6,339 research outputs found
The M101 group complex: new dwarf galaxy candidates and spatial structure
The fine details of the large-scale structure in the local universe provide
important empirical benchmarks for testing cosmological models of structure
formation. Dwarf galaxies are key object for such studies. Enlarge the sample
of known dwarf galaxies in the local universe. We performed a search for faint,
unresolved low-surface brightness dwarf galaxies in the M101 group complex,
including the region around the major spiral galaxies M101, M51, and M63 lying
at a distance 7.0, 8.6, and 9.0 Mpc, respectively. The new dwarf galaxy sample
can be used in a first step to test for significant substructure in the
2D-distribution and in a second step to study the spatial distribution of the
galaxy complex. Using filtering algorithms we surveyed 330 square degrees of
imaging data obtained from the Sloan Digital Sky Survey. The images were
visually inspected. The spatial distribution of known galaxies and candidates
was analyzed transforming the system into a M101 eigenframe, using the
geometrical alignment of the group. We discovered 15 new dwarf galaxies and
carried out surface photometry in the g and r bands. The similarity of the
photometric properties of these dwarfs to those of Local Group dwarfs suggest
membership to the M101 group complex. The sky distribution of the candidates
follows the thin planar structure outlined by the known members of the three
subgroups. The ~3Mpc long filamentary structure has a rms thickness of 67 kpc.
The planar structure of the embedded M101 subgroup is even thinner, with rms=46
kpc. The formation of this structure might be due to the expansion of the Local
Void to which it borders. Other implications are discussed as well. We show the
viability of SDSS data to extend the sample of dwarfs in the local universe and
test cosmological models on small scales.Comment: 12 pages, 8 figures, accepted for publication in A&
Radiation-induced rotation of small celestial bodies
The rotation was studied of particles in a simulated space environment via a technique known as Laser Particle Levitation. The combination of both a high vacuum and optical laser levitation to negate the effects of Earth's gravity, simulate the space environment. The rotation mechanism under study is known as the 'Windmill Effect,' which is a spin mechanism that suggests that the interaction of the photon field from a star with the surface irregularities of cosmic dust will cause them to spin due to the imbalance in the directionality of the scattered photons which necessitates a non-zero angular momentum. This conclusion is based on the random nature of the orientation of the sites of surface irregularities. The general object is to study the behavior of particles in orbits around the Earth, both natural and man made, as well as interplanetary and circumstellar particles. To meet this objective, an apparatus was constructed which was designed to allow optical levitation in a vacuum
Two Approaches to Ontology Aggregation Based on Axiom Weakening
Axiom weakening is a novel technique that allows
for fine-grained repair of inconsistent ontologies.
In a multi-agent setting, integrating ontologies corresponding
to multiple agents may lead to inconsistencies.
Such inconsistencies can be resolved after
the integrated ontology has been built, or their
generation can be prevented during ontology generation.
We implement and compare these two approaches.
First, we study how to repair an inconsistent
ontology resulting from a voting-based aggregation
of views of heterogeneous agents. Second,
we prevent the generation of inconsistencies by letting
the agents engage in a turn-based rational protocol
about the axioms to be added to the integrated
ontology. We instantiate the two approaches using
real-world ontologies and compare them by measuring
the levels of satisfaction of the agents w.r.t.
the ontology obtained by the two procedures
Generic Battery Model based on a Parametric Implementation
Batteries are a common element used in many electronic applications. Therefore, the analysis and simulation of these applications requires a battery model in order to validate the behavior of the whole system. Since batteries are based on different technologies, a modeling approach valid for any technology is a potential good alternative. Since there are similarities among the different technologies, it is possible to address the modeling of batteries as generic energy storage elements with particular differences. This work presents a battery model valid for different technologies based on a parametric implementation
Repairing Ontologies via Axiom Weakening.
Ontology engineering is a hard and error-prone task, in which
small changes may lead to errors, or even produce an inconsistent
ontology. As ontologies grow in size, the need for automated
methods for repairing inconsistencies while preserving
as much of the original knowledge as possible increases.
Most previous approaches to this task are based on removing
a few axioms from the ontology to regain consistency.
We propose a new method based on weakening these axioms
to make them less restrictive, employing the use of refinement
operators. We introduce the theoretical framework for
weakening DL ontologies, propose algorithms to repair ontologies
based on the framework, and provide an analysis of
the computational complexity. Through an empirical analysis
made over real-life ontologies, we show that our approach
preserves significantly more of the original knowledge of the
ontology than removing axioms
Discontinuities cause essential spectrum on surfaces
Two dimensional maps with discontinuities are considered. It is shown that,
in the presence of discontinuities, the essential spectrum of the transfer
operator is large whenever it acts on a Banach space with norm that is stronger
than or . Three classes of examples are introduced and studied.
In two dimensions there is complication due to the geometry of the
discontinuities, an issue not present in the one dimensional case and which is
explored in this work.Comment: Comments welcom
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