993 resultados para Mark correlation functions


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El bosque tropical de montaña, es considerado zona de mega diversidad y de alto grado de endemismo, por las diferentes zonas ecológicas que presenta. Durante las últimas décadas estos bosques han recibido mayor atención por parte de investigadores, sin embargo, aún existe poca investigación en determinar cuáles son las respuestas de los bosques a los cambios ambientales a los que son sometidos. Estos bosques están sufriendo serias amenazas como pérdida de cobertura vegetal y cambios en los ciclos de nutrientes. El trabajo se dividió en cuatro objetivos específicos. i) Caracterización y análisis de patrones altitudinales de la riqueza de especies en el bosque tropical de montaña en el sur del Ecuador; con el fin de conocer cómo varía la diversidad de especies riqueza lo largo de un gradiente altitudinal. ii) Conocer los patrones espaciales del crecimiento en tres remanentes boscosos de un bosque tropical de montaña para determinar cómo la vecindad y la semejanza funcional de ésta influyen en el crecimiento forestal. iii) Conocer los efectos de la fertilización en el crecimiento diamétrico de especies arbóreas, en el bosque tropical de montaña; se analizó cómo reaccionan los árboles a la adición de nutrientes N y P en tres tipos de bosque. iv) Saber la respuesta de la comunidad de árboles a la adición de nutrientes en el bosque montano andino; este objetivo se basó con el supuesto de la deficiencia de tres tipos de nutrientes N, P y Ca, en esta formación boscosa y cómo reaccionan los árboles a la adición de nutrientes. El presente trabajo se llevó a cabo, en el bosque tropical de montaña que se encuentra localizada en la parte adyacente del Parque Nacional Podocarpus (PNP) en la cordillera del Consuelo, forma parte de la cadena oriental de los Andes del sur del Ecuador El trabajo de desarrollo entre los años 2008 y 2014. Para abordar el primer objetivo se establecieron 54 parcelas ubicadas aleatoriamente a lo largo de un gradiente altitudinal (3 niveles de altitud) y se e midieron e identificaron todos los individuos mayores a 5cm de DAP. Se construyó una filogenia con Phylocom y se calcularon diferentes componentes de diversidad para cada parcela ( riqueza taxonómica, diversidad filogenética y edad media de las especies). Ajustando modelos lineares se contrastó el efecto de la altitud sobre dichos componentes y se vio que la riqueza taxonómica y la edad media de las especies aumentaron con la altitud, en sentido contrario a las predicciones de la "hipótesis del conservadurismo tropical" (Tropical Conservatism Hypothesis). Para abordar el segundo objetivo se realizó una remedición de todos los árboles cartografiados en tres parcelas permanentes de alrededor de 5000 m2 cada una, representativas de tres estados diferentes de la sucesión del bosque montano. A partir de las coordenadas y de los datos de registrados, y empleando diferentes funciones de correlación de marca se analizó la distribución espacial del tamaño y del crecimiento relativo y del tamaño. Se constató que mientras que el tamaño de los árboles presentó una correlación espacial negativa, el crecimiento presentó correlación espacial positiva, en ambos casos a distancias cortas. El rango y la magnitud de ambas correlaciones aumentaron al avanzar la sucesión. La distribución espacial del crecimiento mostró una correlación negativa con la distribución espacial de tamaños. Por otro lado, la distribución espacial del crecimiento mostró una correlación negativa para árboles semejantes funcionalmente y positiva cuando se calculó entre árboles con diferente estrategia funcional. En conjunto, los resultados obtenidos señalan un aumento de la importancia de procesos competitivos y una mayor estructuración espacial del crecimiento y de la distribución de tamaños al avanzar la sucesión. Para el tercer y cuarto objetivo se instalaron 52 parcelas distribuidas en bloques donde se fertilizaron dos veces al año durante 6,4 años, se identificaron todos los individuos mayores a 10 cm de DAP, y se midió el crecimiento diamétrico durante estos años Con la adición de nutrientes realizada a los diferentes tipos de bosque en la gradiente altitudinal, encontramos que el efecto sobre el crecimiento diamétrico en la comunidad varia con el rango altitudinal, y el tipo de nutriente, analizando a nivel de las especies, en la mayoría de los casos las especies comunes no tuvieron cambios significativos a la adición de nutrientes. Los resultados de este estudio aportan nuevas evidencias para el entendimiento de la diversidad, estructura y dinámica de los bosques tropicales de montaña. ABSTRACT The montane tropical forest is considered a megadiverse habitat that harbor an enormous degree of endemism. This is mainly due to the high degree of environmental heterogeneity found and the presence of different well defined ecological areas. These forests have received more attention during the last decades, however, the information regarding the responses of these forests to environmental change, is still scarce. These forests are seriously endangered and are suffering serious threats, such as loss of vegetative cover, changes in the nutrient cycles. The work was divided in four specific objectives: i) Characterization and analysis of the species richness altitudinal patterns in the montane tropical forest of south Ecuador. Specifically, how species diversity changes along altitudinal gradients. ii) Exploring the spatial patterns of tree growth in three remnants of a montane tropical forest, and analyze how tree neighborhood and functional similarity among trees influence tree growth. Tropical Conservatism Hypothesis iii) Understanding the effects of fertilization in arboreal species growth (increase in diameter) of the montane tropical forest. Specifically we studied the effects of P and N addition on three different forests across an altitudinal gradient. iv) Know the response of the community of trees to the addition of nutrients in the Andean montane forest; this objective was based on the supposition of deficiency of three types of nutrients: P, N and Ca in this forest all formation and how the trees react to the addition of these nutrients. The present work was carried out in the montane tropical forest located in Bombuscaro, San Francisco and Cajanuma close to Podocarpus National Park (PNP) on Consuelo mountain range (Andean oriental range) at South of Ecuador. Field work was carried out during 2008 and 2014. To address the first objective, we randomly placed 54 plots along an altitudinal gradient. In these plots, every individual larger than 5 cm of DBH was measured and identified. A phylogeny was build with Phylocom and different diversity components (taxonomic richness, phylogenetic diversity and average species age) were computed for each plot. Linear models were used to test the effects of altitude on the diversity components. Our results showed that, contrary to the Tropical Conservatism Hypothesis, both taxonomic richness and average species age increased with altitude. To address our second objective, all mapped trees in three successional permanent plots (around ~5000 m2 each) were re-measured. Using different mark correlation functions, we analyzed the spatial distribution of tree-size and tree relative growth rate. Whereas tree size showed negative spatial correlation at fine spatial scales, relative growth rate showed positive correlation at the same scales. The range and magnitude of those correlations increased along successional stage. The spatial distribution of the relative growth rate was negatively correlated with the spatial distribution of tree sizes. Additionally, we found that the spatial correlation of the relative growth rate was negative for functionally similar trees and positive when computed for functionally different trees. In synthesis, our results point to an increase of competitive processes and strong spatial structure of relative growth rate and tree size along succession. For the third and fourth objectives, 52 plots were placed in a block design and were fertilized twice a year for 6,4 years. In these plots all the individuals with DBH > 10 cm were identified, and the diametrical growth was measured during these years. The nutrient addition at the three different altitude forests, revealed that the effect on the diametrical growth in the community varied with the altitudinal range. When analyzed at species level, the addition of nutrients was no significant in most cases. These results represent new evidences that will improved our understanding of diversity patterns and structure, and the dynamics of tropical montane forests.

