VisIVO, a VO-Enabled tool for Scientific Visualization and Data Analysis: Overview and Demo



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Claudio Gheller (CINECA), Marco Comparato (OACt), Ugo Becciani (OACt) VisIVO, a VO-Enabled tool for Scientific Visualization and Data Analysis: Overview and Demo

VisIVO: Visualization Interface for the Virtual Observatory VisIVO is a visualization package developed in collaboration between INAF (Catania Astrophysical Observatory) and CINECA (the largest italian academic supercomputing center) with the specific object of supporting visualization and analysis of astrophysical data. The package is written in C++ and it is completely open source. Goals: N-Dim (N>2) Visualization of Astrophysical data (MAIN) Astrophysical Data Analysis (on the fly) Interaction with Databases VisIVO is not (specifically) for: Visualization of low dim data (dim <= 2) image processing 2D plots Interaction with distributed resources VO compliance Educational and outreach applications

VisIVO and the Virtual Observatory (VO) The VO: all the world data on the desktop, analysable with tools made available through a standard interface VO-TECH: EU FP6 Specific Support Action VisIVO: Italian Contribution to the VO-TECH DS6 VO-TECH: Integration of new technologies into the European Virtual Observatory

VisIVO Team INAF Astrophysical Observatory of Catania Becciani Ugo (permanent staff) The VO: all the world data on the desktop, analysable with tools Comparato Marco (young fellow) made aavailable through a standard interface Alessandro Costa (permanent staff) New Position (young fellow Full Time) VO-TECH: EU FP6 Specific Support Action CINECA VisIVO: Claudio Gheller Italian Contribution (permanent staff) to the VO-TECH DS6 New position (permanent staff) VO-TECH: MAF STAFFIntegration of new technologies into the European Virtual Web Observatory Site (introduction, downloads, documentation ) http://visivo.cineca.it

VisIVO components requirements: standard and high performance programming language flexible and powerful high-level graphics library open source, multi-platform components

VisIVO overview Completely based on open source products. Exploitation of the results of 2 EU funded projects: Multimod MAF (http://www.tecno.ior.it/research/biomechcomp/project s/multimod/mm_home_page.html) Basic Visualisation technology and software architecture Cosmo.Lab (http://cosmolab.cineca.it) AstroMD Astrophysics specific tools (readers, analysis algorithms )

The Visualization ToolKit (VTK) The graphics functionalities of VisIVO are based on VTK VTK is an Open Source tool developed by Kitware inc.(http://www.kitware.com): 3D computer graphics. VTK can be used with different languages (Tcl/Tk, Java, Python) Can be run on Linux (Unix) and Windows (PC and Mac OSX) Largely used to implement scientific tools Technical Characteristics More than 700 C++ classes Extended set of 3D Widgets Surface Rendering and Volume Rendering Data interaction: good efficiency Rendering windows: easy use of lights, cameras and actor properties

The Multimod Application Framework (MAF) Introduction: (from the web site, http://www.cineca.it/b3c/maf/) The Multimod Application Framework (MAF) is an open source freely available framework for the rapid development of applications, based on the Visualization Toolkit and other specialised libraries. It provides high level components that can be easily combined to develop a vertical application in different areas of scientific visualisation. Developed by the Visualization Team of Cineca, the University of Bologna and Istituti Ortopedici Rizzoli Special thanks for the continuous support and help to Cineca Visualization Team experts Cinzia Zannoni, Silvano Imboden, Marco Petrone and Paolo Quadrani.

The MAF architecture VisIVO has been developed as a MAF application. Its architecture can be summarized according to the following schema: High Abstraction Level: specific of the user application (VisIVO) Low Abstraction Level: general purpose high-level services Multimod Foundation Layer: provides basic software components

The High Abstraction Level (HAL) The HAL is the specialized part of the code. It consists in: libraries, which add new and specific functionalities to the code. Libraries are developed: According to MFL and LAL rules using MFL components using VTK components integrating other libraries the driver code defines and initialize the application The HAL can be thought as specular to LAL, but external to the core application. It can be developed with no worries about MAF integrity. Finally, part of HAL functions can be added to LAL or MFL.

