23,373 research outputs found
VLT and NTT Observations of Two EIS Cluster Candidates. Detection of the Early-Type Galaxies Sequence at z~1
Optical data from the ESO VLT-UT1 Science Verification observations are
combined with near-infrared data from SOFI at the NTT to obtain
optical-infrared color-magnitude diagrams for the objects in the fields of two
EIS cluster candidates. In both cases, evidence is found for a well-defined
sequence of red galaxies that appear to be significantly more clustered than
the background population. These results suggest that the two systems are real
physical associations. The (R-Ks), (I-Ks) and (J-Ks) colors of the red
sequences are used, in conjunction with similar data for spectroscopically
confirmed clusters, to obtain redshift estimates of z ~ 0.9 and z ~ 1.0 for
these two systems. These results make these EIS cluster candidates prime
targets for follow-up spectroscopic observations to confirm their reality and
to measure more accurately their redshift.Comment: 6 pages, 5 figures, to appear in Astronomy & Astrophysics (Special
Letters Edition on "First Science with the VLT"
Confirming EIS Clusters. Optical and Infrared Imaging
Clusters of galaxies are important targets in observationally cosmology, as
they can be used both to study the evolution of the galaxies themselves and to
constrain cosmological parameters. Here we report on the first results of a
major effort to build up a sample of distant galaxy clusters to form the basis
for further studies within those fields. We search for simultaneous
overdensities in color and space to obtain supporting evidence for the reality
of the clusters. We find a confirmation rate for EIS clusters of 66%,
suggesting that a total of about 80 clusters with z>=0.6 are within reach using
the EIS cluster candidates.Comment: 4 pages, 2 figures, to appear in the proceedings of the IGRAP
International Conference 1999 on 'Clustering at high Redshift
PersistĂȘncia de dois inseticidas ao parasitoide de moscas-dasfrutas, Diachasmimorpha longicaudata (Hymenoptera: Braconidae).
O presente trabalho objetivou avaliar a persistĂȘncia de dois inseticidas utilizados para o controle de Ceratitis capitata, espinosade e etofenproxi, sobre adultos de Diachasmimorpha longicaudataSICONBIOL 2013
Fractional quantization of ballistic conductance in 1D hole systems
We analyze the fractional quantization of the ballistic conductance
associated with the light and heavy holes bands in Si, Ge and GaAs systems. It
is shown that the formation of the localized hole state in the region of the
quantum point contact connecting two quasi-1D hole leads modifies drastically
the conductance pattern. Exchange interaction between localized and propagating
holes results in the fractional quantization of the ballistic conductance
different from those in electronic systems. The value of the conductance at the
additional plateaux depends on the offset between the bands of the light and
heavy holes, \Delta, and the sign of the exchange interaction constant. For
\Delta=0 and ferromagnetic exchange interaction, we observe additional plateaux
around the values 7e^{2}/4h, 3e^{2}/h and 15e^{2}/4h, while antiferromagnetic
interaction plateaux are formed around e^{2}/4h, e^{2}/h and 9e^{2}/4h. For
large \Delta, the single plateau is formed at e^2/h.Comment: 4 pages, 3 figure
ESO Imaging Survey VII. Distant Cluster Candidates over 12 square degrees
In this paper the list of candidate clusters identified from the I-band data
of the ESO Imaging Survey (EIS) is completed using the images obtained over a
total area of about 12 square degrees. Together with the data reported earlier
the total I-band coverage of EIS is 17 square degrees, which has yielded a
sample of 252 cluster candidates in the redshift range 0.2 \lsim z \lsim 1.3.
This is the largest optically-selected sample currently available in the
Southern Hemisphere. It is also well distributed in the sky thus providing
targets for a variety of VLT programs nearly year round.Comment: 5 pages, 3 figures, submitted to Astronomy & Astrophysic
Hierarchical Spatial Organization of Geographical Networks
In this work we propose the use of a hirarchical extension of the
polygonality index as a means to characterize and model geographical networks:
each node is associated with the spatial position of the nodes, while the edges
of the network are defined by progressive connectivity adjacencies. Through the
analysis of such networks, while relating its topological and geometrical
properties, it is possible to obtain important indications about the
development dynamics of the networks under analysis. The potential of the
methodology is illustrated with respect to synthetic geographical networks.Comment: 3 page, 3 figures. A wokring manuscript: suggestions welcome
What are the Best Hierarchical Descriptors for Complex Networks?
This work reviews several hierarchical measurements of the topology of
complex networks and then applies feature selection concepts and methods in
order to quantify the relative importance of each measurement with respect to
the discrimination between four representative theoretical network models,
namely Erd\"{o}s-R\'enyi, Barab\'asi-Albert, Watts-Strogatz as well as a
geographical type of network. The obtained results confirmed that the four
models can be well-separated by using a combination of measurements. In
addition, the relative contribution of each considered feature for the overall
discrimination of the models was quantified in terms of the respective weights
in the canonical projection into two dimensions, with the traditional
clustering coefficient, hierarchical clustering coefficient and neighborhood
clustering coefficient resulting particularly effective. Interestingly, the
average shortest path length and hierarchical node degrees contributed little
for the separation of the four network models.Comment: 9 pages, 4 figure
Intermittent exploration on a scale-free network
We study an intermittent random walk on a random network of scale-free degree
distribution. The walk is a combination of simple random walks of duration
and random long-range jumps. While the time the walker needs to cover all
the nodes increases with , the corresponding time for the edges displays a
non monotonic behavior with a minimum for some nontrivial value of . This
is a heterogeneity-induced effect that is not observed in homogeneous
small-world networks. The optimal increases with the degree of
assortativity in the network. Depending on the nature of degree correlations
and the elapsed time the walker finds an over/under-estimate of the degree
distribution exponent.Comment: 12 pages, 3 figures, 1 table, published versio
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