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Premium member Presentation Transcript Slide1: INAF Osservatorio Astrofisico di Catania INAF Osservatorio Astrofisico di Catania Ugo Becciani Cosmological simulations N-body and fluidodynamical simulations Scientific Visualization AstroMD tools Group of interest Testing and ValidationSlide2: INAF Osservatorio Astrofisico di Catania 24 Processors Global RAM Memory: 48 Gbyte Disk Space: 254 GB (72.8 GB HD per node + 36.2 GB HD cws) Network Topology: SPS scalable Omega switch and FastEthernet node interconnection type Bandwidth: 300 Mbyte/s peak bi-directional transfer rate Programming Language: C, C++, Fortran 90 Parallel paradigms: OpenMP, MPI, LAPI IBM SP POWER3 INAF Astrophysical Observatory of Catania Slide3: INAF Osservatorio Astrofisico di Catania NEW SYSTEM 8 Processors 1.1 GHz Global RAM Memory: 16 Gbyte Disk Array: 1 TB L2: 1.5 Mbytes L3: 128 Mbyte Memory: 2 GB per processor IBM POWER4 p Series INAF Astrophysical Observatory of CataniaSlide4: INAF Osservatorio Astrofisico di Catania AstroMD: Main built-in tools I/O data Formats: Binary native, ASCII, TIPSY compliant Randomizer Structure detection Structure morphology Correlation Function Power Spectrum Group finderSlide5: INAF Osservatorio Astrofisico di Catania Tipsy Reader loads Tipsy data both in Binary and ASCII Format. Users do not need to convert input Files to Tipsy natural format Colours are selected by a lookup table. Users can choose the parameter to be visualized Tipsy Reader Functionalities: selection of range by a cursor, colour dialog widget, etc.. Slide6: INAF Osservatorio Astrofisico di Catania Select a random-sample of the displayed points, where the user can apply the analysis tools. Sub-sample can be saved in binary and ASCII files RANDOMIZERSlide7: INAF Osservatorio Astrofisico di Catania Structure detection and Morphological analysisSlide8: INAF Osservatorio Astrofisico di Catania Mathematical basis of Minkowski functionals The first Minkowski functional F1(r) represents normalized surface of covering The second Minkowski functional F2(r) represents normalized mean curvature Minkowski functionals give us information about geometry, mean curvature and Euler characteristic of a cosmological sample.Slide9: INAF Osservatorio Astrofisico di Catania The third functional F3(r) represents the Euler characteristic c of the covering. It is the most important for the topological studies: considering the factor c = Ncontours - N tunnels positive values characterize structures having a little amount of tunnels, having principally a convex structure; Negative values indicate high tunneling, and so characterize “spongy-like” structures.Slide10: INAF Osservatorio Astrofisico di Catania Two-point correlation function Several estimators exist to compute the correlation function. We have limited our choice to Peebles &Hauser’s estimator.Slide11: INAF Osservatorio Astrofisico di Catania Power Spectrum The quantity r(k) is used to to compute the Power Spectrum, where r(k) is the FFT of the mass density, and K is the wavenumber. The Power Spectrum of the matter distribution is a quadratic statistic of the spatial clusteringSlide12: INAF Osservatorio Astrofisico di Catania FOF friend-of-friend The most common group finding algorithm is known as “friend-of-friend” .It was first used by Huchra and Geller (1982) and involves searching around each sample galaxy for companions close as for distance and velocity. These companions are then searched for their companions, and so on until no other companion is found. Slide13: INAF Osservatorio Astrofisico di Catania Other funds for related projects to Cosmo.Lab CNAA funds two projects with the main aim to support specialist formation in the field of the scientific visualization, mainly devoted for young post-graduates, and to contribute to the AstroMD dissemination. INAF – Catania is responsible for these two projects CNAA projects 38.200 Euros Involved institutions: INAF - Catania, INAF - Milan, Department of Physics of Trieste and University “la Sapienza” of Rome Slide14: INAF Osservatorio Astrofisico di Catania INAF - Cineca Agreement (500.000 Euros) The INAF – Cineca is the follow-up of a long term collaboration between CINECA and the world of Astrophysics. In the present agreement about 300.000 CPU hours each year are available to astrophysicists. Some aspects of this agreement regard also the Scientific Visualization related to the simulations performed with the Cineca HPC systems Enabling Technologies for HPC and Scientific Visualization