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The CDPP Centre de Donnes de la Physique des Plasmas Plasma Physics Data Centre

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Title: The CDPP Centre de Donnes de la Physique des Plasmas Plasma Physics Data Centre


1
The CDPPCentre de Données de la Physique des
PlasmasPlasma Physics Data Centre
2
http//cdpp.cesr.fr
  • French national centre (CNRS-CNES) gt 10 years
  • Hosted at CESR, Toulouse, France
  • Missions
  • Archiving the data for long-term preservation
  • Valorisation of the data
  • Making data easy to use
  • Providing tools and services
  • Participation to Virtual Observatories

-HELIO - EuroPLANET
3
The CDPP Team
CDPP
CESR Toulouse
CNES Toulouse
LESIA Meudon
LPCE Orléans
AKKA
NOVELTIS
CESR Toulouse
CETP Paris
GFI
Industrial support
LPG Grenoble
Co-libri
Associated scientists/engineers
4
The CDPP team
Executive Director, Project Scientist Christian
Jacquey (CESR) Project Manager Dominique Heulet
(CNES)
  • Science team (3 EFT)
  • Vincent Génot, (CESR), Lead Scientist for Added
    Value Service development
  • Baptiste Cecconi, (LESIA), Lead Scientist for
    Wave/Radio data and services
  • Carine Briand, (LESIA), Lead Scientist for Wave
    Form data and services
  • Nicolas André, (CESR), Lead Scientist for CDPP
    activities in planetogy
  • Christian Jacquey, Particle data, Added Value
    Service development and VO activities
  • Associated scientists
  • Benoit Lavraud, (CESR), Heliophysics,
    Solar-Terrestrial relationship
  • Christian Mazelle, (CESR), GIOTTO, Cometary data
  • Gérard Belmont, Patrick Robert, (CETP), Analysis
    tools
  • Philippe Louarn, (CESR), magnetotail, shocks
  • Aurélie Marchaudon, (LPCE), Ground-Space
    observations
  • Frédéric Pitout, (LPG), EISCAT
  • Technical team (7 EFT)
  • Dominique Heulet, (CNES), Lead engineer for
    Archive System
  • Françoise Dériot, (CNES), Lead Engineer for
    Archiving
  • Michel Gangloff, (CESR) Lead Engineer for
    Interoperability, Standards and VO activities
  • Myriam Bouchemit, (CESR), Lead Engineer for
    servers and Added Value Service development
  • Industrial support
  • Eléna Budnik, (NOVELTIS), Added Value Service
    development, Data ingestion
  • Thomas Moreau, (GFI), THEMIS data
  • GFI, 3D-view multi-mission service
  • AKKA, data archiving, CDPP data format
  • Associated Engineers
  • Etienne Pallier, (CESR), MAPSKP, EuroPLANET
  • Andrei Fedorov, (CESR), AMDA system, ASPERA data
  • Emmanuel Penou, (CESR), THEMIS data, CL-AMDA
    connections