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Las funciones de segundo orden son cada vez más empleadas en el análisis de procesos ecológicos. En este trabajo presentamos dos funciones de 2º orden desarrolladas recientemente que permiten analizar la interacción espacio-temporal entre dos especies o tipos funcionales de individuos. Estas funciones han sido desarrolladas para el estudio de interacciones entre especies en masas forestales a partir de la actual distribución diamétrica de los árboles. La primera de ellas es la función bivariante para procesos de puntos con marca Krsmm, que permite analizar la correlación espacial de una variable entre los individuos pertenecientes a dos especies en función de la distancia. La segunda es la función de reemplazo , que permite analizar la asociación entre los individuos pertenecientes a dos especies en función de la diferencia entre sus diámetros u otra variable asociada a dichos individuos. Para mostrar el comportamiento de ambas funciones en el análisis de sistemas forestales en los que operan diferentes procesos ecológicos se presentan tres casos de estudio: una masa mixta de Pinus pinea L. y Pinus pinaster Ait. en la Meseta Norte, un bosque de niebla de la Región Tropical Andina y el ecotono entre las masas de Quercus pyrenaica Willd. y Pinus sylvestris L. en el Sistema Central, en los que tanto la función Krsmm como la función r se utilizan para analizar la dinámica forestal a partir de parcelas experimentales con todos los árboles localizados y de parcelas de inventario.

