2,469 research outputs found
Beyond Mean Field Confrontation of Different Models with High Transverse Momentum Proton Spectra
Several models have been proposed to simulate heavy ion reactions beyond the
mean field level. The lack of data in phase space regions which may be
sensitive to different treatments of fluctuations made it difficult to judge
these approaches. The recently published high energy proton spectra, measured
in the reaction 94 AMeV Ar + Ta, allow for the first time for a comparison of
the models with data. We find that these spectra are reproduced by Quantum
Molecular Dynamics (QMD) and Boltzmann Uehling Uhlenbeck (BUU) calculations.
Models like Boltzmann Langevin (BL) in which additional fluctuations in
momentum space are introduced overpredict the proton yield at very high
energies. The BL approach has been successfully used to describe the recently
measured very subthreshold kaon production assuming that the fluctuations
provide the necessary energy to overcome the threshold in two body collisions.
Our new findings suggest that the very subthreshold kaon production cannot be
due to two body scattering and thus remains a open problem.Comment: 5 pages, 3 figures (eps), revte
Le suivi du régime hydrologique des grands fleuves de l'Ouest Africain : apport de l'imagerie satellitaire NOAA/AVHRR
Le Projet, « suivi de la végétation en zone tropicale » de l'Institut des Applications de la Télédétection au Centre Commun de Recherche des Communautés Européennes d'lspra, a mis au point et alimente en permanence une banque de données satellitaires NOAA/AVHRR. On présente ici la méthodologie développée pour une utilisation de cette banque de données, à des fins hydrologiques, et les résultats d'une première application dans le cadre d'une étude menée en commun, par le Projet et le Département des Eaux Continentales de I'ORSTOM.Cette étude réalisée sur la Falème, affluent du fleuve Sénégal, le Haut Niger et le Konkoure donne des résultats encourageants quant à la possibilité d'utiliser des descripteurs d'états de la surface, tirés de la banque de données NOAA/AVHRR, comme données d'entrée pour la modélisation hydrologique, au pas de temps mensuel, des grands bassins de l'Ouest Africain.Il serait peut-être ainsi possible de suivre les modifications des régimes hydrologiques de ces grands fleuves liées à des modifications éventuelles, naturelles ou anthropiques, de leur environnement.The project « Monitoring Tropical Vegetation » (MTV) of the Institute for Remote Sensing Applications-Joint Research Center of the European Communities, Ispra Establishment, has created and continually updated a NOAA:AVHRR Imagery data bank. We describe here the proposed methodology to use this data bank for hydrological purposes and the results of an initial application, within a joint research, performed by the MTV Project and the Department for Continental Waters of ORSTOM.The knowledge and the monitoring of the hydrological regimes of large watersheds, especially in the inter-tropical zone, are obviously major topics for hydrology. Interest shown by the scientific community of hydrologists catches up with the goals that are environment protection and « reasonable » sustainable socioeconomic development of these inter-tropical environments, for which a good understanding of the hydrological cycle and water balance is necessary.A lot of studies, which have already been carried out in order to reach these issues, very often include rainfall runoff relationship modeling, about which it is well known that there is a strong influence of surface conditions. But if many research program dealt with that particular point, few things in fact have been done on small scale basis, for large river basins. Taking into account the kind of information needed for the characterization of surface conditions at the required time and space perception levels (i.e. seasonal and interannual dynamics, large geographical expanses) and due to the fact that it was possible to utilize classical tools and techniques for data collection, satellite-based remote Sensing techniques were obviously the only ones which could contribute to start in answering the question.The aim of this study is to demonstrate that a real possibility exists to obtain, by an appropriate use of the NOAA imagery, relevant informations related to the time and space dynamics of the surface conditions, (more precisely about eh evolution of the vegetation cover status), which can be used as quantitative inputs for hydrological models for the West African large watersheds.This study has been conducted through three phases.First, five groups of basins have been selected along a north to south transect which intersects pile all the major ecological systems of this part of the African continent, from the soudano-sahelian zone to the guiean one. Using scientific and technical criteria, but also taking into account the fact that some of this basins are of particular interest for development projects conducted by the EC in West Africa, 3 watersheds have been selected. The Falkeme river, a tributary of the Senegal river, the Upper Niger and the Konkoure. The main characteristics of these basins are given in the text.Then, we have defined the methodological approach with 3 major steps :- creation of date banks for runoff and rainfall, satellite time series and cartographic information (basin