795,631 research outputs found

    Decomposability for stable processes

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    We characterize all possible independent symmetric alpha-stable (SaS) components of an SaS process, 0<alpha<2. In particular, we focus on stationary SaS processes and their independent stationary SaS components. We also develop a parallel characterization theory for max-stable processes.Comment: Major revision. Section 4 of previous version removed due to a mistake in the proof. Remarks 3.2 and 3.3 adde

    Operational status of TAMA300 with the seismic attenuation system (SAS)

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    TAMA300 has been upgraded to improve the sensitivity at low frequencies after the last observation run in 2004. To avoid the noise caused by seismic activities, we installed a new seismic isolation system —- the TAMA seismic attenuation system (SAS). Four SAS towers for the test-mass mirrors were sequentially installed from 2005 to 2006. The recycled Fabry–Perot Michelson interferometer was successfully locked with the SAS. We confirmed the reduction of both length and angular fluctuations at frequencies higher than 1 Hz owing to the SAS

    State Space Modeling Using SAS

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    This article provides a brief introduction to the state space modeling capabilities in SAS, a well-known statistical software system. SAS provides state space modeling in a few different settings. SAS/ETS, the econometric and time series analysis module of the SAS system, contains many procedures that use state space models to analyze univariate and multivariate time series data. In addition, SAS/IML, an interactive matrix language in the SAS system, provides Kalman filtering and smoothing routines for stationary and nonstationary state space models. SAS/IML also provides support for linear algebra and nonlinear function optimization, which makes it a convenient environment for general-purpose state space modeling.

    Визуализация потока воздуха в вихревой трубе с использованием различных моделей турбулентности

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    Visualization of air flow in Ranque-Hilsch vortex tube performed by numerical simulations with standard k-ε and SAS-SST turbulence models is presented in the paper. SAS-SST turbulence model predicted the existence of secondary largescale vortex structures within the computational domain instead k-ε model showed axisymmetrical flow. Existence of large-scale secondary vortex structures is in agreement with experimental data.В статье представлены результаты визуализации потока воздуха в вихревой трубе Ранка-Хилша, выполненной с помощью численного моделирования. Были использованы k-ε и SAS-SST модели турбулентности. SAS-SST модель турбулентности показала наличие вторичных крупномасштабных вихревых структур в расчетном домене, в отличие от k-ε модели. Факт наличия крупномасштабных вторичных вихревых структур хорошо согласуется с экспериментальными данными

    SAS Open Journals. Overlaying an Open Journals service onto an institutional repository

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    In 2011, the School of Advanced Study, University of London (SAS) and the University of London Computer Centre (ULCC) worked jointly to develop the SAS Open Journals Service (SAS OJS). The project was funded by the JISC as part of its Scholarly Communications Programme, and aimed to create an open journal system that interfaced with the existing Institutional Repository (SAS-Space). This poster was presented at the 2012 Open Repositories conference in Edinburgh
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