7,384 research outputs found
Vialactea Visual Analytics tool for Star Formation studies of the Galactic Plane
We present a visual analytics tool, based on the VisIVO suite, to exploit a
combination of all new-generation surveys of the Galactic Plane to study the
star formation process of the Milky Way. The tool has been developed within the
VIALACTEA project, founded by the 7th Framework Programme of the European
Union, that creates a common forum for the major new-generation surveys of the
Milky Way Galactic Plane from the near infrared to the radio, both in thermal
continuum and molecular lines. Massive volumes of data are produced by space
missions and ground-based facilities and the ability to collect and store them
is increasing at a higher pace than the ability to analyze them. This gap leads
to new challenges in the analysis pipeline to discover information contained in
the data. Visual analytics focuses on handling these massive, heterogeneous,
and dynamic volumes of information accessing the data previously processed by
data mining algorithms and advanced analysis techniques with highly interactive
visual interfaces offering scientists the opportunity for in-depth
understanding of massive, noisy, and high-dimensional data
3D-Stereoscopic Immersive Analytics Projects at Monash University and University of Konstanz
Immersive Analytics investigates how novel interaction and display technologies may support analytical reasoning and decision making. The Immersive Analytics initiative of Monash University started early 2014. Over the last few years, a number of projects have been developed or extended in this context to meet the requirements of semi- or full-immersive stereoscopic environments. Different technologies are used for this purpose: CAVE2â„¢ (a 330 degree large-scale visualization environment which can be used for educative and scientific group presentations, analyses and discussions), stereoscopic Powerwalls (miniCAVEs, representing a segment of the CAVE2 and used for development and communication), Fishtanks, and/or HMDs (such as Oculus, VIVE, and mobile HMD approaches). Apart from CAVE2â„¢ all systems are or will be employed on both the Monash University and the University of Konstanz side, especially to investigate collaborative Immersive Analytics. In addition, sensiLab extends most of the previous approaches by involving all senses, 3D visualization is combined with multi-sensory feedback, 3D printing, robotics in a scientific-artistic-creative environment
Toward porting Astrophysics Visual Analytics Services to the European Open Science Cloud
The European Open Science Cloud (EOSC) aims to create a federated environment
for hosting and processing research data to support science in all disciplines
without geographical boundaries, such that data, software, methods and
publications can be shared as part of an Open Science community of practice.
This work presents the ongoing activities related to the implementation of
visual analytics services, integrated into EOSC, towards addressing the diverse
astrophysics user communities needs. These services rely on visualisation to
manage the data life cycle process under FAIR principles, integrating data
processing for imaging and multidimensional map creation and mosaicing, and
applying machine learning techniques for detection of structures in large scale
multidimensional maps
Big data research infrastructure collaboration toward the SKA (BRICSKA)
Astronomy is entering an era of mega-data that will render conventional
research methods as well as data and visual analytics tools ineffective. The Square
Kilometre Array (SKA) drives one of the most significant big data challenges of the next
decades. South Africa, China and India are partners in the global SKA collaboration
and host recently completed, next generation radio astronomy facilities. South Africa,
Brazil, China and India are involved in the Large Synoptic Survey Telescope (LSST),
which represents a complementary mega-data challenge, vastly increasing the current
data volume of optical surveys, and providing critical multi-wavelength data set
for SKA analytics. Russian researchers are also engaged in radio astronomy and
multi-wavelength, multi-messenger projects driving increasing volumes of observational
data
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