in AstrophysicsSlide15: INAF Osservatorio Astrofisico di Catania Italian Ministry Special Funds EU Structural Funds for Objective 1 areas (170.000 Euros) HPC and Scientific Visualization This project has the following main aims: Upgrade of the HPC local resources of the INAF – OACT (a new IBM-SP system) Post-graduate formation in the field of HPC and Scientific Visualization Results Dissemination Slide16: INAF Osservatorio Astrofisico di Catania Cosmo.Lab: Group of Interest CORE Group Italian Participants to the CNAA project Roberto Capuzzo Dolcetta - University “La Sapienza” of Rome Paolo Miocchi - University “La Sapienza” of Rome Paola Di Matteo - University “La Sapienza” of Rome Fabio Governato – INAF - Astronomical Observatory of Milan Stefano Borgani – University of Trieste Alessio Romeo – University of CataniaSlide17: INAF Osservatorio Astrofisico di Catania Extended Group Italian Participants to the INAF CINECA Agreement and other institutions Lauro Moscardini - University of Padova Giuseppe Tormen - University of Padova Gianluigi Bodo - University of Torino Luca Tornatore - Dep. of Astronomy Triete Martin Goetz - Theoretical Astrophysics Center, Copenhagen Giuseppe Gavazzi – Univeristy of Milan Paola Parma - IRA Bologna Luigina Feretti - IRA Bologna Alessandra Zanichelli - IRA Bologna Pasquale Londrillo - University of Bologna Antonella Maselli - Astronomical Observatory of Arcetri Chiara Mastropietro - Zurich University Marco Montuori - INFM Rome Cosmo.Lab: Group of InterestSlide18: INAF Osservatorio Astrofisico di Catania Cosmo.Lab: Group of Interest CORE Group main tasks: To participate in the CNAA project set-up meeting of AstroMD and in the prototype development To discuss and address the development of the WP4 of Cosmo.Lab project: The AstroMD tools is a visualization tool but also an on-the-fly analysis tools The core group has established the basic analysis tools for the WP4 in the framework of the Cosmo.Lab project FoF Correlation Function Power Spectrum Minkowski Functionals Parser Scalar Fields Calculation (e.g. Entropy) 2-D Projection of the density field Velocity dispersion Gravitational lensingSlide19: INAF Osservatorio Astrofisico di Catania Dati su griglia Relazioni con l’OATo Visualizzazione 3-D di dati su griglia Visualizzazioni di dati sottodensi scala di opacità nel Volume Rendering Visualizzazione dinamica temporale (interpolazione) Dati Fluido: densità di massa, campo velocità, campo pressioni, campo magnetico Visualizzazione di campi vettoriali (linee di flusso o rappresentazione vettoriale)Slide20: INAF Osservatorio Astrofisico di Catania Dati su griglia Registrazione e produzione di filmati Visualizzazione del Gamma di Lorentz Variazione di velocità spaziale: grafico lungo una direttrice Studio del campo di velocità: div. e rot. Integrazione lungo piani: flusso di massa, momento, energia, modulo del campo magnetico ecc. AMR HDF5Slide21: INAF Osservatorio Astrofisico di Catania N-Body Dispersione di velocità radiale Dinamica Metadati Lanciatore di tools: p.e. skid e altri tools per lo studio di quantità con l’intera dinamica del sistema Slide22: INAF Osservatorio Astrofisico di Catania Cosmo.Lab Testing and Validation The Test and Validation phase has the following main goals: Integration of all functionalities implemented in the WP 4-7 AstroMD test using data coming from numerical simulations and from observational catalogues Usefulness of the Virtual RealitySlide23: INAF Osservatorio Astrofisico di Catania Cosmo.Lab Testing and Validation Integration of all functionalities implemented in the WP 4-7 A new design of AstroMD was decided and approved by all the participants to allow a fast and a simple integration of all tools, during the development phase A new GUI was designed using the OO language incr TCL. The CVS of the project was implemented to allow all the developers to upload new versions of the code in a fast and secure waySlide24: INAF Osservatorio Astrofisico di Catania Cosmo.Lab Testing and Validation AstroMD test using data coming from numerical simulations and from observational catalogues Planned activities: Run of a set of LSS simulations with different cosmological models, and comparison of the AstroMD analysis tools with classical methods Run analysis and visualization of AGN simulations using AstroMD A meeting of the Group of Interest will be done to have useful suggestions in this activity and for observational catalogues You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
