3,558 research outputs found
The effect of a planet on the dust distribution in a 3D protoplanetary disk
Aims: We investigate the behaviour of dust in protoplanetary disks under the
action of gas drag in the presence of a planet. Our goal is twofold: to
determine the spatial distribution of dust depending on grain size and planet
mass, and therefore to provide a framework for interpretation of coming
observations and future studies of planetesimal growth. Method: We numerically
model the evolution of dust in a protoplanetary disk using a two-fluid (gas +
dust) Smoothed Particle Hydrodynamics (SPH) code, which is non-self-gravitating
and locally isothermal. The code follows the three dimensional distribution of
dust in a protoplanetary disk as it interacts with the gas via aerodynamic
drag. In this work, we present the evolution of a minimum mass solar nebula
(MMSN) disk comprising 1% dust by mass in the presence of an embedded planet.
We run a series of simulations which vary the grain size and planetary mass to
see how they affect the resulting disk structure. Results: We find that gap
formation is much more rapid and striking in the dust layer than in the gaseous
disk and that a system with a given stellar, disk and planetary mass will have
a completely different appearance depending on the grain size. For low mass
planets in our MMSN disk, a gap can open in the dust disk while not in the gas
disk. We also note that dust accumulates at the external edge of the planetary
gap and speculate that the presence of a planet in the disk may enhance the
formation of a second planet by facilitating the growth of planetesimals in
this high density region.Comment: 13 pages, 12 figures. Accepted for publication in Astronomy &
Astrophysic
SPH simulations of accretion disks and narrow rings
We model a massless viscous disk using Smoothed Particle Hydrodynamics (SPH) and note that it evolves according to the Lynden-Bell \& Pringle theory (1974) until a non-axisymmetric instability develops at the inner edge of the disk. This instability may have the same origin as the instability of initially axisymmetric viscous disks discussed by Lyubarskij et al. (1994). To clarify the evolution we evolved single and double rings of particles. It is actually inconsistent with the SPH scheme to set up a single ring as an initial condition because SPH assumes a smoothed initial state. As would be expected from an SPH simulation, the ring rapidly breaks up into a band. We analyse the stability of the ring and show that the predictions are confirmed by the simulation
Predicting Dust Distribution in Protoplanetary Discs
We present the results of three-dimensional numerical simulations that
include the effects of hydrodynamical forces and gas drag upon an evolving
dusty gas disk. We briefly describe a new parallel, two phase numerical code
based upon the smoothed particle hydrodynamics (SPH) technique in which the gas
and dust phases are represented by two distinct types of particles. We use the
code to follow the dynamical evolution of a population of grains in a gaseous
protoplanetary disk in order to understand the distribution of grains of
different sizes within the disk. Our ``grains'' range from metre to
submillimetre in size.Comment: 2 pages, LaTeX with 1 ps figure embedded, using newpasp.sty
(supplied). To appear in the proceedings of the XIXth IAP colloquium
"Extrasolar Planets: Today and Tomorrow" held in Paris, France, 2003, June 30
-- July 4, ASP Conf. Se
SPH Simulations of Accretion Disks and Narrow Rings
We model a massless viscous disk using Smoothed Particle Hydrodynamics (SPH)
and note that it evolves according to the Lynden-Bell \& Pringle theory (1974)
until a non-axisymmetric instability develops at the inner edge of the disk.
This instability may have the same origin as the instability of initially
axisymmetric viscous disks discussed by Lyubarskij et al. (1994). To clarify
the evolution we evolved single and double rings of particles. It is actually
inconsistent with the SPH scheme to set up a single ring as an initial
condition because SPH assumes a smoothed initial state. As would be expected
from an SPH simulation, the ring rapidly breaks up into a band. We analyse the
stability of the ring and show that the predictions are confirmed by the
simulation.Comment: 11 pages, uuencoded compressed postscript with 2 figs, accepted PASA.
