1,396 research outputs found
Metastable states of the Ising chain with Kawasaki dynamics
We consider a ferromagnetic Ising chain evolving under Kawasaki dynamics at
zero temperature. We investigate the statistics of the metastable
configurations in which the system gets blocked (statistics of energy, spin
correlations, distribution of domain sizes). A systematic comparison is made
with analytical predictions for the ensemble of all blocked configurations
taken with equal a priori weights (Edwards approach).Comment: 22 pages, 3 Tables, 6 Figure
Statistics of the occupation time for a class of Gaussian Markov processes
We revisit the work of Dhar and Majumdar [Phys. Rev. E 59, 6413 (1999)] on
the limiting distribution of the temporal mean M_{t}=t^{-1}\int_{0}^{t}du
\sign y_{u}, for a Gaussian Markovian process depending on a parameter
, which can be interpreted as Brownian motion in the scale of time
. This quantity, for short the mean `magnetization', is
simply related to the occupation time of the process, that is the length of
time spent on one side of the origin up to time t. Using the fact that the
intervals between sign changes of the process form a renewal process in the
time scale t', we determine recursively the moments of the mean magnetization.
We also find an integral equation for the distribution of . This allows
a local analysis of this distribution in the persistence region ,
as well as its asymptotic analysis in the regime where is large. We
finally put the results thus found in perspective with those obtained by Dhar
and Majumdar by another method, based on a formalism due to Kac.Comment: latex, 31 page
Distinguishing between cognitive explanations of the problem size effect in mental arithmetic via representational similarity analysis of fMRI data
Not all researchers interested in human behavior remain convinced that modern neuroimaging techniques have much to contribute to distinguishing between competing cognitive models for explaining human behavior, especially if one removes reverse inference from the table. Here, we took up this challenge in an attempt to distinguish between two competing accounts of the problem size effect (PSE), a robust finding in investigations of mathematical cognition. The PSE occurs when people solve arithmetic problems and indicates that numerically large problems are solved more slowly and erroneously than small problems. Neurocognitive explanations for the PSE can be categorized into representation-based and process-based views. Behavioral and traditional univariate neural measures have struggled to distinguish between these accounts. By contrast, a representational similarity analysis (RSA) approach with fMRI data provides competing hypotheses that can distinguish between accounts without recourse to reverse inference. To that end, our RSA (but not univariate) results provided clear evidence in favor of the representation-based over the process-based account of the PSE in multiplication; for addition, the results were less clear. Post-hoc similarity analysis distinguished still further between competing representation-based theoretical accounts. Namely, data favored the notion that individual multiplication problems are stored as individual memory traces sensitive to input frequency over a strictly magnitude-based account of memory encoding. Together, these results provide an example of how human neuroimaging evidence can directly inform cognitive-level explanations of a common behavioral phenomenon, the problem size effect. More broadly, these data may expand our understanding of calculation and memory systems in general
Prediction of runoff and discharge in the Simiyu River (tributary of Lake Victoria, Tanzania) using the WetSpa model
International audienceA spatially distributed hydrologic model (WetSpa) is used to estimate daily river water discharge in the Simiyu river a tributary of Lake Victoria, Tanzania. The model combines topography, landuse and soil maps, and observed daily meteorological time series to predict discharge hydrographs and the spatial distribution of hydrological parameters in the catchment. The elevations in the catchment range from 2000 to 1100 m at the outlet, with average slope of 1.4%. The dominant landuse types are, wasteland, grassland, bushland, cultivated land, and a very small area is covered by surface water. The dominant soil types are sandy loam, followed by sandy clay loam, clay loam, clay, loam and sandy clay. There are two distinctive seasons in the Simiyu catchment. Short rains mainly in November, December and January, and long rains in March to May, resulting in a total average annual precipitation of 700 to 1000 mm. The annual potential evapotranspiration is about 1300 mm, and the river discharge at the catchment outlet ranges from 0 to about 200 m3/s. Global parameters of the model are calibrated using three years of daily observed discharge values measured at the mouth of the river at Lake Victoria. The estimated average travel time of the runoff to the outlet of the catchment is about 2.4 d and maximum 8 d for the most remote areas. The model results also show that the surface runoff and interflow provide respectively 38.6% and 61.4% of the total runoff, while the contribution of groundwater drainage is nil. The absence of groundwater drainage is probably due to the high evaporation demand of the atmosphere, which accounts for about 90% of the total precipitation being lost by evapotranspiration. The annual water balance estimated with the model reveals that the total outflow to Lake Victoria is about 500×106 m3 per year, which occurs mainly in the wet seasons, i.e. from March to May and from November to January. The volume of runoff produced by agricultural land amounts to about 9% of the total runoff annually
Simulation of hydrological processes in the Simiyu River, tributary of Lake Victoria, Tanzania
A spatially-distributed hydrologic model (WetSpa) is used to simulate hydrologic processes in the Simiyu River, a tributary of Lake Victoria, Tanzania. The model combines digital maps of topography, land-use and soil texture with observed daily meteorological time series to predict discharge hydrographs and spatial distribution of hydrologic parameters in the basin. The model was calibrated using 3 years of daily observed discharge measured at the mouth of the river at Lake Victoria. The estimated average travel time of the runoff to the outlet of the basin is about 2.4 days and a maximum of 8 days for the most remote areas. The model results show that the surface runoff and interflow provide, respectively, 38.6% and 61.4% of the total discharge, while the contribution of groundwater drainage is about nil. The absence of groundwater drainage is likely due to the high evaporative demand of the atmosphere, which accounts for about 90% of the total precipitation being lost by evapotranspiration. The annual water balance estimated with the model reveals that the total outflow to Lake Victoria is about 475 x 106 m3 per year, which occurs mainly in the wet seasons, i.e. from March to May and from November to January. The discharge volume produced by agricultural land amounts to about 43 x 106 m3 and may carry agrochemicals to Lake Victoria
Post-AGB stars in the Magellanic Clouds and neutron-capture processes in AGB stars
We explore modifications to the current scenario for the slow neutron capture
process in asymptotic giant branch (AGB) stars to account for the Pb deficiency
observed in post-AGB stars of low metallicity ([Fe/H] ~ -1.2) and low initial
mass (~ 1 - 1.5 Msun) in the Large and Small Magellanic Clouds. We calculated
the stellar evolution and nucleosynthesis for a 1.3 Msun star with [Fe/H]=-1.3
and tested different amounts and distributions of protons leading to the
production of the main neutron source within the 13C-pocket and proton
ingestion scenarios. No s-process models can fully reproduce the abundance
patterns observed in the post-AGB stars. When the Pb production is lowered the
abundances of the elements between Eu and Pb, such as Er, Yb, W, and Hf, are
also lowered to below those observed. Neutron-capture processes with neutron
densities intermediate between the s and the rapid neutron-capture processes
may provide a solution to this problem and be a common occurrence in low-mass,
low-metallicity AGB stars.Comment: 6 pages, 4 figures. To be published in Astronomy and Astrophysic
Partial survival and inelastic collapse for a randomly accelerated particle
We present an exact derivation of the survival probability of a randomly
accelerated particle subject to partial absorption at the origin. We determine
the persistence exponent and the amplitude associated to the decay of the
survival probability at large times. For the problem of inelastic reflection at
the origin, with coefficient of restitution , we give a new derivation of
the condition for inelastic collapse, , and determine
the persistence exponent exactly.Comment: 6 page
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