3,434 research outputs found
Dwarf Galaxies and the Cosmic Web
We use a cosmological simulation of the formation of the Local Group of
Galaxies to identify a mechanism that enables the removal of baryons from
low-mass halos without appealing to feedback or reionization. As the Local
Group forms, matter bound to it develops a network of filaments and pancakes.
This moving web of gas and dark matter drifts and sweeps a large volume,
overtaking many halos in the process. The dark matter content of these halos is
unaffected but their gas can be efficiently removed by ram-pressure. The loss
of gas is especially pronounced in low-mass halos due to their lower binding
energy and has a dramatic effect on the star formation history of affected
systems. This "cosmic web stripping" may help to explain the scarcity of dwarf
galaxies compared with the numerous low-mass halos expected in \Lambda CDM and
the large diversity of star formation histories and morphologies characteristic
of faint galaxies. Although our results are based on a single high-resolution
simulation, it is likely that the hydrodynamical interaction of dwarf galaxies
with the cosmic web is a crucial ingredient so far missing from galaxy
formation models.Comment: Submitted to ApJL. 6 pages, 4 figures. A set of movies showing the
interaction between dwarf galaxies and the Cosmic Web can be found at mirror
1 http://www.astro.uvic.ca/~mario/dwarf-web/ or at mirror 2
http://www.iate.oac.uncor.edu/~alejandro/dwarf-web/ . Comments are welcome
Gene Regulatory Network Evolution Through Augmenting Topologies
International audienceArtificial gene regulatory networks (GRNs) are biologically inspired dynamical systems used to control various kinds of agents, from the cells in developmental models to embodied robot swarms. Most recent work uses a genetic algorithm (GA) or an evolution strategy in order to optimize the network for a specific task. However, the empirical performances of these algorithms are unsatisfactory. This paper presents an algorithm that primarily exploits a network distance metric, which allows genetic similarity to be used for speciation and variation of GRNs. This algorithm, inspired by the successful neuroevolution of augmenting topologies algorithm's use in evolving neural networks and compositional pattern-producing networks, is based on a specific initialization method, a crossover operator based on gene alignment, and speciation based upon GRN structures. We demonstrate the effectiveness of this new algorithm by comparing our approach both to a standard GA and to evolutionary programming on four different experiments from three distinct problem domains, where the proposed algorithm excels on all experiments
The STAGES view of red spirals and dusty red galaxies: Mass-dependent quenching of star-formation in cluster infall
We investigate the properties of optically passive spirals and dusty red
galaxies in the A901/2 cluster complex at redshift ~0.17 using restframe
near-UV-optical SEDs, 24 micron IR data and HST morphologies from the STAGES
dataset. The cluster sample is based on COMBO-17 redshifts with an rms
precision of sigma_cz~2000 km/sec. We find that 'dusty red galaxies' and
'optically passive spirals' in A901/2 are largely the same phenomenon, and that
they form stars at a substantial rate, which is only 4x lower than that in blue
spirals at fixed mass. This star formation is more obscured than in blue
galaxies and its optical signatures are weak. They appear predominantly in the
stellar mass range of log M*/Msol=[10,11] where they constitute over half of
the star-forming galaxies in the cluster; they are thus a vital ingredient for
understanding the overall picture of star formation quenching in clusters. We
find that the mean specific SFR of star-forming galaxies in the cluster is
clearly lower than in the field, in contrast to the specific SFR properties of
blue galaxies alone, which appear similar in cluster and field. Such a rich red
spiral population is best explained if quenching is a slow process and
morphological transformation is delayed even more. At log M*/Msol<10, such
galaxies are rare, suggesting that their quenching is fast and accompanied by
morphological change. We note, that edge-on spirals play a minor role; despite
being dust-reddened they form only a small fraction of spirals independent of
environment.Comment: Accepted for publication in MNRA
SUPPORT VECTOR CLASSIFIER VIA MATHEMATICA
In this case study a Support Vector Classifier function has been developed
in Mathematica. Starting with a brief summary of support vector classification method,
the step by step implementation of the classification algorithm in
Mathematica is presented and explained. To check our function, two test problems,
learning a chess board and classification of two intertwined spirals are
solved. In addition, an application to filtering of airborne digital land
image by pixel classification is demonstrated using a new SVM kernel family,
the KMOD, a kernel with moderate decreasing
The Hierarchical Origins of Observed Galaxy Morphology
Galaxies grow primarily via accretion-driven star formation in discs and
merger-driven growth of bulges. These processes are implicit in semi-analytical
models of galaxy formation, with bulge growth in particular relating directly
to the hierarchical build-up of halos and their galaxies. In this paper, we
consider several implementations of two semi-analytical models. Focusing on
implementations in which bulges are formed during mergers only, we examine the
fractions of elliptical galaxies and both passive and star-forming disk
galaxies as functions of stellar and halo mass, for central and satellite
systems. This is compared to an observational cross-matched SDSS+RC3 z ~ 0
sample of galaxies with accurate visual morphological classifications and
M_{stellar} > 10^10.5 M_{sol}. The models qualitatively reproduce the observed
increase of elliptical fraction with stellar mass, and with halo mass for
central galaxies, supporting the idea that observed ellipticals form during
major mergers. However, the overall elliptical fraction produced by the models
is much too high compared with the z ~ 0 data. Since the "passive" -- i.e.
