AMADA - Analysis of multidimensional astronomical datasets

@article{Souza2015AMADAA,
  title={AMADA - Analysis of multidimensional astronomical datasets},
  author={Rafael S. de Souza and Benedetta Ciardi},
  journal={Astron. Comput.},
  year={2015},
  volume={12},
  pages={100-108}
}

Figures from this paper

The IllustrisTNG simulations: public data release
TLDR
Improvements and new functionality in the web-based API are described, including on-demand visualization and analysis of galaxies and halos, exploratory plotting of scaling relations and other relationships between galactic and halo properties, and a new JupyterLab interface that provides an online, browser-based, near-native data analysis platform enabling user computation with local access to TNG data, alleviating the need to download large datasets.
Big data applications in engineering and science
TLDR
In this chapter, engineering and science problems that carry a big data angle are catalogued and the research advances for these problems are discussed and a list of tools available to the practitioner is presented.
Supporting Social Network Analysis Using Chord Diagram in Process Mining
TLDR
The formal definitions of elements are defined and elaborates on how the visual representation can be compiled from them and the result shows that this technique can complement previous ones to discover more social network patterns in BPM area.
Developing Cloud-Based Tools for Water Resources Data Analysis Using R and Shiny
TLDR
This paper proposes to develop cloud-based tools for water resource data analysis using R and Shiny and shows that these tools are valuable and practical resource for individuals with limited web development skills and offer opportunity for more dynamic and collaborative water resource management.
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
UV upturn versus UV weak galaxies: differences and similarities of their stellar populations unveiled by a de-biased sample
The ultraviolet (UV) upturn is characterised by an unexpected up-rise of the UV flux in quiescent galaxies between the Lyman limit and 2500A. By making use of colour-colour diagrams, one can
A probabilistic approach to emission-line galaxy classification
We invoke a Gaussian mixture model (GMM) to jointly analyse two traditional emission-line classification schemes of galaxy ionization sources: the Baldwin-Phillips-Terlevich (BPT) and $\rm
The distant, dusty universe : finding star-forming galaxies with the Herschel Space Observatory
The formation and growth of galaxies through star formation is an unsolved problem in astrophysics. Emission from galaxies in the far-infrared is known to be strongly correlated with obscured star
UV bright red-sequence galaxies: a comparative study between UV upturn and UV weak systems Maria
Ultraviolet (UV) emission from galaxies is associated with hot components, whether from stellar sources or not. By making use of colour-colour diagrams, early-type galaxies (ETGs) can be classified
Statistical Methods in Astronomy
TLDR
An introduction to statistical applications in astronomy for statisticians and computer scientists is provided and the complex, often hierarchical, nature of many astronomy inference problems is highlighted.
...
...

References

SHOWING 1-10 OF 80 REFERENCES
VOStat: A Statistical Web Service for Astronomers
VOStat is a Web service providing interactive statistical analysis of astronomical tabular datasets. It is integrated into the suite of analysis and visualization tools associated with the
Filtergraph: An interactive web application for visualization of astronomy datasets
AstroStat - A VO tool for statistical analysis
Structural analysis of molecular clouds: Dendrograms
We demonstrate the utility of dendrograms at representing the essential features of the hierarchical structure of the isosurfaces for molecular line data cubes. The dendrogram of a data cube is an
On visualization techniques for solar data mining
Qgraph: Network visualizations of relationships in psychometric data
TLDR
The qgraph package for R is presented, which provides an interface to visualize data through network modeling techniques, and is introduced by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.
The starfish diagram: Visualising data within the context of survey samples
circlize implements and enhances circular visualization in R
TLDR
The circlize package is presented, which provides an implementation of circular layout generation in R as well as an enhancement of available software and the flexibility of this package is based on the usage of low-level graphics functions such that self-defined high- level graphics can be easily implemented by users for specific purposes.
The History of the Cluster Heat Map
TLDR
The earliest sources of this cluster heat map are located in late 19th century publications, and a diverse 20th century statistical literature is traced that provided a foundation for this most widely used of all bioinformatics displays.
A dendrite method for cluster analysis
TLDR
A method for identifying clusters of points in a multidimensional Euclidean space is described and its application to taxonomy considered and an informal indicator of the "best number" of clusters is suggested.
...
...