A characterization of the scientific impact of Brazilian institutionsIn this paper we studied the research activity of Brazilian Institutions for all sciences and also their performance in the area of physics between 1945 and December 2008. All the data come from the…Aristoklis D. Anastasiadis, Marcelo P. de Albuquerque, Marcio P. de Albuquerque·Feb 3, 2009SaveLearn
An optimal method to combine results from different experimentsThis article describes an optimal method (conflation) to consolidate data from different experiments, and illustrates the advantages of conflation by graphical examples involving gaussian input…Theodore P. Hill, Jack Miller·Jan 30, 2009SaveLearn
Flavour tag studies with the LCFIVertex packageIn this contribution the status of the flavour tagging performance for the LDCPrime detector model and studies of the track selection parameters and effects from beam backgrounds in flavour tagging…Roberval Walsh·Jan 30, 2009SaveLearn
Binomial and ratio-of-Poisson-means frequentist confidence intervals applied to the error evaluation of cut efficienciesThe evaluation of the error to be attributed to cut efficiencies is a common question in the practice of experimental particle physics. Specifically, the need to evaluate the efficiency of the cuts…Gioacchino Ranucci·Jan 30, 2009SaveLearn
PFA Performance for SiDA PFA has been developed for the SiD detector concept at a future Linear Collider. The performance of the version of this PFA used in the SiD LOI is presented for a number of physics processes with…M. J. Charles·Jan 29, 2009SaveLearn
SAXSFit: A program for fitting small-angle x-ray and neutron scattering dataSAXSFit is a computer analysis program that has been developed to assist in the fitting of small-angle x-ray and neutron scattering spectra primarily from nanoparticles (nanopores). The fitting…Bridget Ingham, Haiyong Li, Emily L. Allen et al.·Jan 29, 2009SaveLearn
Extracting Spooky-activation-at-a-distance from Considerations of EntanglementFollowing an early claim by Nelson & McEvoy Nelson:McEvoy:2007 suggesting that word associations can display `spooky action at a distance behaviour', a serious investigation of the…P. D. Bruza, K. Kitto, D. Nelson et al.·Jan 27, 2009SaveLearn
Bayesian reasoning in cosmologyWe discuss epistemological and methodological aspects of the Bayesian approach in astrophysics and cosmology. The introduction to the Bayesian framework is given for a further discussion concerning…Jakub Mielczarek, Marek Szydlowski, Pawel Tambor·Jan 26, 2009SaveLearn
Assessment of Spatial-variant Noise Level in Real-time Dynamic MR Images - a Random Matrix ApproachAccurate measurement of spatially variant noise in dynamic magnetic resonance (MR) images acquired using parallel imaging methods is problematic. We propose a new method based on the random matrix…Yu Ding, Yiu-Cho Chung, Orlando P. Simonetti·Jan 26, 2009SaveLearn
Implementation and application of kinematic vertex fitting in the software environment of ILDThe vertex reconstruction toolkit RAVE has been extended by an option for the inclusion of kinematic constraints, and embedded into the ILD analysis framework Marlin. The new tools have been tested…Fabian Moser, Wolfgang Waltenberger, Meinhard Regler et al.·Jan 26, 2009SaveLearn
A New Look at an Old Tool-the Cumulative Spectral Power of Fast-Fourier Transform AnalysisAs an old and widely used tool, it is still possible to find new insights and applications from Fast Fourier Transform (FFT)-based analyses. The FFT is frequently used to generate the Power Spectral…Sheng-Chiang Lee, Randall D. Peters·Jan 23, 2009SaveLearn
The Network of Scientific Collaborations within the European Framework ProgrammeWe use the emergent field of Complex Networks to analyze the network of scientific collaborations between entities (universities, research organizations, industry related companies,...) which…Juan A. Almendral, Joao G. Oliveira, L. López et al.·Jan 21, 2009SaveLearn
Maximum Entropy: The Universal Method for InferenceIn this thesis we start by providing some detail regarding how we arrived at our present understanding of probabilities and how we manipulate them - the product and addition rules by Cox. We also…Adom Giffin·Jan 20, 2009SaveLearn