boundaries),- extraction, from the satellite imagery, of the indexes we selected to describe the surface conditions,- joint analysis of hydrological and remotely sensed data for 2 years with important hydrological contrasts.The hydrological data bank contains the monthly mean discharges and rainfall for 5 selected basins, from year 1980/1981 to year 1988/1989 (hydrological year).The creation of the satellite data bank started with the preparation of a NOAA-AVHRR HRPT time series including the years 1987, 1988 and a part of 1989. Each of the image we choose (no clouds or as less as possible and with orbital characteristics allowing a 3° W flight over the Equator in order to mitigate the image distortion) has been processed using a processing chain (installed al MTV project).Radiometric corrections have been made to avoid calibration differences between the AVHRR sensors of NOAA 7, 9 and 11.The computation of the derived channels is done through the transformation of the original data provided by the AVHRR sensor into values which are easier to interpret in terms of surface conditions.Three radiometric indexes have been kept :- the vegetation index (NDVI), computed by combination of records in the red and mean infrared bands, which is a good indicator of the vegetal chlorophilian caver on the land surface (Townsed and Justice, 1986),- the surface temperature (TS), computed by the « split window method, using the brightness temperatures in the AVHRR 4 and 5 channels,- the signal, in numerical count, recorded by AVHRR 3 channel. This mean infra-red channel (3.55-3.93 µm) is of great interest. First it records the radiation emitted from the surface and, being very sensitive to the high temperature emissions, is very useful for bush fires detection. Secondly, it records a reflected composent which gives information on clearings within vegetated surfaces. By combining the 2 signals, it is possible to detect the bush fires which are known to affect, each year, large extents of vegetation cover, and to made the differentiation between different vegetation covers, particularly in forest areas or forest-savannah transition zone.Resulting images have been geometrically corrected and resampling of radiometric signals done by cubic convolution method. The final product is a 5 bands image (TS, NDVI, albedo, atmospherical water contents and channel 3 inverted) of 2400 x 1600 pixels (pixel size is 1 km), with geometrical rectification and centered 7° W, 10° N. It must be borne in mind that the radiometric signals are not corrected for the atmospheric effects. That explains why we are rather more interested in the evolution in time of the indexes values than in their absolute values. From these 5 channels images, sub-images of 500 x 500 km are extracted to cover areas of interest for the study of the selected river basins.The graphic data base contains the digitized basins boundaries. These files have been geometrically corrected using reference points, both on the 1/1 000 000 map and on the NOAA:AVHRR HRPT images, in order to be superimposable to these images. After that, the basins are located on the images and using the CHIPS software statistical descriptors of watersheds surface characteristics are derived.In a third step, we have applied our methodology to the Faleme river basin. The main hydrological data for the 4 hydrological stations within the basin are given in the text. 1987/1988 an 1988/1989 years has been compared among to each others and to the long term average values. One can remark that, as far as rainfall is concerned, the selected years are very close to the long term average annual rainfall, while runoff during 1987/1988 is clearly lower than the long terra average discharge, and that is true for all the basins. Runoff increase for 1988/1989, compared for the year before, is more than 100 %, while annual rainfall are quite equivalent. That can he explained by a difference in the time distribution of rainfall during these two hydrological years. In fact it is observed that runoff for 1988/1989 starts and ceases earlier than for 1987/1988. So the high values of rainfall at the very beginning of the rainy season 1988/1989 have been propitious to runoff, whereas a more homogeneous rainfall repartition during the rainy season, the year before, has given a higher rate of infiltration and probably an easiest use of water by vegetation.These differences in terms of total annual rainfall and in time distribution along the year, should have bar, an effect on vegetation dynamic for the two years, and subsequently on the radiometric responses of the surface.In fact, analysis of dynamics of the signal in the NDVI and the medium infrared band shows that :- a minimum is reached for the NDVI value during February for 1987/1988, December for 1988/1989,- a clear shifting between the curves related of the different basins. At the same date, the mean value is always higher for the upstream parts of the basin, with a denser vegetation cover, than for lower part of the basin integrates downstream flat areas,- a very low mean value for the NDVI as early as December 1988, lower than 0.10, which is to be compared to the threshold value 0.05 given as the normal value corresponding to a very sparse herbaceous cover (1 % coverage),- much steeper slopes immediately at the end of the rainy season and beginning of the dry season 1988/1989 than for 