Exploiting Apache Spark platform for CMS computing analyticsThe CERN IT provides a set of Hadoop clusters featuring more than 5 PBytes of raw storage with different open-source, user-level tools available for analytical purposes. The CMS experiment started…Marco Meoni, Valentin Kuznetsov, Luca Menichetti et al.·Nov 1, 2017SaveLearn
Azimuthal Anisotropy in High Energy Nuclear Collision - An Approach based on Complex Network AnalysisRecently, a complex network based method of Visibility Graph has been applied to confirm the scale-freeness and presence of fractal properties in the process of multiplicity fluctuation. Analysis of…Susmita Bhaduri, Dr. Dipak Ghosh·Oct 27, 2017SaveLearn
A Statistical Distance Derived From The Kolmogorov-Smirnov Test: specification, reference measures (benchmarks) and example usesStatistical distances quantifies the difference between two statistical constructs. In this article, we describe reference values for a distance between samples derived from the Kolmogorov-Smirnov…Renato Fabbri, Fernando Gularte De León·Oct 24, 2017SaveLearn
Normal behaviour models for wind turbine vibrations: An alternative approachThe identification of abnormal behaviour in mechanical systems is key to anticipate and avoid their potential failure. Thus wind turbine health is commonly assessed monitoring series of 10-minute…Pedro G. Lind, Luis Vera-Tudela, Matthias Wächter et al.·Oct 24, 2017SaveLearn
Skewed distributions as limits of a formal evolutionary processTime series of observables measured from complex systems do often exhibit non-normal statistics, their statistical distributions (PDF's) are not gaussian and often skewed, with roughly…F. Sattin·Oct 19, 2017SaveLearn
Towards uncovering the structure of power fluctuations of wind farmsThe structure of the turbulence-driven power fluctuations in a wind farm is fundamentally described from basic concepts. A derived tuning-free model, supported with experiments, reveals the…Huiwen Liu, Yaqing Jin, Nicloas Tobin et al.·Oct 17, 2017SaveLearn
Web interface for reflectivity fittingThe Liquids Reflectometer at Oak Ridge National Laboratory provides neutron reflectivity capability for an average of about 30 experiments each year. In recent years, there has been a large effort to…Mathieu Doucet, Ricardo Miguel Ferraz Leal, Tanner C. Hobson·Oct 13, 2017SaveLearn
A combinatorial framework to quantify peak/pit asymmetries in complex dynamicsWe explore a combinatorial framework which efficiently quantifies the asymmetries between minima and maxima in local fluctuations of time series. We firstly showcase its performance by applying it to…Uri Hasson, Jacopo Iacovacci, Ben Davis et al.·Oct 13, 2017SaveLearn
High Dimensional Cluster Analysis Using Path LengthsA hierarchical scheme for clustering data is presented which applies to spaces with a high number of dimension (N_D>3). The data set is first reduced to a smaller set of partitions…Kevin McIlhany, Stephen Wiggins·Oct 13, 2017SaveLearn
Causality Testing: A Data Compression FrameworkCausality testing, the act of determining cause and effect from measurements, is widely used in physics, climatology, neuroscience, econometrics and other disciplines. As a result, a large number of…Aditi Kathpalia, Nithin Nagaraj·Oct 11, 2017SaveLearn
Functions to map photoelectron distributions in a variety of setups in angle-resolved photoemission spectroscopyThe distribution of photoelectrons acquired in angle-resolved photoemission spectroscopy can be mapped onto energy-momentum space of the Bloch electrons in the crystal. The explicit forms of the…Y. Ishida, S. Shin·Oct 10, 2017SaveLearn
A New Correlator to Detect and Characterize the Chiral Magnetic EffectA charge-sensitive in-event correlator is proposed and tested for its efficacy to detect and characterize charge separation associated with the Chiral Magnetic Effect (CME) in heavy ion collisions.…Niseem Magdy, Shuzhe Shi, Jinfeng Liao et al.·Oct 4, 2017SaveLearn
γ-ray Spectroscopy using a Binned Likelihood ApproachThe measurement of a reaction cross section from a pulse height spectrum is a ubiquitous problem in experimental nuclear physics. In γ-ray spectroscopy, this is accomplished frequently by measuring…J. R. Dermigny, C. Iliadis, M. Q. Buckner et al.·Sep 30, 2017SaveLearn
