Distributed objects in a commercial Web environment

1997 ◽  
Author(s):  
J. Lambert
2019 ◽  
pp. 32-35
Author(s):  
V. V. Artyushenko ◽  
A. V. Nikulin

In this article we consider a problem of reliable modeling of echo signals and angle noise of distributed objects using twodimensional geometric models with random statistically unrelated signals. The conditions that ensure the invariance of distribution parameters of the angle noise generated by an arbitrary N-point configuration of a two-dimensional geometric model are obtained. In the particular case of a model whose emitters are supplied with signals of equal power, the conditions of invariance are reduced to the location of the model points on the plane in the form of a regular polygon. These results can be used to synthesize mathematical models used for simulating reflections from distributed objects and for developing a hardware-software complex for the simulation of electromagnetic fields reflected from the Earth surface, atmospheric inhomogeneities, the sea surface, etc.


2020 ◽  
Vol 499 (3) ◽  
pp. 4418-4431 ◽  
Author(s):  
Sujatha Ramakrishnan ◽  
Aseem Paranjape

ABSTRACT We use the Separate Universe technique to calibrate the dependence of linear and quadratic halo bias b1 and b2 on the local cosmic web environment of dark matter haloes. We do this by measuring the response of halo abundances at fixed mass and cosmic web tidal anisotropy α to an infinite wavelength initial perturbation. We augment our measurements with an analytical framework developed in earlier work that exploits the near-lognormal shape of the distribution of α and results in very high precision calibrations. We present convenient fitting functions for the dependence of b1 and b2 on α over a wide range of halo mass for redshifts 0 ≤ z ≤ 1. Our calibration of b2(α) is the first demonstration to date of the dependence of non-linear bias on the local web environment. Motivated by previous results that showed that α is the primary indicator of halo assembly bias for a number of halo properties beyond halo mass, we then extend our analytical framework to accommodate the dependence of b1 and b2 on any such secondary property that has, or can be monotonically transformed to have, a Gaussian distribution. We demonstrate this technique for the specific case of halo concentration, finding good agreement with previous results. Our calibrations will be useful for a variety of halo model analyses focusing on galaxy assembly bias, as well as analytical forecasts of the potential for using α as a segregating variable in multitracer analyses.


2021 ◽  
Vol 767 (1) ◽  
pp. 012040
Author(s):  
Faraliyana Mohd Hanafi ◽  
Muhammad Imzan Hassan
Keyword(s):  

1987 ◽  
Vol 22 (12) ◽  
pp. 126-137 ◽  
Author(s):  
Michael Caplinger

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
A. Moshika ◽  
M. Thirumaran ◽  
N. Balaji ◽  
K. Andal ◽  
G. Sambasivam ◽  
...  

2017 ◽  
Vol 16 (5) ◽  
pp. 1883-1883
Author(s):  
Jaeil Lee ◽  
Inkyung Jeon ◽  
Hyukjin Kwon ◽  
Dongil Shin ◽  
Dongkyoo Shin

2015 ◽  
Vol 106 (13) ◽  
pp. 131905 ◽  
Author(s):  
Janusz Wolny ◽  
Pawel Kuczera ◽  
Radoslaw Strzalka

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