337 research outputs found
The M16 molecular complex under the influence of NGC6611. Herschel's perspective of the heating effect on the Eagle Nebula
We present Herschel images from the HOBYS key program of the Eagle Nebula
(M16) in the far-infrared and sub-millimetre, using the PACS and SPIRE cameras
at 70{\mu}m, 160{\mu}m, 250{\mu}m, 350{\mu}m, 500{\mu}m. M16, home to the
Pillars of Creation, is largely under the influence of the nearby NGC6611
high-mass star cluster. The Herschel images reveal a clear dust temperature
gradient running away from the centre of the cavity carved by the OB cluster.
We investigate the heating effect of NGC6611 on the entire M16 star-forming
complex seen by Herschel including the diffuse cloud environment and the dense
filamentary structures identified in this region. In addition, we interpret the
three-dimensional geometry of M16 with respect to the nebula, its surrounding
environment, and the NGC6611 cavity. The dust temperature and column density
maps reveal a prominent eastern filament running north-south and away from the
high-mass star-forming central region and the NGC6611 cluster, as well as a
northern filament which extends around and away from the cluster. The dust
temperature in each of these filaments decreases with increasing distance from
the NGC6611 cluster, indicating a heating penetration depth of \sim 10 pc in
each direction in 3 - 6 \times 10^{22} cm-2 column density filaments. We show
that in high-mass star-forming regions OB clusters impact the temperature of
future star-forming sites, modifying the initial conditions for collapse and
effecting the evolutionary criteria of protostars developed from spectral
energy distributions. Possible scenarios for the origin of the morphology seen
in this region are discussed, including a western equivalent to the eastern
filament, which was destroyed by the creation of the OB cluster and its
subsequent winds and radiation.Comment: 12 pages, including 3 appendix, 9 figures, accepted by A&
Patterns and Collective Behavior in Granular Media: Theoretical Concepts
Granular materials are ubiquitous in our daily lives. While they have been a
subject of intensive engineering research for centuries, in the last decade
granular matter attracted significant attention of physicists. Yet despite a
major efforts by many groups, the theoretical description of granular systems
remains largely a plethora of different, often contradicting concepts and
approaches. Authors give an overview of various theoretical models emerged in
the physics of granular matter, with the focus on the onset of collective
behavior and pattern formation. Their aim is two-fold: to identify general
principles common for granular systems and other complex non-equilibrium
systems, and to elucidate important distinctions between collective behavior in
granular and continuum pattern-forming systems.Comment: Submitted to Reviews of Modern Physics. Full text with figures (2Mb
pdf) avaliable at
http://mti.msd.anl.gov/AransonTsimringReview/aranson_tsimring.pdf Community
responce is appreciated. Comments/suggestions send to [email protected]
Ligand-Receptor Interactions
The formation and dissociation of specific noncovalent interactions between a
variety of macromolecules play a crucial role in the function of biological
systems. During the last few years, three main lines of research led to a
dramatic improvement of our understanding of these important phenomena. First,
combination of genetic engineering and X ray cristallography made available a
simultaneous knowledg of the precise structure and affinity of series or
related ligand-receptor systems differing by a few well-defined atoms. Second,
improvement of computer power and simulation techniques allowed extended
exploration of the interaction of realistic macromolecules. Third, simultaneous
development of a variety of techniques based on atomic force microscopy,
hydrodynamic flow, biomembrane probes, optical tweezers, magnetic fields or
flexible transducers yielded direct experimental information of the behavior of
single ligand receptor bonds. At the same time, investigation of well defined
cellular models raised the interest of biologists to the kinetic and mechanical
properties of cell membrane receptors. The aim of this review is to give a
description of these advances that benefitted from a largely multidisciplinar
approach
THOR - The HI, OH, Recombination Line Survey of the Milky Way - The pilot study: HI observations of the giant molecular cloud W43
To study the atomic, molecular and ionized emission of Giant Molecular Clouds (GMCs), we have initiated a Large Program with the VLA: 'THOR - The HI, OH, Recombination Line survey of the Milky Way'. We map the 21cm HI line, 4 OH lines, 19 H_alpha recombination lines and the continuum from 1 to 2 GHz of a significant fraction of the Milky Way (l=15-67deg, |b|<1deg) at ~20" resolution. In this paper, we focus on the HI emission from the W43 star-formation complex. Classically, the HI 21cm line is treated as optically thin with column densities calculated under this assumption. This might give reasonable results for regions of low-mass star-formation, however, it is not sufficient to describe GMCs. We analyzed strong continuum sources to measure the optical depth, and thus correct the HI 21cm emission for optical depth effects and weak diffuse continuum emission. Hence, we are able to measure the HI mass of W43 more accurately and our analysis reveals a lower limit of M=6.6x10^6 M_sun, which is a factor of 2.4 larger than the mass estimated with the assumption of optically thin emission. The HI column densities are as high as N(HI)~150 M_sun/pc^2 ~ 1.9x10^22 cm^-2, which is an order of magnitude higher than for low mass star formation regions. This result challenges theoretical models that predict a threshold for the HI column density of ~10 M_sun/pc^2, at which the formation of molecular hydrogen should set in. By assuming an elliptical layered structure for W43, we estimate the particle density profiles. While at the cloud edge atomic and molecular hydrogen are well mixed, the center of the cloud is strongly dominated by molecular hydrogen. We do not identify a sharp transition between hydrogen in atomic and molecular form. Our results are an important characterization of the atomic to molecular hydrogen transition in an extreme environment and challenges current theoretical models
Systematic Evaluation of Nanomaterial Toxicity: Utility of Standardized Materials and Rapid Assays
Сетевая система контроля технологического процесса выращивания полупроводниковых кристаллов и тонких пленок
Экспериментальное моделирование аппаратно-программного обеспечения показало достаточную надежность работы системы и значительное уменьшение трудоемкости контроля и управления параметрами технологического процесса
Midwest Macro Conference
Abstract This paper takes a fresh look into Africa's growth experience by using the Bayesian Model Averaging (BMA) methodology. BMA enables us to consider a large number of potential explanatory variables and sort out which of these variable can e¤ectively explain Africa's growth experience. Posterior coe¢ cient estimates reveal that key engines of growth in Africa are substantially di¤erent from those in the rest of the world. More precisely, it is shown that mining, primary exports and initial primary education exerted di¤erential e¤ect on African growth. These results are examined in relation to the existing literature. JEL Classi…cation: O40, O47. Keywords: Africa, growth determinants, model uncertainty, Bayesian Model Averaging (BMA). We thank the editor Steven Durlauf and an anonymous referee for valuable comments and suggestions. We also thank seminar participants a
75 Years of Development Research Conference
Abstract This paper takes a fresh look into Africa's dismal growth performance by using the Bayesian Model Averaging (BMA) methodology. We estimate the posterior probability of a large number of potential explanatory variables and cross-country regression models. In large, we Þnd that determinants of growth in Africa are strikingly different from the rest of the world. In addition, growth regression models that best explain global growth do poorly in explaining African growth, and conversely
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