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We study a stochastic lattice model describing the dynamics of coexistence of two interacting biological species. The model comprehends the local processes of birth, death, and diffusion of individuals of each species and is grounded on interaction of the predator-prey type. The species coexistence can be of two types: With self-sustained coupled time oscillations of population densities and without oscillations. We perform numerical simulations of the model on a square lattice and analyze the temporal behavior of each species by computing the time correlation functions as well as the spectral densities. This analysis provides an appropriate characterization of the different types of coexistence. It is also used to examine linked population cycles in nature and in experiment.

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Superconducting pairing of electrons in nanoscale metallic particles with discrete energy levels and a fixed number of electrons is described by the reduced Bardeen, Cooper, and Schrieffer model Hamiltonian. We show that this model is integrable by the algebraic Bethe ansatz. The eigenstates, spectrum, conserved operators, integrals of motion, and norms of wave functions are obtained. Furthermore, the quantum inverse problem is solved, meaning that form factors and correlation functions can be explicitly evaluated. Closed form expressions are given for the form factors and correlation functions that describe superconducting pairing.

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The Zubarev equation of motion method has been applied to an anharmonic crystal of O( ,,4). All possible decoupling schemes have been interpreted in order to determine finite temperature expressions for the one phonon Green's function (and self energy) to 0()\4) for a crystal in which every atom is on a site of inversion symmetry. In order to provide a check of these results, the Helmholtz free energy expressions derived from the self energy expressions, have been shown to agree in the high temperature limit with the results obtained from the diagrammatic method. Expressions for the correlation functions that are related to the mean square displacement have been derived to 0(1\4) in the high temperature limit.

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This paper presents a new paradigm for signal reconstruction and superresolution, Correlation Kernel Analysis (CKA), that is based on the selection of a sparse set of bases from a large dictionary of class- specific basis functions. The basis functions that we use are the correlation functions of the class of signals we are analyzing. To choose the appropriate features from this large dictionary, we use Support Vector Machine (SVM) regression and compare this to traditional Principal Component Analysis (PCA) for the tasks of signal reconstruction, superresolution, and compression. The testbed we use in this paper is a set of images of pedestrians. This paper also presents results of experiments in which we use a dictionary of multiscale basis functions and then use Basis Pursuit De-Noising to obtain a sparse, multiscale approximation of a signal. The results are analyzed and we conclude that 1) when used with a sparse representation technique, the correlation function is an effective kernel for image reconstruction and superresolution, 2) for image compression, PCA and SVM have different tradeoffs, depending on the particular metric that is used to evaluate the results, 3) in sparse representation techniques, L_1 is not a good proxy for the true measure of sparsity, L_0, and 4) the L_epsilon norm may be a better error metric for image reconstruction and compression than the L_2 norm, though the exact psychophysical metric should take into account high order structure in images.

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We present model results for the two-halo-neutron correlation functions, C-nn, for the dissociation process of light exotic nuclei modelled as two neutrons and a core. A minimum is predicted for C-nn as a function of the relative momentum of the two neutrons, p(nn), due to the coherence of the neutrons in the halo and final state interaction. Studying the systems Be-14, Li-11, and He-6 within this model, we show that the numerical asymptotic limit, C-nn-> 1, occurs only for p(nn)greater than or similar to 400 MeV/c, while such limit is reached for much lower values of p(nn) in an independent particle model as the one used in the analysis of recent experimental data. Our model is consistent with data once the experimental correlation function is appropriately normalized.