Also available at http://www.maths.monash.edu.au/~maddison/me/papers.htm
Extant! Living Bembidion palosverdes Kavanaugh and Erwin (Coleoptera: Carabidae) Found on Santa Catalina Island, California Full Access
Kavanaugh and Erwin (1992) described Bembidion palosverdes from seven specimens from two localities on the Palos Verdes Peninsula, Los Angeles Co., CA (Pt. Vicente, ∼33.741°N, 118.411°W, and Pt. Fermin, ∼33.705°N, 118.294°W), collected in June 1964 by Derham Giuliani. The species\u27 authors spent two days searching for specimens at the two known localities, but found no additional specimens. They suggested that the species may have become extinct prior to its formal description, citing a major 1969 oil spill as a potential factor
Detecting retinal cell stress and apoptosis with DARC: Progression from lab to clinic
DARC (Detection of Apoptosing Retinal Cells) is a retinal imaging technology that has been developed within the last 2 decades from basic laboratory science to Phase 2 clinical trials. It uses ANX776 (fluorescently labelled Annexin A5) to identify stressed and apoptotic cells in the living eye. During its development, DARC has undergone biochemistry optimisation, scale-up and GMP manufacture and extensive preclinical evaluation. Initially tested in preclinical glaucoma and optic neuropathy models, it has also been investigated in Alzheimer, Parkinson's and Diabetic models, and used to assess efficacy of therapies. Progression to clinical trials has not been speedy. Intravenous ANX776 has to date been found to be safe and well-tolerated in 129 patients, including 16 from Phase 1 and 113 from Phase 2. Results on glaucoma and AMD patients have been recently published, and suggest DARC with an AI-aided algorithm can be used to predict disease activity. New analyses of DARC in GA prediction are reported here. Although further studies are needed to validate these findings, it appears there is potential of the technology to be used as a biomarker. Much larger clinical studies will be needed before it can be considered as a diagnostic, although the relatively non-invasive nature of the nasal as opposed to intravenous administration would widen its acceptability in the future as a screening tool. This review describes DARC development and its progression into Phase 2 clinical trials from lab-based research. It discusses hypotheses, potential challenges, and regulatory hurdles in translating technology
An attempt to observe economy globalization: the cross correlation distance evolution of the top 19 GDP's
Economy correlations between the 19 richest countries are investigated
through their Gross Domestic Product increments. A distance is defined between
increment correlation matrix elements and their evolution studied as a function
of time and time window size. Unidirectional and Bidirectional Minimal Length
Paths are generated and analyzed for different time windows. A sort of critical
correlation time window is found indicating a transition for best observations.
The mean length path decreases with time, indicating stronger correlations. A
new method for estimating a realistic minimal time window to observe
correlations and deduce macroeconomy conclusions from such features is thus
suggested.Comment: to be published in the Dyses05 proceedings, in Int. J. Mod Phys C 15
pages, 5 figures, 1 tabl
Efficient FPT algorithms for (strict) compatibility of unrooted phylogenetic trees
In phylogenetics, a central problem is to infer the evolutionary
relationships between a set of species ; these relationships are often
depicted via a phylogenetic tree -- a tree having its leaves univocally labeled
by elements of and without degree-2 nodes -- called the "species tree". One
common approach for reconstructing a species tree consists in first
constructing several phylogenetic trees from primary data (e.g. DNA sequences
originating from some species in ), and then constructing a single
phylogenetic tree maximizing the "concordance" with the input trees. The
so-obtained tree is our estimation of the species tree and, when the input
trees are defined on overlapping -- but not identical -- sets of labels, is
called "supertree". In this paper, we focus on two problems that are central
when combining phylogenetic trees into a supertree: the compatibility and the
strict compatibility problems for unrooted phylogenetic trees. These problems
are strongly related, respectively, to the notions of "containing as a minor"
and "containing as a topological minor" in the graph community. Both problems
are known to be fixed-parameter tractable in the number of input trees , by
using their expressibility in Monadic Second Order Logic and a reduction to
graphs of bounded treewidth. Motivated by the fact that the dependency on
of these algorithms is prohibitively large, we give the first explicit dynamic
programming algorithms for solving these problems, both running in time
, where is the total size of the input.Comment: 18 pages, 1 figur
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