VisIVO on the top of MAF VisIVO is our HAL. Its implementation has actually required changes at all levels (part of our needs were beyond expected requirements). In particular: MFL: new implementation of VME to support large particle based dataset with associated properties (scalar fields) LAL: integration of the new particle VME Specific viewer to visualize particles and properties (transparency, colors, glyphs) Introduction of permanent GUIs, to change parameters on the fly Introduction of interpolated time evolution (in progress)

VisIVO HAL However, most of our work is related to the development of specific functionalities. We have focused on the following main topics Importers classes which allows to read data files Database access dealing with SQL databases (starting now) Web services interaction dealing with the Virtual Observatory Data analysis functions manipulation of data to get derived results Data viewers how to graphically represent data

Importers: input = file output = VME Binary dump of memory (C I/O style). Positions followed by N scalars for particles Classes which allows to read data files in different formats. At present we support: RAW binary format (particles and grids) HDF format (subset for particles) FITS format VOTables Fully supported. CFITSIO library imported Support only for particle files. To be extended. HDF5 libraries imported Tipsy format VTK Format Fully supported. XALAN and XERCES libraries (for XML parsing) and VOIndia C VOTables library imported

Operations: Input = VME (one or more) Output = VME (one or more) Classes which allows to handle data files in order to extract meaningful information. At present we have implemented Randomizer: extraction of random subset of data Power Spectrum: calculates of the spectrum of a periodic particles distribution Correlation Function: computes the correlation function of a particles distribution Minkowsky functionals: estimates the geometry and the topology of a particle distribution Points splatter: distributes a particle field on a regular mesh

Viewers Input = VME Output = image Classes which allow to map data to images according to specific algorithms Points viewer: maps points to pixels and to glyphs (shapes) Isosurfaces: draws surfaces that divide grids higher and grids lower than a given value Volume rendering: renders grids with colors and tranasparencies (cloud effect) 2D graphics: visualizes curves and plots HTML browser: for documentation and help pages

VisIVO: what is there NOW The 0.1 version of VisIVO can be downloaded from the web site (http://visivo.cineca.it) It implements the functionalities shown in the previous three slides It is the binary version for MS Windows XP (Linux porting is in progress expected by june 2005) Documentation is not yet ready (coming soon!!!) Source code can be downloaded using anonymous CVS access Contribution, contributors, collaborations are welcome!!! Note for sources distribution. Software requirements: MS Visual C++ 6 CMake 1.6 (patch 7) CVS access: CVSROOT = :pserver:anonymous@sirio.cineca.it:/server/project/cvsrepos PASSWORD: no password required Checkout module openmaf Checkout module cosmomaf

Development projects and active collaborations Data mining algorithm, in collaboration with the Universities of Napoli and Salerno, AstroNeural project. (http://people.na.infn.it/~longo/ricerca/astroneural/astroneural_main.html) Aims and applications of AstroNeural: User friendly tool to perform clustering and data mining in high dimensionality spaces Aims Clustering & pattern recognition in high dimensionality spaces Visualization (VisIVO) Classification Parametrization of images Modeling of massive data sets Applications Astrophysics Genetics Geophysics High energy physics Atmospheric physics Etc.

Development projects: WS access Connecting VisIVO, a C++ application, to a Web Service Asked for the wsdl of the web service Used the wdsl2ws tool to create the client stubs (c++ classes) Created objects of these classes in VisIVO These objects, using the Axis C++ library, are our interface to the Web Service Test case: VizieR service GUI to the service: in progress

Development project: VisIVO Server -MAIN TASK: VisIVO move some functionalities on Server Side -Development of a Pilot Project for a TVO (DS4): data from simulation -Requirement Study -Data Format Interface -Run of analysis tools (off-line) -Data extraction -Preliminary data selection and preview -Data download -VO compliant data access and data output -Integration with VisIVO Client -..

VisIVO Integration in a Data Center VisIVO

VisIVO in one slide Visualization of N-dimensional data (N > 2) Open Source MS Windows (porting to Linux in progress) Present Release: 0.1 Downloads: From web site (binaries only) http://visivo.cineca.it From CVS CVSROOT = :pserver:anonymous@sirio.cineca.it:/ser ver/project/cvsrepos PASSWORD: no password required Checkout module openmaf Checkout module cosmomaf Software requirements: MS Visual C++ 6 CMake 1.6 (patch 7) Libraries: VTK 4.2 (graphics) wxwindows (GUI) CFITSIO (Fits files) HDF5 (HDF Files) VO India C++ lib (VOTables) Xalan, Xerces (XML) Axis C++ (WS) Documentation: User Guide (almost ready) On-line (almost ready) Developer Guide (who knows ) Examples (in the distribution) Contributions and collaborations: are welcome!!!