ugo Jancis Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINTLite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 43 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: October 31, 2007 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Slide1: INAF Osservatorio Astrofisico di Catania INAF Osservatorio Astrofisico di Catania Ugo Becciani Cosmological simulations N-body and fluidodynamical simulations Scientific Visualization AstroMD tools Group of interest Testing and ValidationSlide2: INAF Osservatorio Astrofisico di Catania 24 Processors Global RAM Memory: 48 Gbyte Disk Space: 254 GB (72.8 GB HD per node + 36.2 GB HD cws) Network Topology: SPS scalable Omega switch and FastEthernet node interconnection type Bandwidth: 300 Mbyte/s peak bi-directional transfer rate Programming Language: C, C++, Fortran 90 Parallel paradigms: OpenMP, MPI, LAPI IBM SP POWER3 INAF Astrophysical Observatory of Catania Slide3: INAF Osservatorio Astrofisico di Catania NEW SYSTEM 8 Processors 1.1 GHz Global RAM Memory: 16 Gbyte Disk Array: 1 TB L2: 1.5 Mbytes L3: 128 Mbyte Memory: 2 GB per processor IBM POWER4 p Series INAF Astrophysical Observatory of CataniaSlide4: INAF Osservatorio Astrofisico di Catania AstroMD: Main built-in tools I/O data Formats: Binary native, ASCII, TIPSY compliant Randomizer Structure detection Structure morphology Correlation Function Power Spectrum Group finderSlide5: INAF Osservatorio Astrofisico di Catania Tipsy Reader loads Tipsy data both in Binary and ASCII Format. Users do not need to convert input Files to Tipsy natural format Colours are selected by a lookup table. Users can choose the parameter to be visualized Tipsy Reader Functionalities: selection of range by a cursor, colour dialog widget, etc.. Slide6: INAF Osservatorio Astrofisico di Catania Select a random-sample of the displayed points, where the user can apply the analysis tools. Sub-sample can be saved in binary and ASCII files RANDOMIZERSlide7: INAF Osservatorio Astrofisico di Catania Structure detection and Morphological analysisSlide8: INAF Osservatorio Astrofisico di Catania Mathematical basis of Minkowski functionals The first Minkowski functional F1(r) represents normalized surface of covering The second Minkowski functional F2(r) represents normalized mean curvature Minkowski functionals give us information about geometry, mean curvature and Euler characteristic of a cosmological sample.Slide9: INAF Osservatorio Astrofisico di Catania The third functional F3(r) represents the Euler characteristic c of the covering. It is the most important for the topological studies: considering the factor c = Ncontours - N tunnels positive values characterize structures having a little amount of tunnels, having principally a convex structure; Negative values indicate high tunneling, and so characterize “spongy-like” structures.Slide10: INAF Osservatorio Astrofisico di Catania Two-point correlation function Several estimators exist to compute the correlation function. We have limited our choice to Peebles &Hauser’s estimator.Slide11: INAF Osservatorio Astrofisico di Catania Power Spectrum The quantity r(k) is used to to compute the Power Spectrum, where r(k) is the FFT of the mass density, and K is the wavenumber. The Power Spectrum of the matter distribution is a quadratic statistic of the spatial clusteringSlide12: INAF Osservatorio Astrofisico di Catania FOF friend-of-friend The most common group finding algorithm is known as “friend-of-friend” .It was first used by Huchra and Geller (1982) and involves searching around each sample galaxy for companions close as for distance and velocity. These companions are then searched for their companions, and so on until no other companion is found. Slide13: INAF Osservatorio Astrofisico di Catania Other funds for related projects to Cosmo.Lab CNAA funds two projects with the main aim to support specialist formation in the field of the scientific visualization, mainly devoted for young post-graduates, and to contribute to the AstroMD dissemination. INAF – Catania is responsible for these two projects CNAA projects 38.200 Euros Involved institutions: INAF - Catania, INAF - Milan, Department of Physics of Trieste and University “la Sapienza” of Rome Slide14: INAF Osservatorio Astrofisico di Catania INAF - Cineca Agreement (500.000 Euros) The INAF – Cineca is the follow-up of a long term collaboration between CINECA and the world of Astrophysics. In the present agreement about 300.000 CPU hours each year are available to astrophysicists. Some aspects of this agreement regard also the Scientific Visualization related