... Mokhovaya st., 11, Moscow, 103907, Russia. ... Proceedings of the 6th IEEE International Specialist Workshop on Nonlinear Dynamics of Electronic Systems, Budapest, Hungary, 16-18 July, 1998 , pp. ... The method for synchronization of drive-response systems on conditions of a large mismatch of parameters is considered on example of the system based on modified Chua's circuit. The approach to information transmission using such method is proposed. ...

Russian SHAREABLE DATA CENTER Institute of Solar-Terrestial Physics SB RAS . ... Investigations of the ionospheric response to strong magnetics storms which are usual for our latitudes, are of great interest. ... In the figure, we present ionospheric parameter dynamics during three perturbed days in July 2000. ...

... We demonstrate through numerical simulations that model parameters estimated with our technique are essentially bias-free, even when the average number of counts per bin is 1. ... The IW technique avoids such biases by estimating through successive iterations, where for each iteration, j, , and the best-fit parameters are determined by minimization of . ... In our sample, we find that the minimum values and best-fit parameters converge after about 6 iterations. ...

Magellanic Clouds in interaction evolutionary search for good models Adam Rzicka1, Jan Palous1, Christian Theis2 1Astronomical Institute, Prague; 2Institut fЭr Astronomie, Wien Idea investigate the LMC-SMC-Milky Way (MW) interaction by modeling the distribution of HI related to the Magellanic System (BrЭns et al. ... How much does the HI distribution tell about the LMC/SMC motion? ... It's all about proper motion... select a high-quality model (FF 0.5) and look around Tidal models don't work.. ...

... In brief: the frequency-dependent radiative transfer equation is solved for a dust under assumption of spherically-symmetric geometry for its distribution taking into account particle size distribution and quantum heating effects for the very small dust particles. ... Table: Model parameters for IRAS04296+3429. ... parameter . ... hot dust shell) . ... The best fit to the spectral energy distribution of IRAS04296 is shown by heavy solid line (see Table2 for details concerning parameters of the model...

http ://hea-www.harvard.edu/AstroStat/slog/ 2007 / arxiv - identifiability -and- mixtures / Weaving together Astronomy+Statistics+Computer Science+Engineering+Intrumentation, far beyond the growing borders Fri, 01 Jun 2012 18:47:52 +0000 hourly 1 http ://wordpress.org/?v=3.4 http ://hea-www.harvard.edu/AstroStat/slog/ 2007 / arxiv - identifiability -and- mixtures /comment-page-1/#comment-90 hlee Mon, 10 Sep 2007 03:51:06 +0000 ... 1, what exactly is ?identifiability?? . ...

... Investigation into dynamics of in-orbit radiological situation both in Service Module and the ISS RS docking module, as well as accumulated radiation doses in anthropomorphic and spherical phantoms. ... Measurement of spatial and solid distributions of radiation characteristics of space ionizing radiation in pressurized compartments of Service Module and Docking Module of the ISS RS by means of scientific equipment PDA (Assembly of Passive Detectors) and Phantom (Spherical Tissue-Equivalent Phantom)...

Next: Simulations Up: Maximum Likelihood Estimation of Previous: Introduction . The properties of an ensemble of faint galaxies can be defined by the distribution of the parameters of the models that best fit each individual object. ... The model also includes instrumental parameters, such as the sky background (estimated locally) and amplitude of the noise. ... The probability of the observed value is then computed for each pixel using the adopted error distribution. ...

... It satisfies the set of WDVV (associativity) equations in canonical variables. The geometric/integrable content of corrections in 1/N is an important, still unresolved, problem. The only way to construct systematically these corrections is to solve the set of loop equations. We find the subleading correction (the torus approximation) and discuss its possible singularities of the answer in the set of new parameters S_i. ...

... A number of different statistical methods are used for estimating parameters from a data set. The most commonly used one is the least squares method which estimates a parameter by minimizing the function : . where y is the dependent and x the independent variables while f is