5
I. Data
1 0 1 0 0 1 1 1
1 1 1 1 1 0 1 0 1
1 0 0 1 1 0 0 1
1 0 0 0 1 0 1 0
1 1 0 1 0 1 1 1
0 0 0 1 0 1 1 0 0
1 0 1 1 1 1 1 0
1 1 1 0 0 0 1 0
0 0 1 0 1 1 1 0
1 0 1 0 1 1 1 0 1
1 0 0 0 1 1 1 0
1 1 0 1 1 1 0 0
1 1 1 0 0 0 1 0
0 0 0 1 0 1 1 0 0
0 1 0 0 1 1 1 1
0 0 1 0 0 1 1 1
1 0 0 1 1 0 1 0
0 0 1 1 0 0 0 0 0
1 0 0 0 0 0 1 1
1 1 1 0 0 0 1 1
0 1 1 0 1 0 1 0
1 1 1 1 1 1 0 0 1
0 0 1 0 1 1 1 0
0 1 0 0 1 0 1 0
0 0 1 1 1 1 1 1
0 0 0 0 0 0 0 0 0
1 0 1 0 1 1 0 1
1 1 0 1 0 1 0 0
1 1 1 1 0 1 1 0
1 1 0 0 1 1 1 0 1
0 1 1 1 0 1 1 1
1 1 0 1 1 1 0 1
1 1 1 1 0 0 0 1
1 0 0 1 0 1 1 0 1
0 0 1 0 0 0 0 1
1 0 1 1 1 0 0 1
1 1 1 0 0 1 1 0
1 1 0 1 1 1 1 1 0
0 1 0 1 1 0 0 1
1 0 1 0 1 0 0 1
0 0 0 1 1 1 1 1
1 0 0 0 1 0 1 0 0
1 1 1 0 0 0 0 1
1 1 0 1 0 1 1 1
1 0 0 1 1 1 1 1
0 0 1 0 1 0 0 1 1
1 0 0 1 1 1 1 1
1 0 0 1 0 0 0 1
1 0 0 1 0 1 1 1
1 0 0 1 0 0 1 0 1
0 1 1 0 1 1 1 0
0 1 1 0 0 0 0 1
0 1 0 1 1 1 0 1
1 1 1 0 1 1 1 0 1
0 1 1 1 1 1 0 0
0 1 1 1 0 0 0 0
1 0 1 1 1 1 1 0
1 1 1 1 1 1 0 0 0
0 0 1 1 1 0 0 1
0 1 1 0 1 0 1 1
0 1 0 0 1 1 0 0
0 0 1 0 0 1 1 0 0
1 1 0 0 0 1 1 0
0 0 1 1 0 1 0 0
0 1 0 0 1 0 0 0
0 1 0 0 0 1 1 0 1
1 1 0 0 0 1 0 1
0 0 0 1 1 0 1 1
1 1 0 1 0 0 1 1
0 0 1 1 1 1 0 0 1
0 0 1 0 1 1 1 0
0 1 1 0 1 1 0 1
1 0 0 0 0 0 1 1
1 1 0 1 1 0 1 0 1
0 0 1 0 1 0 1 1
0 0 1 0 0 0 0 1
1 0 0 0 1 0 1 0
1 1 1 1 0 1 1 0 1
0 1 1 0 1 0 0 0
1 1 0 1 1 0 0 0
1 0 0 0 1 0 1 0
1 1 0 0 0 0 0 0 1
1 1 1 0 1 1 0 0
1 0 1 0 1 1 1 0
0 1 1 0 0 0 1 0
0 0 0 0 0 0 0 0 0
1 1 1 1 1 1 1 1
0 1 1 1 1 0 0 0
1 0 0 1 0 0 0 0
0 0 0 0 0 1 0 1 1
0 0 1 1 1 1 1 0
0 0 0 0 1 0 0 0
1 1 0 1 0 1 1 1
0 0 1 0 0 1 1 1 0
0 1 1 1 0 0 1 1
1 1 0 0 0 1 1 0
1 1 1 0 0 1 0 0
1 0 0 0 0 1 1 1 0
1 1 0 0 1 0 0 1
0 1 0 1 0 0 1 0
1 1 1 0 0 1 1 0
0 0 0 1 0 0 0 0 1
0 1 1 1 1 1 1 0
0 1 1 1 1 0 0 0
1 0 0 1 0 1 1 0
0 1 1 0 0 1 1 0 0
0 1 0 0 0 1 0 0
1 0 0 1 0 1 1 1
0 0 0 0 1 1 1 1
1 1 0 0 0 1 1 0 1
1 0 0 1 1 0 1 1
1 0 0 1 0 1 1 1
1 0 0 1 0 0 1 1
0 0 1 1 1 0 1 1 1
0 0 1 1 1 0 1 0
0 1 1 0 1 1 0 1
0 1 0 1 1 0 1 0
1 0 0 1 0 0 1 0 0
1 0 0 0 0 0 0 0
1 1 0 1 1 0 0 1
1 0 1 0 1 1 1 1
0 0 1 0 1 0 0 0 0
1 0 0 1 1 1 0 0
1 0 0 1 1 0 1 0
0 1 0 0 1 0 1 0
0 0 0 0 0 1 0 0 0
1 0 1 1 0 1 1 0
0 1 1 1 1 0 1 1
0 0 1 0 1 1 1 1
1 0 1 0 0 0 1 0 1
0 0 0 1 0 1 0 0
0 1 1 1 0 0 0 0
0 0 1 1 1 1 1 1
0 0 1 0 0 1 0 0 0
1 1 0 1 0 1 0 1
1 0 0 0 1 1 0 0
0 0 0 0 0 1 0 1
0 1 1 1 1 1 0 1 0
1 1 0 1 0 0 1 0
0 1 1 1 1 1 1 1
1 0 0 0 1 0 0 0
0 1 1 1 1 0 0 0 0
0 0 0 0 0 1 0 0
0 0 0 1 1 0 1 1
1 1 0 0 0 0 1 1
1 1 0 1 1 0 1 1 0
1 0 0 0 1 1 1 0
0 0 0 1 1 1 1 0
0 1 0 0 1 1 0 0
0 0 1 0 1 1 0 1 0
0 0 1 0 0 0 1 1
1 1 1 0 0 0 0 1
1 1 0 0 1 1 1 0
0 0 1 0 1 1 1 0 0
0 0 0 1 0 0 1 0
1 1 0 0 1 1 1 1
0 0 1 0 0 1 0 0
0 1 1 0 0 1 0 1 0
0 0 0 1 0 0 1 1
0 0 0 1 1 0 1 0
0 1 0 1 0 0 1 1
0 1 0 1 0 1 1 1 0
1 0 0 0 1 0 1 0
0 1 1 0 1 1 1 0

