A measure of centrality based on the spectrum of the LaplacianWe introduce a family of new centralities, the k-spectral centralities. k-Spectral centrality is a measurement of importance with respect to the deformation of the graph Laplacian associated with the…Scott D. Pauls, Daniel Remondini·Dec 20, 2011SaveLearn
Ricean Shadowed Statistical Characterization of Shallow Water Acoustic Channels for Wireless CommunicationsIn this letter, the statistical behaviour of the shallow water acoustic channel for wireless communications is shown to be well characterized by the Ricean shadowed distribution, which has never been…F. Ruiz-Vega, M. C. Clemente, P. Otero et al.·Dec 19, 2011SaveLearn
Methods of Measuring Physical Characteristics of Partial Components of Multicomponent SamplesConsideration is given to the methods of gaining experimental data on the substances which constitute a part of multicomponent samples to be measured. The methods are applicable to the samples…A. Yu. Buki·Dec 19, 2011SaveLearn
Probably a discovery: Bad mathematics means rough scientific communicationAccording to the media, in spring of this year the experiment CDF at Fermilab has made most likely ("this result has a 99.7 percent chance of being correct", Discovery News) a great discovery…G. D'Agostini·Dec 15, 2011SaveLearn
Semi-Supervised Anomaly Detection - Towards Model-Independent Searches of New PhysicsMost classification algorithms used in high energy physics fall under the category of supervised machine learning. Such methods require a training set containing both signal and background events and…Mikael Kuusela, Tommi Vatanen, Eric Malmi et al.·Dec 14, 2011SaveLearn
Null Models of Economic Networks: The Case of the World Trade WebIn all empirical-network studies, the observed properties of economic networks are informative only if compared with a well-defined null model that can quantitatively predict the behavior of such…Giorgio Fagiolo, Tiziano Squartini, Diego Garlaschelli·Dec 13, 2011SaveLearn
Error Bars for Distributions of Numbers of EventsThe common practice for displaying error bars on distributions of numbers of events is confusing and can lead to incorrect conclusions. A proposal is made for a different style of presentation that…Ritu Aggarwal, Allen Caldwell·Dec 12, 2011SaveLearn
Information filtering via biased heat conductionHeat conduction process has recently found its application in personalized recommendation [T. Zhou et al., PNAS 107, 4511 (2010)], which is of high diversity but low accuracy. By decreasing…Jian-Guo Liu, Tao Zhou, Qiang Guo·Dec 11, 2011SaveLearn
Information Filtering via Implicit Trust-based NetworkBased on the user-item bipartite network, collaborative filtering (CF) recommender systems predict users' interests according to their history collections, which is a promising way to solve the…Zhao-Guo Xuan, Zhan Li, Jian-Guo Liu·Dec 11, 2011SaveLearn
Estimating a Signal In the Presence of an Unknown BackgroundWe describe a method for fitting distributions to data which only requires knowledge of the parametric form of either the signal or the background but not both. The unknown distribution is fit using…Wolfgang A. Rolke, Angel M. López·Dec 10, 2011SaveLearn
SVD-based unfolding: implementation and experienceWith the first year of data taking at the LHC by the experiments, unfolding methods for measured spectra are reconsidered with much interest. Here, we present a novel ROOT-based implementation of the…Kerstin Tackmann, Andreas Hoecker·Dec 9, 2011SaveLearn
Analysis of fractional Gaussian noises using level crossing methodThe so-called level crossing analysis has been used to investigate the empirical data set. But there is a lack of interpretation for what is reflected by the level crossing results. The fractional…M. Vahabi, G. R. Jafari, M. Sadegh Movahed·Dec 7, 2011SaveLearn
Approximated maximum likelihood estimation in multifractal random walksWe present an approximated maximum likelihood method for the multifractal random walk processes of [E. Bacry et al., Phys. Rev. E 64, 026103 (2001)]. The likelihood is computed using a Laplace…Ola Løvsletten, Martin Rypdal·Dec 1, 2011SaveLearn