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Multidimensional and one-dimensional quantum-statistical (Bose-Einstein) correlations are measured in proton proton collisions at 0.9, 2.76 and 7 TeV, in proton lead collisions at 5.02 TeV/nucleon pair and peripheral lead lead collisions at 2.76 TeV/nucleon pair center-of-mass energy with the CMS detector at the LHC. The correlation functions are extracted in terms of different components of the relative momentum of the pair, in order to investigate the extension of the emission source in different directions. The results are presented for different intervals of transverse pair momentum, k(T), and charged particle multiplicity of the collision, N-tracks, as well as for their integrated values. Besides inclusive charged particles, charged pions and kaons, identified via their energy loss in the silicon tracker detector, can also be correlated. The extracted source radii increase with increasing multiplicity, and decrease with increasing k(T). The results open the possibility to study scaling and factorization properties of these radii as a function of multiplicity, k(T), colliding system size and center-of-mass energy.

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I present a new experimental method called Total Internal Reflection Fluorescence Cross-Correlation Spectroscopy (TIR-FCCS). It is a method that can probe hydrodynamic flows near solid surfaces, on length scales of tens of nanometres. Fluorescent tracers flowing with the liquid are excited by evanescent light, produced by epi-illumination through the periphery of a high NA oil-immersion objective. Due to the fast decay of the evanescent wave, fluorescence only occurs for tracers in the ~100 nm proximity of the surface, thus resulting in very high normal resolution. The time-resolved fluorescence intensity signals from two laterally shifted (in flow direction) observation volumes, created by two confocal pinholes are independently measured and recorded. The cross-correlation of these signals provides important information for the tracers’ motion and thus their flow velocity. Due to the high sensitivity of the method, fluorescent species with different size, down to single dye molecules can be used as tracers. The aim of my work was to build an experimental setup for TIR-FCCS and use it to experimentally measure the shear rate and slip length of water flowing on hydrophilic and hydrophobic surfaces. However, in order to extract these parameters from the measured correlation curves a quantitative data analysis is needed. This is not straightforward task due to the complexity of the problem, which makes the derivation of analytical expressions for the correlation functions needed to fit the experimental data, impossible. Therefore in order to process and interpret the experimental results I also describe a new numerical method of data analysis of the acquired auto- and cross-correlation curves – Brownian Dynamics techniques are used to produce simulated auto- and cross-correlation functions and to fit the corresponding experimental data. I show how to combine detailed and fairly realistic theoretical modelling of the phenomena with accurate measurements of the correlation functions, in order to establish a fully quantitative method to retrieve the flow properties from the experiments. An importance-sampling Monte Carlo procedure is employed in order to fit the experiments. This provides the optimum parameter values together with their statistical error bars. The approach is well suited for both modern desktop PC machines and massively parallel computers. The latter allows making the data analysis within short computing times. I applied this method to study flow of aqueous electrolyte solution near smooth hydrophilic and hydrophobic surfaces. Generally on hydrophilic surface slip is not expected, while on hydrophobic surface some slippage may exists. Our results show that on both hydrophilic and moderately hydrophobic (contact angle ~85°) surfaces the slip length is ~10-15nm or lower, and within the limitations of the experiments and the model, indistinguishable from zero.

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2000 Mathematics Subject Classification: Primary 47A48, Secondary 60G12

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It was recently shown [Phys. Rev. Lett. 110, 227201 (2013)] that the critical behavior of the random-field Ising model in three dimensions is ruled by a single universality class. This conclusion was reached only after a proper taming of the large scaling corrections of the model by applying a combined approach of various techniques, coming from the zero-and positive-temperature toolboxes of statistical physics. In the present contribution we provide a detailed description of this combined scheme, explaining in detail the zero-temperature numerical scheme and developing the generalized fluctuation-dissipation formula that allowed us to compute connected and disconnected correlation functions of the model. We discuss the error evolution of our method and we illustrate the infinite limit-size extrapolation of several observables within phenomenological renormalization. We present an extension of the quotients method that allows us to obtain estimates of the critical exponent a of the specific heat of the model via the scaling of the bond energy and we discuss the self-averaging properties of the system and the algorithmic aspects of the maximum-flow algorithm used.