6
Type de données
  • The time (measurement datation) is the first
    parameter for search and identification of the
    data
  • Time span or event ? Search cone
  • Data
  • Images (referenced in time), movies
  • Time series, 1D, 2D, 3D, Nx3D
  • Combined parameters
  • Simulation data
  • Standard SPASE Structured Datamodel

7
Archives and databases at CDPP
CDPP portal
SIPAD server
SiTOOLS server
THEMIS server
AMDA service
Deep Archive CNES
CSD CESR
Mirror THEMIS Database CESR
Local AMDA Database
CDAWeb USA
CSD CDPP Standardised Database
Access to distant databases
CASSINI MAPSKP CESR
CASSINI SKR LESIA
VEX-MAG IWF
8
II. Services
9
Ex. Prangé et al., Nature, 2004
10
(No Transcript)
11
AMDAAutomated Multi-Dataset Analysis
http//cdpp-amda.cesr.frhttp//cdpp.cesr.fr/downl
oads/publications/amda_caa_workshop.pdf
12
AMDA
Automated Mutiple Dataset Analysis
Visualisation editor
  • Web based service
  • Transparent (automated) access to data ? the user
    plays with parameters, not with files
  • AMDA local database
  • (CLUSTER, ACE, THEMIS, GEOTAIL, WIND, , STEREO,
    VEX, MEX, , IMP-8, ISEE, geomagnetic indices)
  • External databases
  • (CDAWeb, CASSINI MAPSKPSKR, VEX-MAG,
    THEMIS/CESR, )
  • Produces and exploits time-tables and catalogues

Download data
Parameter editor
External data
Conditional search
Visual search
Time-Table manager
!
AMDA DOES NOT WORK FULLY WITH InternetExplorer
and Safari AMDA is public (registred or guess
users, at http//cdpp-amda.cesr.fr)
13
VO AMDA SPASE compliant
VEX-MAG
AMDA
MAPSKP
System
SKR
Local Database
CDAWeb
THEMIS
Any databases including a SPASE based
interoperability layer can be used by AMDA
14
III. Participation in Virtual Observatory and
interoperability projects
15
  • The CDPP is a founder member of and an active
    participant to the SPASE consortium
  • The CDPP follows the IVOA development
  • A mini-VO TTE, Time-Table Exchange
  • HELIO
  • EuroPLANET