The MGDO software library for data analysis in Ge neutrinoless double-beta decay experimentsThe GERDA and Majorana experiments will search for neutrinoless double-beta decay of germanium-76 using isotopically enriched high-purity germanium detectors. Although the experiments differ in…M. Agostini, J. A. Detwiler, P. Finnerty et al.·Nov 30, 2011SaveLearn
Off-line data quality monitoring for the GERDA experimentGERDA is an experiment searching for the neutrinoless ββ decay of Ge-76. The experiment uses an array of high-purity germanium detectors, enriched in Ge-76, directly immersed in liquid argon. GERDA…P. Zavarise, M. Agostini, A. A. Machado et al.·Nov 30, 2011SaveLearn
Fisher information as a performance metric for locally optimum processingFor a known weak signal in additive white noise, the asymptotic performance of a locally optimum processor (LOP) is shown to be given by the Fisher information (FI) of a standardized even probability…Fabing Duan, Francois Chapeau-Blondeau, Derek Abbott·Nov 24, 2011SaveLearn
Application of quasi-optimal weights to searches of anomalies. Statistical criteria for step-like anomalies in cumulative spectraThe statistical method of quasi-optimal weights can be used to derive criteria for searches of anomalies. As an example we derive a convenient statistical criterion for step-like anomalies in…A. V. Lokhov, F. V. Tkachov, P. S. Trukhanov·Nov 21, 2011SaveLearn
The Critical Coupling Likelihood Method: A new approach for seamless integration of environmental and operating conditions of gravitational wave detectors into gravitational wave searchesAny search effort for gravitational waves (GW) using interferometric detectors like LIGO needs to be able to identify if and when noise is coupling into the detector's output signal. The Critical…Cesar A. Costa, Cristina V. Torres·Nov 18, 2011SaveLearn
Off-line data processing and analysis for the GERDA experimentGERDA is an experiment designed to look for the neutrinoless double beta decay of Ge-76. The experiment uses an array of high-purity germanium detectors, enriched in Ge-76, directly immersed in…M. Agostini, L. Pandola, P. Zavarise·Nov 15, 2011SaveLearn
A simple energy loss model and its applications for silicon detectorsThe energy loss of charged particles in silicon can be approximated by a simple analytical model. With help of measured charge deposits in individual channels of hit clusters their position and…Ferenc Sikler·Nov 14, 2011SaveLearn
Universal scaling in sports rankingRanking is a ubiquitous phenomenon in the human society. By clicking the web pages of Forbes, you may find all kinds of rankings, such as world's most powerful people, world's richest people,…Weibing Deng, Wei Li, Xu Cai et al.·Nov 12, 2011SaveLearn
Optimized differential energy loss estimation for tracker detectorsThe estimation of differential energy loss for charged particles in tracker detectors is studied. The robust truncated mean method can be generalized to the linear combination of the energy deposit…Ferenc Sikler, Sandor Szeles·Nov 10, 2011SaveLearn
Plotting the Differences Between Data and ExpectationThis article proposes a way to improve the presentation of histograms where data are compared to expectation. Sometimes, it is difficult to judge by eye whether the difference between the bin content…Georgios Choudalakis, Diego Casadei·Nov 8, 2011SaveLearn
Searching for optimal variables in real multivariate stochastic dataBy implementing a recent technique for the determination of stochastic eigendirections of two coupled stochastic variables, we investigate the evolution of fluctuations of NO2 concentrations at two…Frank Raischel, Ana Russo, Maria Haase et al.·Nov 8, 2011SaveLearn
LUXSim: A Component-Centric Approach to Low-Background SimulationsGeant4 has been used throughout the nuclear and high-energy physics community to simulate energy depositions in various detectors and materials. These simulations have mostly been run with a source…D. S. Akerib, X. Bai, S. Bedikian et al.·Nov 8, 2011SaveLearn