non-star-forming -- fractions are approximately reproduced, and since the
fraction which are star-forming disc galaxies is also reproduced, the problem
is that the models overproduce ellipticals at the expense of passive S0 and
spiral galaxies. Bulge-growth implementations (tuned to reproduce simulations)
which allow the survival of residual discs in major mergers still destroy too
much of the disc. Increasing the lifetime of satellites, or allowing
significant disc regrowth around merger remnants, merely increases the fraction
of star-forming disc galaxies. Instead, it seems necessary to reduce the mass
ratios of merging galaxies, so that most mergers produce modest bulge growth in
disc-galaxy remnants instead of ellipticals. [Abridged]Comment: latex, 20 pages, 13 figures. Accepted by Monthly Notices. Source
package includes full version of Table 1 from paper (file
sdssrc3_table_for_paper.tab
The Internal Ultraviolet-to-Optical Color Dispersion: Quantifying the Morphological K-Correction
We present a quantitative measure of the internal color dispersion within
galaxies, which quantifies differences in morphology as a function of
wavelength. We apply this statistic to a local galaxy sample with archival
images at 1500 and 2500 Angstroms from the Ultraviolet Imaging Telescope, and
ground-based B-band observations to investigate how the color dispersion
relates to global galaxy properties. The intenal color dispersion generally
correlates with transformations in galaxy morphology as a function of
wavelength, i.e., it quantifies the morphological K-correction. Mid-type spiral
galaxies exhibit the highest dispersion in their internal colors, which stems
from differences in the bulge, disk, and spiral-arm components. Irregulars and
late-type spirals show moderate internal color dispersion, which implies that
young stars generally dominate the colors. Ellipticals, lenticulars, and
early-type spirals generally have low or negligible internal color dispersion,
which indicates that the stars contributing to the UV-to-optical emission have
a very homogeneous distribution. We discuss the application of the internal
color dispersion to high-redshift galaxies in deep, Hubble Space Telescope
images. By simulating local galaxies at cosmological distances, many of the
galaxies have luminosities that are sufficiently bright at rest--frame optical
wavelengths to be detected within the limits of the currently deepest
near-infrared surveys even with no evolution. Under assumptions that the
luminosity and color evolution of the local galaxies conform with the measured
values of high-redshift objects, we show that galaxies' intrinsic internal
color dispersion remains measurable out to z ~ 3.Comment: Accepted for publication in the Astrophysical Journal. 41 pages, 13
figures (3 color). Full resolution version (~8 Mb) available at
http://mips.as.arizona.edu/~papovich/papovich_astroph.p
Co-evolution: Applications and Implications for Governance Research in Communication Studies
A co-evolutionary theoretical framework offers new concepts and methods for communication governance researchers. These concepts and methods are particularly well suited to study problems with strong interdependencies between actors. Such problems often develop in a dynamic, open-ended way and are associated with high levels of uncertainty. Many important, pressing governance tasks in convergent communication sectors, such as efforts to regulate digital platforms, could benefit from integrating insights from co-evolutionary models. For some problems, such as global internet governance, co-evolutionary models may be the only way to develop a robust understanding of the available governance options. This chapter introduces the co-evolution concept, points to applications in communication governance research, and presents models and tools that could enrich future research. It also highlights the implications of its applications for communications governance, summarizes the strengths and limitations of the approach, and gives a brief outlook of further developments
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