to the simulations performed with the Cineca HPC systems Enabling Technologies for HPC and Scientific Visualization in AstrophysicsSlide15: INAF Osservatorio Astrofisico di Catania Italian Ministry Special Funds EU Structural Funds for Objective 1 areas (170.000 Euros) HPC and Scientific Visualization This project has the following main aims: Upgrade of the HPC local resources of the INAF – OACT (a new IBM-SP system) Post-graduate formation in the field of HPC and Scientific Visualization Results Dissemination Slide16: INAF Osservatorio Astrofisico di Catania Cosmo.Lab: Group of Interest CORE Group Italian Participants to the CNAA project Roberto Capuzzo Dolcetta - University “La Sapienza” of Rome Paolo Miocchi - University “La Sapienza” of Rome Paola Di Matteo - University “La Sapienza” of Rome Fabio Governato – INAF - Astronomical Observatory of Milan Stefano Borgani – University of Trieste Alessio Romeo – University of CataniaSlide17: INAF Osservatorio Astrofisico di Catania Extended Group Italian Participants to the INAF CINECA Agreement and other institutions Lauro Moscardini - University of Padova Giuseppe Tormen - University of Padova Gianluigi Bodo - University of Torino Luca Tornatore - Dep. of Astronomy Triete Martin Goetz - Theoretical Astrophysics Center, Copenhagen Giuseppe Gavazzi – Univeristy of Milan Paola Parma - IRA Bologna Luigina Feretti - IRA Bologna Alessandra Zanichelli - IRA Bologna Pasquale Londrillo - University of Bologna Antonella Maselli - Astronomical Observatory of Arcetri Chiara Mastropietro - Zurich University Marco Montuori - INFM Rome Cosmo.Lab: Group of InterestSlide18: INAF Osservatorio Astrofisico di Catania Cosmo.Lab: Group of Interest CORE Group main tasks: To participate in the CNAA project set-up meeting of AstroMD and in the prototype development To discuss and address the development of the WP4 of Cosmo.Lab project: The AstroMD tools is a visualization tool but also an on-the-fly analysis tools The core group has established the basic analysis tools for the WP4 in the framework of the Cosmo.Lab project FoF Correlation Function Power Spectrum Minkowski Functionals Parser Scalar Fields Calculation (e.g. Entropy) 2-D Projection of the density field Velocity dispersion Gravitational lensingSlide19: INAF Osservatorio Astrofisico di Catania Dati su griglia Relazioni con l’OATo Visualizzazione 3-D di dati su griglia Visualizzazioni di dati sottodensi scala di opacità nel Volume Rendering Visualizzazione dinamica temporale (interpolazione) Dati Fluido: densità di massa, campo velocità, campo pressioni, campo magnetico Visualizzazione di campi vettoriali (linee di flusso o rappresentazione vettoriale)Slide20: INAF Osservatorio Astrofisico di Catania Dati su griglia Registrazione e produzione di filmati Visualizzazione del Gamma di Lorentz Variazione di velocità spaziale: grafico lungo una direttrice Studio del campo di velocità: div. e rot. Integrazione lungo piani: flusso di massa, momento, energia, modulo del campo magnetico ecc. AMR HDF5Slide21: INAF Osservatorio Astrofisico di Catania N-Body Dispersione di velocità radiale Dinamica Metadati Lanciatore di tools: p.e. skid e altri tools per lo studio di quantità con l’intera dinamica del sistema Slide22: INAF Osservatorio Astrofisico di Catania Cosmo.Lab Testing and Validation The Test and Validation phase has the following main goals: Integration of all functionalities implemented in the WP 4-7 AstroMD test using data coming from numerical simulations and from observational catalogues Usefulness of the Virtual RealitySlide23: INAF Osservatorio Astrofisico di Catania Cosmo.Lab Testing and Validation Integration of all functionalities implemented in the WP 4-7 A new design of AstroMD was decided and approved by all the participants to allow a fast and a simple integration of all tools, during the development phase A new GUI was designed using the OO language incr TCL. The CVS of the project was implemented to allow all the developers to upload new versions of the code in a fast and secure waySlide24: INAF Osservatorio Astrofisico di Catania Cosmo.Lab Testing and Validation AstroMD test using data coming from numerical simulations and from observational catalogues Planned activities: Run of a set of LSS simulations with different cosmological models, and comparison of the AstroMD analysis tools with classical methods Run analysis and visualization of AGN simulations using AstroMD A meeting of the Group of Interest will be done to have useful suggestions in this activity and for observational catalogues