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1 MIZAR : space in the pocket Telespazio CNES San Sebastien, 21 june 2013 Fabien Lavignotte Jean Christophe Malapert

MIZAR : space in the pocket

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MIZAR : space in the pocket. Fabien Lavignotte. Telespazio. CNES. Jean Christophe Malapert. San Sebastien, 21 june 2013. Summary. 1. Context. 2. MIZAR presentation. 3. Technical details. Context. Use case : Data quality. - PowerPoint PPT Presentation

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MIZAR : space in the pocket

TelespazioCNES

San Sebastien, 21 june 2013

Fabien LavignotteJean Christophe Malapert

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Summary

3

Context1

Technical details

2 MIZAR presentation

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CONTEXT

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USE CASE : DATA QUALITY

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USE CASE : STELLAR EVOLUTION (SPECTRAL ENERGY DISTRIBUTION)

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USE CASE : STELLAR EVOLUTION (TEMPORAL DETECTION)

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ASTEROID DETECTION (BY TEMPORAL COMPARISON OR BY SUPERIMPOSING A REFERENCE CATALOG)

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USE CASE : FIND AN OBJECT NAME AND RELATED PUBLICATIONS

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HOW TO AGGREGATE INFORMATION COMING FROM DIFFERENT DATA PROVIDERS

Images Spectra Instrument Footprints Object catalogs

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WHY A WEBGL APPLICATION ?

Web : High accessibility, connect from everywhere3D : A globe => no distortion at polewebGL : Use of graphical card power

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Summary

3

Context1

Technical details

2 MIZAR presentation

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MIZAR

MIZAR

Module for Interactive viZualization in Astronomical Repositories

http://sitools2.sourceforge.net/

Release date : December

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MIZAR, ITS ARCHITECTURE

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MIZAR’S FEATURES

Browsing Background Images

CSP & SIAPUse its own information

Query form

« survey » coverage & intersection

Configuration Open sourceservices

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Summary

3

Context1

Technical details

2 MIZAR presentation

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GLOBWEB

Virtual globe in WebGL3D

Developed by TPZF as a R&D project

Licence LGPLv3

https://github.com/TPZF/GlobWeb

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GLOBWEB FOR ASTRONOMICAL DATA

« AstroWeb »

« Inside » the virtual globe

Same algorithmes but…

Specific tiling for astronomical data

HEALPix

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HEALPIX

Map the sphere to 12 base “pixels”

Quadtree subdivision of each base pixel

Properties

Areas of all pixels at a given resolution are identical

Pixels are distributed on lines of constant latitude

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GLOBWEB FOR ASTRONOMICAL DATA

Observations

Points or polygons

Received as GeoJSON

High data volumetry :

Thousand of visible observations

Automatic batch of points and polygons per HEALPix tile

Bucket to batch points and polygons sharing the same style

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MANAGING DATA VOLUMETRY

Point clustering

Given a data distribution

MOC

Multi-Order coverage

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DISPLAY ASTRONOMICAL IMAGE

FITS

Flexible Image Transport System

ASCII header + binary data

High dynamic range data

Float support needed

Basic tone mapping (Linear, Log)

zScale used in astronomy

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GLOBWEB : ARCHITECTURE

Base class

Globe

TileManager

TileRequest

RenderContext HEALPixTiling

HEALPixTileTilePool

HEALPixLayerNavigation

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GLOBWEB : ARCHITECTURE

Base class

Globe

TileManager

TileRequest

RenderContext GeoTiling

GeoTileTilePool

WMSLayerNavigation

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GLOBWEB USAGE

Usage

PlanetObserver demonstration

ESA prototype : EoliWebGL

MIZAR

ESA ngEO

InterAtlas demonstration

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Questions ?