Path lengths in turbulenceBy tracking tracer particles at high speeds and for long times, we study the geometric statistics of Lagrangian trajectories in an intensely turbulent laboratory flow. In particular, we consider the…Nicholas T. Ouellette, Eberhard Bodenschatz, Haitao Xu·Aug 13, 2011SaveLearn
Statistical methods used in ATLAS for exclusion and discoveryThe statistical methods used by the ATLAS Collaboration for setting upper limits or establishing a discovery are reviewed, as they are fundamental ingredients in the search for new phenomena. The…Diego Casadei·Aug 10, 2011SaveLearn
Accuracy versus speed in fluctuation-enhanced sensingFluctuation-enhanced sensing comprises the analysis of the stochastic component of the sensor signal and the utilization of the microscopic dynamics of the interaction between the agent and the…P. Makra, Z. Topalian, C. G. Granqvist et al.·Aug 9, 2011SaveLearn
How much multifractality is included in monofractal signals?We investigate the presence of residual multifractal background for monofractal signals which appears due to the finite length of the signals and (or) due to the long memory the signals reveal. This…Dariusz Grech, Grzegorz Pamula·Aug 9, 2011SaveLearn
Spectral properties of correlation functions of fields with arbitrary position dependence in restricted geometries from the ballistic to the diffusive regimesThe transition between ballistic and diffusive motion poses difficult problems in several fields of physics. In this work we show how to calculate the spectra of the correlation functions between…C. M. Swank, A. Petukhov, R. Golub·Aug 9, 2011SaveLearn
Percentile rank scores are congruous indicators of relative performance, or aren't they?Percentile ranks and the I3 indicator were introduced by Bornmann, Leydesdorff, Mutz and Opthof. These two notions are based on the concept of percentiles (or quantiles) for discrete data. As several…Ronald Rousseau·Aug 9, 2011SaveLearn
Detecting series periodicity with horizontal visibility graphsThe horizontal visibility algorithm has been recently introduced as a mapping between time series and networks. The challenge lies in characterizing the structure of time series (and the processes…Angel M. Núñez, Lucas Lacasa, Eusebio Valero et al.·Aug 8, 2011SaveLearn
Time series irreversibility: a visibility graph approachWe propose a method to measure real-valued time series irreversibility which combines two differ- ent tools: the horizontal visibility algorithm and the Kullback-Leibler divergence. This method maps…Lucas Lacasa, Ángel M. Núñez, Édgar Roldán et al.·Aug 8, 2011SaveLearn
How Hidden are Hidden Processes? A Primer on Crypticity and Entropy ConvergenceWe investigate a stationary process's crypticity---a measure of the difference between its hidden state information and its observed information---using the causal states of computational…John R. Mahoney, Christopher J. Ellison, Ryan G. James et al.·Aug 6, 2011SaveLearn
Time domain maximum likelihood parameter estimation in LISA Pathfinder Data AnalysisLISA is the upcoming space-based Gravitational Wave telescope. LISA Pathfinder, to be launched in the coming years, will prove and verify the detection principle of the fundamental Doppler link of…G. Congedo, L. Ferraioli, M. Hueller et al.·Aug 3, 2011SaveLearn
Priors for New PhysicsThe interpretation of data in terms of multi-parameter models of new physics, using the Bayesian approach, requires the construction of multi-parameter priors. We propose a construction that uses…Maurizio Pierini, Harrison B. Prosper, Sezen Sekmen et al.·Aug 2, 2011SaveLearn
Application of Self-Organizing Map to Stellar Spectral ClassificationsWe present an automatic, fast, accurate and robust method of classifying astronomical objects. The Self Organizing Map (SOM) as an unsupervised Artificial Neural Network (ANN) algorithm is used for…Bazarghan Mahdi·Aug 2, 2011SaveLearn
Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman FiltersThis paper investigates an approximation scheme of the optimal nonlinear Bayesian filter based on the Gaussian mixture representation of the state probability distribution function. The resulting…Ibrahim Hoteit, Xiaodong Luo, Dinh-Tuan Pham·Jul 31, 2011SaveLearn
Robust ensemble filtering and its relation to covariance inflation in the ensemble Kalman filterWe propose a robust ensemble filtering scheme based on the H∞ filtering theory. The optimal H∞ filter is derived by minimizing the supremum (or maximum) of a predefined cost…Xiaodong Luo, Ibrahim Hoteit·Jul 31, 2011SaveLearn
Temporal motifs in time-dependent networksTemporal networks are commonly used to represent systems where connections between elements are active only for restricted periods of time, such as networks of telecommunication, neural signal…Lauri Kovanen, Márton Karsai, Kimmo Kaski et al.·Jul 28, 2011SaveLearn
Optimizing the energy threshold of light detectors coupled to luminescent bolometersBolometers have proven to be good detectors for the search of neutrinoless double beta decay. By operating at cryogenic temperatures, they feature excellent energy resolution and low background. The…G. Piperno, S. Pirro, M. Vignati·Jul 28, 2011SaveLearn
Mandelbrot Law of Evolving NetworksDegree distributions of many real networks are known to follow the Mandelbrot law, which can be considered as an extension of the power law and is determined by not only the power-law exponent, but…Xue-Zao Ren, Zimo Yang, Bing-Hong Wang et al.·Jul 23, 2011SaveLearn
Log-Normal Distribution of Single Molecule Fluorescence Bursts in Micro/Nano-Fluidic ChannelsThe width and shape of photon burst histograms pose significant limitations to the identification of single molecules in micro/nano-fluidic channels, and the nature of these histograms is not fully…Lazar L. Kish, Jun Kameoka, Claes G. Granqvist et al.·Jul 21, 2011SaveLearn
Three dimensional structure from intensity correlationsWe develop the analysis of x-ray intensity correlations from dilute ensembles of identical particles in a number of ways. First, we show that the 3D particle structure can be determined if the…Veit Elser·Jul 20, 2011SaveLearn
The use of statistical methods for the search for new physics at the LHC (in Russian)We review statistical methods used for the search for new physics at LHC.S. I. Bityukov, N. V. Krasnikov·Jul 20, 2011SaveLearn
How to produce discreet Gaussian sequences: Algorithm and codeAlgorithm and code to produce sequences whose members obey Gaussian distribution function is reported. Discreet and limited number of groups are defined in the distribution function, where each group…Sparisoma Viridi, Veinardi Suendo·Jul 17, 2011SaveLearn
Random matrix approach in search for weak signals immersed in background noiseWe present new, original and alternative method for searching signals coded in noisy data. The method is based on the properties of random matrix eigenvalue spectra. First, we describe general ideas…D. Grech, J. Miskiewicz·Jul 14, 2011SaveLearn
Nonparametric Regression using the Concept of Minimum EnergyIt has recently been shown that an unbinned distance-based statistic, the energy, can be used to construct an extremely powerful nonparametric multivariate two sample goodness-of-fit test. An…Mike Williams·Jul 12, 2011SaveLearn
Gravitational constant calculation methodologiesWe consider the gravitational constant calculation methodologies for a rectangular block of the torsion balance body presented in the papers Phys. Rev. Lett. 102, 240801 (2009) and Phys.Rev. D. 82,…V. M. Shakhparonov, O. V. Karagioz, V. P. Izmailov·Jul 11, 2011SaveLearn
Median Algorithm for Sector Spectra Calculation from Images Registered by the Spectral Airglow Temperature ImagerThe Spectral Airglow Temperature Imager is an instrument, specially designed for investigation of the wave processes in the Mesosphere-Lower Thermosphere. In order to determine the kinematic…Atanas Marinov Atanassov·Jul 11, 2011SaveLearn