk of incorrect ambiguity resolution by shrinking
an integer aperture (IA), or acceptance region. The incorrect
fixing risk of current IA methods is determined by functional
approximations that are inappropriate for use in safety-of-life
applications. Moreover, generalized IA (GIA) methods incorrectly
assume that the baseline resulting from partial ambiguity resolution
is zero mean. Each of these limitations is addressed by
GIAB, and the claimed improvements are validated by Monte
Carlo simulation. The performance of GIAB is then optimized by
tuning the integer aperture size to maximize the prior probability
of full ambiguity resolution. GIAB is shown to provide higher
availability than EPIC for the same integrity requirements.Aerospace Engineering and Engineering Mechanic
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