1987/1988. This indicates a much faster drying up process for the herbaceous stratum.When looking at the dynamics of the signal in the mean infra-red band, one can see that for the Faleme basin at Kidira during the year 1987 the shape of the distribution histogram changes as we are sinking deeper into the dry season. Starting from a bimodal form it reaches finally an unimodal one. This phenomenon indicates a gradual drying up of the entire basin with as a result a homogenization of the radiometric values.A date la date comparison of the 1987 and 1988 histograms shows that, as early as November 1988, the distribution is unimodal with a mean value higher than in 1987. The fact that homogeneity kept on during the warn-up period indicates that the main part of the vegetation cover, and particularly the herbaceous stratum, was already dry in November 1988.All these observations tend to show that it is possible to perceive, on one hand space-time distribution of rainfall and on the other hand the relative importance of grass in the vegetation.Finally this study has been extended to the Upper Niger and the Konkoure basins. All the above observations related to the Faleme river basin are corroborated by the temporal evolution of the standard deviation values of NDVI.In conclusion, we can say that this study bears encouraging results as regard as to the possible use of descriptive indicators of the surface conditions derived from the NORA AVHRR data bank, as inputs for the hydrological models, on a monthly basis, of large West African watersheds.Thus, it may be possible to evaluate the changes in these large rivers regimes, in relation with changes, either natural or due to human activities affecting their environment
Neutron scattering study of ferroelectric Sn2P2S6 under pressure
Ferroelectric phase transition in the semiconductor Sn2P2S6 single crystal
has been studied by means of neutron scattering in the pressure-temperature
range adjacent to the anticipated tricritical Lifshitz point (p=0.18GPa,
T=296K). The observations reveal a direct ferroelectric-paraelectric phase
transition in the whole investigated pressure range (0.18 - 0.6GPa). These
results are in a clear disagreement with phase diagrams assumed in numerous
earlier works, according to which a hypothetical intermediate incommensurate
phase extends over several or even tens of degrees in the 0.5GPa pressure
range. Temperature dependence of the anisotropic quasielastic diffuse
scattering suggests that polarization fluctuations present above TC are
strongly reduced in the ordered phase. Still, the temperature dependence of the
(200) Bragg reflection intensity at p=0.18GPa can be remarkably well modeled
assuming the order-parameter amplitude growth according to the power law with
logarithmic corrections predicted for a uniaxial ferroelectric transition at
the tricritical Lifshitz point
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A scanning AC calorimetry technique for the analysis of nano-scale quantities of materials
We present a scanning AC nanocalorimetry method that enables calorimetry measurements at heating and cooling rates that vary from isothermal to 2 Ă— 10^3 K/s, thus bridging the gap between traditional scanning calorimetry of bulk materials and nanocalorimetry. The method relies on a micromachined nanocalorimetry sensor with a serpentine heating element that is sensitive enough to make measurements on thin-film samples and composition libraries. The ability to perform calorimetry over such a broad range of scanning rates makes it an ideal tool to characterize the kinetics of phase transformations or to explore the behavior of materials far from equilibrium. We demonstrate the technique by performing measurements on thin-film samples of Sn, In, and Bi with thicknesses ranging from 100 to 300 nm. The experimental heat capacities and melting temperatures agree well with literature values. The measured heat capacities are insensitive to the applied AC frequency, scan rate, and heat loss to the environment over a broad range of experimental parameters
Adaptive latitudinal variation in Common Blackbird Turdus merula nest characteristics
Nest construction is taxonomically widespread, yet our understanding of adaptive
intraspecific variation in nest design remains poor. Nest characteristics are
expected to vary adaptively in response to predictable variation in spring temperatures
over large spatial scales, yet such variation in nest design remains largely
overlooked, particularly amongst open-cup-nesting birds. Here, we systematically
examined the effects of latitudinal variation in spring temperatures and precipitation
on the morphology, volume, composition, and insulatory properties of
open-cup-nesting Common Blackbirds’ Turdus merula nests to test the hypothesis
that birds living in cooler environments at more northerly latitudes would build
better insulated nests than conspecifics living in warmer environments at more
southerly latitudes. As spring temperatures increased with decreasing latitude, the
external diameter of nests decreased. However, as nest wall thickness also
decreased, there was no variation in the diameter of the internal nest cups. Only
the mass of dry grasses within nests decreased with warmer temperatures at lower
latitudes. The insulatory properties of nests declined with warmer temperatures at
