Remote Visualization of Cosmological Data Using Salsa

2016 ◽  
pp. 165-176
Keyword(s):  
Remote Visualization ◽  
Cosmological Data

scholarly journals Discovery probabilities of Majorana neutrinos based on cosmological data

2021 ◽  
Vol 103 (3) ◽  
Author(s):  
M. Agostini ◽  
G. Benato ◽  
S. Dell’Oro ◽  
S. Pirro ◽  
F. Vissani
Keyword(s):  
Majorana Neutrinos ◽  
Cosmological Data

scholarly journals Primordial magnetic field limits from cosmological data

2010 ◽  
Vol 82 (8) ◽  
Author(s):  
Tina Kahniashvili ◽  
Alexander G. Tevzadze ◽  
Shiv K. Sethi ◽  
Kanhaiya Pandey ◽  
Bharat Ratra
Keyword(s):  
Magnetic Field ◽  
Cosmological Data ◽  
Primordial Magnetic Field

scholarly journals Testing standard and nonstandard neutrino physics with cosmological data

2013 ◽  
Vol 87 (4) ◽  
Author(s):  
Elena Giusarma ◽  
Roland de Putter ◽  
Olga Mena
Keyword(s):  
Neutrino Physics ◽  
Cosmological Data

DISTRIBUTED ADAPTIVE MULTIVARIATE FUNCTION VISUALIZATION

2006 ◽  
Vol 06 (02) ◽  
pp. 273-288 ◽  
Author(s):  
SHUJUN LI ◽  
KARLIS KAUGARS ◽  
ELISE DE DONCKER
Keyword(s):  
Numerical Integration ◽  
Time Series Data ◽  
Grid Cell ◽  
Adaptive Method ◽  
Series Data ◽  
Function Evaluation ◽  
Uniform Grid ◽  
Visualization Method ◽  
Remote Visualization ◽  
Integration Rule

In this article, we introduce a new function visualization method and demonstrate that numerical integration and visualization of multi-dimensional functions are closely related. Adaptive numerical integration is utilized to reduce the number of function evaluations, and generate time series data. The integration region is partitioned into a uniform grid. A grid cell can be sampled many times, or is not sampled at all, depending on the function properties and the integration rule. Function properties are extracted during the process of function evaluation. An aging technique helps visualize functions by retaining the most recently sampled areas and making the older ones transparent. This also results in giving the non-smooth areas more attention than the smooth areas. The new function visualization method gives a view of the whole function while elaborating on important areas such as ridges and troughs, which are critical in many fields, including numerical integration. A Grid service, called Integration Service, is used to solve computationally intensive integration problems. Remote visualization based on the adaptive method helps monitor the progress of a computation, and can be utilized for computational steering. The data are filtered by the server and transferred to the client, which is responsible for visualization mapping and rendering.

GPU-based remote visualization of dynamic molecular data on the web

2016 ◽  
Vol 88 ◽  
pp. 57-65 ◽  
Author(s):  
Finian Mwalongo ◽  
Michael Krone ◽  
Michael Becher ◽  
Guido Reina ◽  
Thomas Ertl
Keyword(s):  
Molecular Data ◽  
Remote Visualization ◽  
The Web
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