16
SPASE (Space Physics Archive Search and Extract )
http//www.spase-group.org/
  • A datamodel (a way standardised and structured-
    for describing data)
  • A dictionary for solar and space physics data
  • Tools (generator, editor, validator of
    descriptors, harvestor, parser, )

17
A mini-VO based on Time-Table Exchange
Collaboration CDPP-CAA-CESR-UKCSC
CAA Validated high resolution CLUSTER data
  • AMDA
  • Automated search
  • Visual search
  • ? Time-Tables

Time-Tables
Data, parameters
Data, parameters
Standardised sub-databases
User tools
QSAS
CL
18
HELIOThe Heliophysics Integrated Observatory
19
HELIOThe HELiophysics Integrated Observatory
  • FP7-Infrastructure (e-Infrastructure)
  • I3 proposal Scientific Data Infrastructure
  • 3 year project
  • Selected ? negociations

20
Objectives
  • Providing an integrated system for relying the
    sun-Earth-planet system from the exploitation of
    solar, heliospheric, magnetospheric and
    ionospheric data.
  • Providing a coordinated access to these data
    through data mining and analysis tools.

21
HELIO
  • The CDPP is mainly involved in
  • Research (R1, R2, R3, R4)
  • Automated search tools
  • Tools for generating, managing et exploiting the
    catalogues
  • Semantics, ontologies
  • Interfaces
  • Service (S2, S4, S5)
  • Metadata services, workflows, Access interfaces

22
IDIS Integrated Distributed Information
System ? Goal building a VO of planetology
23
Challenges of IDIS/plasma nodecomponents of the
problem
  • Study types
  • Case studies
  • Statistical/systematical studies
  • Simulation
  • Theory
  • Fields
  • Plasma
  • Comparative studies
  • Heliophysics studies
  • Global (inter-nodes) planetary studies
  • Type of ressources (data, services, tools, )
  • Plasmas, E-B fields
  • Neutral (atmosphere, exosphere, other..)
  • Dust, Rings
  • Small bodies
  • Planetary surface, volcanism,
  • Solar observations
  • Models, simulation codes
  • Data analysis tools
  • Data treatment tools
  • Two levels
  • Intra-node only dealing with plasma ressources,
    BUT, interacting with other plasma Vos (HELIO,
    US-VOs)
  • Inter-nodes exchanging ressources with nodes of
    different thematics
  • the Big Challenge
  • and a strong justification of a planetary VO

24
EuroPLANET/FP6
  • Co-leader (avec IWF, Graz) of Plasma Node of
    Europlanet/IDIS
  • Use Cases Analysis, definition/specifications of
    the future VO of planetology (User Requirements)
  • Searchable registry demonstrator based on SPASE
  • AMDA/IDIS Scientific exploitation demonstrator
    using VO concepts and technics
  • 3DView Multi-Mission a tool for spacecraft
    location and attitude in the solar system and
    around the planets to be interoperable

25
EuroPLANET/FP7
  • JRA-4 Tools for Transforming IDIS into a
    Planetary Virtual Observatory
  • The CDPP is leader of task-2 Interoperable Data
    Access
  • commitment L1-datamodel, i.e., up to the
    dataset (Measurement type) level
  • commitment Prototypes of interfaces to
    external VOs (HELIO, IVOA)
  • Prospective L2-datamodel, i.e., up to the
    granule-parameter level in the goal to make the
    system usable by generic tools
  • The CDPP participates to the task-3 Added Value
    Services for Users
  • SA-IDIS
  • The CDPP is co-leader (with IWF) of the Plasma
    Node of IDIS

Task-2 Interoperable Data Access
Task-3 Added Value Services
Task-4 New DataBases
A colateral goal diffusion of the VO culture
inside IDIS and the planetology community
26
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