Fluorescence decay data analysis correcting for detector pulse pile-up at very high count ratesUsing Time-Correlated Single Photon Counting (TCSPC) for the purpose of fluorescence lifetime measurements is usually limited in speed due to pile-up. With modern instrumentation this limitation can…Matthias Patting, Paja Reisch, Marcus Sackrow et al.·Sep 29, 2017SaveLearn
From time-series to complex networks: Application to the cerebrovascular flow patterns in atrial fibrillationA network-based approach is presented to investigate the cerebrovascular flow patterns during atrial fibrillation (AF) with respect to normal sinus rhythm (NSR). AF, the most common cardiac…Stefania Scarsoglio, Fabio Cazzato, Luca Ridolfi·Sep 26, 2017SaveLearn
Direct Measurement of Fast Transients by Using Boot-strapped Waveform AveragingAn approximation to coherent sampling, also known as boot-strapped waveform averaging, is presented. The method uses digital cavities to determine the condition for coherent sampling. It can be used…Mattias Olsson, Fredrik Edman, Khadga Jung Karki·Sep 25, 2017SaveLearn
Towards automation of data quality system for CERN CMS experimentDaily operation of a large-scale experiment is a challenging task, particularly from perspectives of routine monitoring of quality for data being taken. We describe an approach that uses Machine…Maxim Borisyak, Fedor Ratnikov, Denis Derkach et al.·Sep 25, 2017SaveLearn
Machine and deep learning techniques in heavy-ion collisions with ALICEOver the last years, machine learning tools have been successfully applied to a wealth of problems in high-energy physics. A typical example is the classification of physics objects. Supervised…Rüdiger Haake·Sep 22, 2017SaveLearn
A new "3D Calorimetry" of hot nucleiIn the domain of Fermi energy, it is extremely complex to isolate experimentally fragments and particles issued from the cooling of a hot nucleus produced during a heavy ion collision. This paper…E. Vient, L. Manduci, E. Legouée et al.·Sep 21, 2017SaveLearn
Sigmoid-Based Refined Composite Multiscale Fuzzy Entropy and t-Distributed Stochastic Neighbor Embedding Based Fault Diagnosis of Rolling BearingMultiscale fuzzy entropy (MFE) has been a prevalent tool to quantify the complexity of time series. However, it is extremely sensitive to the predetermined parameters and length of time series and it…Zhanwei Jiang, Jinde Zheng, Haiyang Pan et al.·Sep 17, 2017SaveLearn
Modeling Smooth Backgrounds and Generic Localized Signals with Gaussian ProcessesWe describe a procedure for constructing a model of a smooth data spectrum using Gaussian processes rather than the historical parametric description. This approach considers a fuller space of…Meghan Frate, Kyle Cranmer, Saarik Kalia et al.·Sep 17, 2017SaveLearn
Modeling correlated bursts by the bursty-get-burstier mechanismTemporal correlations of time series or event sequences in natural and social phenomena have been characterized by power-law decaying autocorrelation functions with decaying exponent γ. Such…Hang-Hyun Jo·Sep 15, 2017SaveLearn
AMORPH: A statistical program for characterizing amorphous materials by X-ray diffractionAMORPH utilizes a new Bayesian statistical approach to interpreting X-ray diffraction results of samples with both crystalline and amorphous components. AMORPH fits X-ray diffraction patterns with a…Michael C. Rowe, Brendon J. Brewer·Sep 13, 2017SaveLearn
Statistical Physics and Representations in Real and Artificial Neural NetworksThis document presents the material of two lectures on statistical physics and neural representations, delivered by one of us (R.M.) at the Fundamental Problems in Statistical Physics XIV summer…Simona Cocco, Rémi Monasson, Lorenzo Posani et al.·Sep 7, 2017SaveLearn
Impact of non-stationarity on hybrid ensemble filters: A study with a doubly stochastic advection-diffusion-decay modelEffects of non-stationarity on the performance of hybrid ensemble filters are studied (by hybrid filters we mean those which blend ensemble covariances with some other regularizing covariances). To…Michael Tsyrulnikov, Alexander Rakitko·Aug 29, 2017SaveLearn