Visualization

CSC's application specialists help in visualizing all kinds of data, whether it originates from simulation, data mining or sensors. Small visualization request are handled as regular user support. Larger visualization tasks are handled through visualization service process. Support can be requested and the application specialists contacted through CSC Service Desk.

Visualization workflow and the applications used depend on the type of data being analyzed. Data having inherent spatial context, like flow in a channel or molecular interaction, is visualized using methods of scientific visualization, by mapping data to geometry. Typical applications for the job are ParaView and VMD. Abstract, statistical data is visualized using methods of data visualization, typically using R, and illustrated with graphs.

Scientific visualization

Typical challenges in scientific visualization include importing non-standard data into visualization applications, shortening I/O times, managing large data sets, running visualization as parallel process utilizing many cores or graphics cards, and fine tuning the final visualization for maximal impact. More details can be found on Scientific Visualization Service page.

Data visualization

CSC's specialists can also help researchers in visualizing abstract, statistical data using tools such as R and ggplot2.

Examples

Ion channel

PLoS Computation Biology 2/2009 cover picture. Conformational Changes and Slow Dynamics through Microsecond Polarized Atomistic Molecular Simulation of an Integral Kv1.2 Ion Channel. Bjelkmar, Niemelä, Vattulainen, Lindahl / Stockholm University, VTT, TKK, Stockholm University.

 

Gold collision

Gold-atom clusters colliding with the surface of a gold substrate and forming craters. Grand Challenge project, Samela, Nordlund / University of Helsinki. Awarded in the scientific image competition of the Tiede magazine Oct. 5, 2010.

Dimer

Phys. Chem. Chem. Phys., 2011, vol 13, number 13 cover picture. Calculation of Isotropic Compton profiles with Gaussian basis sets. Lehtola, Hakala, Vaara, Hämäläinen / University of Helsinki, University of Oulu.

 

Carbon Rings

Phys. Chem. Chem. Phys., 2009, vol 11, number 48 cover picture. NMR tensors in planar hydrocarbons of increasing size. Ikäläinen, Lantto, Manninen, Vaara / University of Helsinki, University of Oulu, CSC.

Fusion Reactor

SimITER project home page simiter.ota.fi logo, illustrating plasma-wall interaction in a fusion reactor.