lower latitudes and nests containing greater amounts of dry grasses had higher insulatory
properties. The insulatory properties of nests decreased with warmer temperatures
at lower latitudes, via changes in morphology (wall thickness) and
composition (dry grasses). Meanwhile, spring precipitation did not vary with latitude,
and none of the nest characteristics varied with spring precipitation. This suggests
that Common Blackbirds nesting at higher latitudes were building nests with
thicker walls in order to counteract the cooler temperatures. We have provided evidence
that the nest construction behavior of open-cup-nesting birds systematically
varies in response to large-scale spatial variation in spring temperatures
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Scanning AC nanocalorimetry combined with in-situ x-ray diffraction
Micromachined nanocalorimetry sensors have shown excellent performance for high-temperature and high-scanning rate calorimetry measurements. Here, we combine scanning AC nanocalorimetry with in-situ x-ray diffraction (XRD) to facilitate interpretation of the calorimetry measurements. Time-resolved XRD during in-situ operation of nanocalorimetry sensors using intense, high-energy synchrotron radiation allows unprecedented characterization of thermal and structural material properties. We demonstrate this experiment with detailed characterization of the melting and solidification of elemental Bi, In, and Sn thin-film samples, using heating and cooling rates up to 300 K/s. Our experiments show that the solidification process is distinctly different for each of the three samples. The experiments are performed using a combinatorial device that contains an array of individually addressable nanocalorimetry sensors. Combined with XRD, this device creates a new platform for high-throughput mapping of the composition dependence of solid-state reactions and phase transformations
Combined Catalysis and Optical Screening for High Throughput Discovery of Solar Fuels Catalysts
Considerable research and development efforts are being devoted to the efficient generation of solar fuels. A solar fuels device
couples a solar photoabsorber with catalysts to convert solar energy to chemical energy via reactions such as oxygen evolution
(water splitting). Widespread deployment of this technology hinges upon discovery of new materials through efforts such as the high
throughput screening of oxygen evolution catalysts, as discussed in this manuscript. We derive an expression for the efficiency of
the oxygen evolution catalyst that combines catalytic and optical properties. Using this hybrid efficiency, we screen 5456 samples in
a (Fe-Co-Ni-Ti)O_x pseudo-quaternary catalyst library using automated, high throughput electrochemical and optical experiments.
The observed compositional trends in this catalyst efficiency lead to the discovery of a new high performance composition region
Quantifying spatio-temporal boundary condition uncertainty for the North American deglaciation
Ice sheet models are used to study the deglaciation of North America at the
end of the last ice age (past 21,000 years), so that we might understand
whether and how existing ice sheets may reduce or disappear under climate
change. Though ice sheet models have a few parameters controlling physical
behaviour of the ice mass, they also require boundary conditions for climate
(spatio-temporal fields of temperature and precipitation, typically on regular
grids and at monthly intervals). The behaviour of the ice sheet is highly
sensitive to these fields, and there is relatively little data from geological
records to constrain them as the land was covered with ice. We develop a
methodology for generating a range of plausible boundary conditions, using a
low-dimensional basis representation of the spatio-temporal input. We derive
this basis by combining key patterns, extracted from a small ensemble of
climate model simulations of the deglaciation, with sparse spatio-temporal
observations. By jointly varying the ice sheet parameters and basis vector
coefficients, we run ensembles of the Glimmer ice sheet model that
simultaneously explore both climate and ice sheet model uncertainties. We use
these to calibrate the ice sheet physics and boundary conditions for Glimmer,
by ruling out regions of the joint coefficient and parameter space via history
matching. We use binary ice/no ice observations from reconstructions of past
ice sheet margin position to constrain this space by introducing a novel metric
for history matching to binary data
Vacuum Stability in Split Susy and Little Higgs Models
We study the stability of the effective higgs potential in the split
supersymmetry and Little Higgs models. In particular, we study the effects of
higher dimensional operators in the effective potential on the higgs mass
predictions. We find that the size and sign of the higher dimensional operators
can significantly change the higgs mass required to maintain vacuum stability
in Split Susy models. In the Little Higgs models the effects of higher
dimensional operators can be large because of a relatively lower cut-off scale.
Working with a specific model we find that a contribution from the higher
dimensional operator with coefficient of O(1) can destabilize the vacuum.Comment: Latex 22 pages, 3 figures. Added discussion, published versio
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