From data to probability densities without histograms
Bernd A. Berg,Robert C. Harris +1 more
TLDR
A simple method is introduced, based on Fourier series expansion and Kolmogorov tests, which overcomes the problem of inadequate histogram display when one deals with data drawn from continuous variables.About:
This article is published in Computer Physics Communications.The article was published on 2008-09-15 and is currently open access. It has received 44 citations till now. The article focuses on the topics: Probability distribution & Joint probability distribution.read more
Citations
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Journal ArticleDOI
High-resolution scanning electron microscopy of an ultracold quantum gas
TL;DR: In this article, the authors used scanning electron microscopy for the detection of single atoms inside a Bose-Einstein condensate with a spatial resolution of better than 150nm.
Book ChapterDOI
Quantifying uncertainty and sampling quality in biomolecular simulations
TL;DR: The present review describes statistical tools and the underlying physical ideas necessary to address questions about the quality of sampling and statistical convergence in the study of increasingly large biomolecular systems at longer timescales.
Journal ArticleDOI
Heterogeneous yielding dynamics in a colloidal gel
TL;DR: In this paper, the authors used high-frequency ultrasound during creep and oscillatory shear experiments to observe the local dynamics of opaque attractive colloidal gels and reveal the importance of activated processes for the gel dynamics and raise a number of open questions.
Journal ArticleDOI
Statistical Spectral Analysis for Fault Diagnosis of Rotating Machines
TL;DR: A novel statistical spectral analysis is presented, which leads to highly robust fault diagnosis with poor SNR conditions, different time-window segmentation, and different operating conditions, and compares with state-of-the-art fault diagnosis algorithms.
Journal ArticleDOI
Recent progress in the study of G protein-coupled receptors with molecular dynamics computer simulations.
TL;DR: G protein-coupled receptors are a large, biomedically important family of proteins, and the recent explosion of new high-resolution structural information about them has provided an enormous opportunity for computational modeling to make major contributions.
References
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Toward a universal random number generator
TL;DR: An approach towards a random number generator that passes all of the stringent tests for randomness the authors have put to it, and that is able to produce exactly the same sequence of uniform random variables in a wide variety of computers.
Journal ArticleDOI
Toward a universal random number generator
TL;DR: In this article, an approach towards a random number generator that passes all of the stringent tests for randomness we have put to it, and that is able to produce exactly the same sequence of uniform random variables in a wide variety of computers, including TRS80, Apple, Macintosh, Commodore, Kaypro, IBM PC, AT, PC and AT clones, Sun, Vax, IBM 360 370, 3090, Amdahl, CDC Cyber and even 205 and ETA supercomputers.
Journal ArticleDOI
One-Sided Confidence Contours for Probability Distribution Functions
Z. W. Birnbaum,Fred H. Tingey +1 more
TL;DR: In this paper, the authors derived an explicit expression for the probability of a random variable being everywhere majorized by the empirical distribution function of the random variable, and a tabulation of the 10%, 5, 1%, and 0.1% points of the probability.
Journal ArticleDOI
U(1) lattice gauge theory near the phase transition
TL;DR: In this article, the U(1) lattice gauge theory with the Wilson action is investigated in a high statistics Monte Carlo calculation in the close proximity of the deconfinement phase transition.
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