Superstatistical fluctuations in time series: Applications to share-price dynamics and turbulenceWe report a general technique to study a given experimental time series with superstatistics. Crucial for the applicability of the superstatistics concept is the existence of a parameter β that…Erik Van der Straeten, Christian Beck·Jan 15, 2009SaveLearn
On the use of continuous wavelet analysis for modal identificationThis paper reviews two different uses of the continuous wavelet transform for modal identification purposes. The properties of the wavelet transform, mainly energetic, allow to emphasize or filter…Pierre Argoul, Silvano Erlicher·Jan 14, 2009SaveLearn
A Fast Chi-squared Technique For Period Search of Irregularly Sampled DataA new, computationally- and statistically-efficient algorithm, the Fast χ2 algorithm, can find a periodic signal with harmonic content in irregularly-sampled data with non-uniform errors. The…David M. Palmer·Jan 14, 2009SaveLearn
Modular organization as a basis for the functional integration/segregation in large-scale brain networksModular structure is ubiquitous among real-world networks from related proteins to social groups. Here we analyze the modular organization of brain networks at a large-scale (voxel level) extracted…M. Valencia, M. A. Pastor, MA. Fernandez-Seara et al.·Jan 12, 2009SaveLearn
Improving Application of Bayesian Neural Networks to Discriminate Neutrino Events from Backgrounds in Reactor Neutrino ExperimentsThe application of Bayesian Neural Networks(BNN) to discriminate neutrino events from backgrounds in reactor neutrino experiments has been described in Ref.key-1. In the paper, BNN are also…Ye Xu, WeiWei Xu, YiXiong Meng et al.·Jan 12, 2009SaveLearn
The Visibility Graph: a new method for estimating the Hurst exponent of fractional Brownian motionFractional Brownian motion (fBm) has been used as a theoretical framework to study real time series appearing in diverse scientific fields. Because its intrinsic non-stationarity and long range…Lucas Lacasa, Bartolo Luque, Jordi Luque et al.·Jan 7, 2009SaveLearn
Mathematical irrational numbers not so physically irrationalWe investigate the topological structure of the decimal expansions of the three famous naturally occurring irrational numbers, π, e, and golden ratio, by explicitly calculating the diversity of…Y. J. Zhao, Y. H. Gao, J. P. Huang·Jan 7, 2009SaveLearn
Predicting Missing Links via Local InformationMissing link prediction of networks is of both theoretical interest and practical significance in modern science. In this paper, we empirically investigate a simple framework of link prediction on…Tao Zhou, Linyuan Lu, Yi-Cheng Zhang·Jan 5, 2009SaveLearn
Scaling factors for ab initio vibrational frequencies: comparison of uncertainty models for quantified predictionBayesian Model Calibration is used to revisit the problem of scaling factor calibration for semi-empirical correction of ab initio calculations. A particular attention is devoted to uncertainty…Pascal Pernot·Jan 5, 2009SaveLearn
Using the Memories of Multiscale Machines to Characterize Complex SystemsA scheme is presented to extract detailed dynamical signatures from successive measurements of complex systems. Relative entropy based time series tools are used to quantify the gain in predictive…Nick S. Jones·Dec 30, 2008SaveLearn
Modelling of 1/f noise by sequences of stochastic pulses of different durationWe present and analyze the simple analytically solvable model of 1/f noise, which can be relevant for the understanding of the origin, main properties and parameter dependencies of the flicker noise.…J. Ruseckas, B. Kaulakys, M. Alaburda·Dec 26, 2008SaveLearn
Identifying Relevant Eigenimages - a Random Matrix ApproachDimensional reduction of high dimensional data can be achieved by keeping only the relevant eigenmodes after principal component analysis. However, differentiating relevant eigenmodes from the random…Yu Ding, Yiu-Cho Chung, Kun Huang et al.·Dec 25, 2008SaveLearn