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We evaluate the mass of the B(s0) scalar meson and the coupling constant in the B(s0)BK vertex in the framework of QCD sum rules. We consider the B(s0) as a tetraquark state to evaluate its mass. We get m(Bs0) = (5.85 +/- 0.13) GeV, which is in agreement, considering the uncertainties, with predictions supposing it as a b (s) over bar state or a B (K) over bar bound state with J(P) = 0(+). To evaluate the g(Bs0BK) coupling, we use the three-point correlation functions of the vertex, considering B(s0) as a normal b (s) over bar state. The obtained coupling constant is: g(Bs0BK) = (16.3 +/- 3.2) GeV. This number is in agreement with light-cone QCD sum rules calculation. We have also compared the decay width of the B(s0) -> BK process considering the B(s0) to be a b (s) over bar state and a BK molecular state. The width obtained for the BK molecular state is twice as big as the width obtained for the b (s) over bar state. Therefore, we conclude that with the knowledge of the mass and the decay width of the B(s0) meson, one can discriminate between the different theoretical proposals for its structure.

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We report the first measurement of transverse single-spin asymmetries in J/psi production from transversely polarized p + p collisions at root s = 200 GeV with data taken by the PHENIX experiment in 2006 and 2008. The measurement was performed over the rapidity ranges 1.2 < vertical bar y vertical bar < 2.2 and vertical bar y vertical bar < 0.35 for transverse momenta up to 6 GeV/c. J/psi production at the Relativistic Heavy Ion Collider is dominated by processes involving initial-state gluons, and transverse single-spin asymmetries of the J/psi can provide access to gluon dynamics within the nucleon. Such asymmetries may also shed light on the long-standing question in QCD of the J/psi production mechanism. Asymmetries were obtained as a function of J/psi transverse momentum and Feynman-x, with a value of -0.086 +/- 0.026(stat) +/- 0.003(syst) in the forward region. This result suggests possible nonzero trigluon correlation functions in transversely polarized protons and, if well defined in this reaction, a nonzero gluon Sivers distribution function.

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The nuclear isotropic shielding constants sigma((17)O) and sigma((13)C) of the carbonyl bond of acetone in water at supercritical (P=340.2 atm and T=673 K) and normal water conditions have been studied theoretically using Monte Carlo simulation and quantum mechanics calculations based on the B3LYP/6-311++G(2d,2p) method. Statistically uncorrelated configurations have been obtained from Monte Carlo simulations with unpolarized and in-solution polarized solute. The results show that solvent effects on the shielding constants have a significant contribution of the electrostatic interactions and that quantitative estimates for solvent shifts of shielding constants can be obtained modeling the water molecules by point charges (electrostatic embedding). In supercritical water, there is a decrease in the magnitude of sigma((13)C) but a sizable increase in the magnitude of sigma((17)O) when compared with the results obtained in normal water. It is found that the influence of the solute polarization is mild in the supercritical regime but it is particularly important for sigma((17)O) in normal water and its shielding effect reflects the increase in the average number of hydrogen bonds between acetone and water. Changing the solvent environment from normal to supercritical water condition, the B3LYP/6-311++G(2d,2p) calculations on the statistically uncorrelated configurations sampled from the Monte Carlo simulation give a (13)C chemical shift of 11.7 +/- 0.6 ppm for polarized acetone in good agreement with the experimentally inferred result of 9-11 ppm. (C) 2008 American Institute of Physics.

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The STAR Collaboration at the BNL Relativistic Heavy Ion Collider has measured two-pion correlation functions from p + p collisions at root s = 200 GeV. Spatial scales are extracted via a femtoscopic analysis of the correlations, though this analysis is complicated by the presence of strong nonfemtoscopic effects. Our results are put into the context of the world data set of femtoscopy in hadron-hadron collisions. We present the first direct comparison of femtoscopy in p + p and heavy ion collisions, under identical analysis and detector conditions.