Connecting the CDPP/AMDA service and IVOA tools A Science Case: Auroral Campaign Observations of Jupiter and Saturn
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1 Connecting the CDPP/AMDA service and IVOA tools A Science Case: Auroral Campaign Observations of Jupiter and Saturn E. Pallier 1, N. André 1, C. Jacquey 1, L. Lamy 2, B. Cecconi 2, E. Budnik 3, R. Hitier 4, V. Génot 1, M. Gangloff 1, F. Topf 5, H. Rucker 5, M. Khodachenko 5, W. Baumjohann 5, F. Dériot 6, D. Heulet 6 1 CDPP, CNRS/Université Paul Sabatier, 9, avenue du colonel Roche, Toulouse, France (nicolas.andre@cesr.fr) 2 LESIA, Observatoire Paris Meudon, Meudon, France 3 NOVELTIS, 2 Avenue Europe, Ramonville Saint Agne, France 4 Co-Libri, Cremefer Montréal, France 4 Space Research Institute, Austrian Academy of Sciences, OAW, Graz, Austria 6 CNES, Centre spatial de Toulouse, 18 avenue Edouard Belin, Toulouse, France December 3, :15-12:40 PV 2009, ESAC, Madrid
2 Towards a prototype of Virtual Observatory in Planetology?
3 Europlanet-RI IDIS (Integrated & Distributed Information System) 5 thematic nodes and 1 technical node Its objective: Develop Virtual Observatory tools In order to access data from laboratory measurements ground+space-based observations modeling results allowing comparative and pluri-disciplinary studies of planetary objects and environments Plasma Node
4 Science Case 3.1 Solar wind interaction with Jupiter and Saturn aurorae
5 The Physical Problem in a nutshell Atmosphere Auroral emissions (observed remotely) occur in the atmospheres of giant planets Their origin is the precipitation of electrons or ions (observed in-situ) along planetary magnetic field lines High-latitude Polar emissions Lower-latitude Auroral oval field-aligned currents Magnetopause MP Therefore, energetic processes observed in-situ in the ionized space environment of giant planets will have atmospheric counterparts owing to this coupling Solar wind / Magnetosphere / Ionosphere Coupling Auroral emissions will diagnose the dynamics of their magnetosphere Plasma
6 Plasma (multi-points) Heliospheric data Solar data SOHO LASCO movies Magnetospheric data ULYSSES MAG/SWOOPS Ascii, cdf, binary files Cassini MAG/CAPS/MIMI, Galileo MAG/PLS/EPD + Sim. Models Magnetosphere + Sim. Models SW propagation The overall analysis requires: Access to heterogeneous data (format, origin, databases) Use of specialized tools developed by different communities Cassini UVIS Galileo UVS Binary IRTF HST (STIS), IUE Fits,.. Atmosphere (multi- ) + Ref. Models Spectroscopy Cassini RPWS Galileo PWS XMM EPIC Chandra ACIS Planetoplasma data Cassini INCA
7 In-situ Plasma Data The CDPP/AMDA Service
8 AMDA (Automated Multi-Dataset Analysis) Functionalities Web-based facility for online analysis of space physics data Evolving in the VO paradigm Automated access to data the user plays with parameters, not with data files Produces and exploits time-tables Its 7 functionalities allow to use and couple these two objects 1. Visualization editor 2. Download data 3. Parameter editor 4. External data 5.Visual search 6. Conditional search 7. Time-Table manager
9 Illustration : Substorm activity at Saturn Solar wind data observed at Earth and propagated at Saturn Cassini Magnetometer data MAPSKP data in AMDA (remote access to CESR) Cassini SKR radio data in AMDA (remote access to LESIA) Cassini radio emissions In-situ observations show the arrival at Saturn of a solar wind disturbance (top) that triggers a magnetic reconfiguration (middle) of the magnetosphere and drives more intense radio auroral emissions (bottom)
10 Multi-wavelength observations of giant planet auroral emissions IVOA Tools
11 Access to spatial, temporal, and multi-spectral information UV X-rays Radio IR
12 Temporal (Aladin?) Targeted VO tools Data visualization Time series Data projection Spatial localization Spatial (Topcat? Aladin?) Multi-spectral (VOSPec? SpecView?) Data superposition Spectral analysis
13 Case Study: Aladin
14 Illustration: Accessing the relevant HST observations (<1000) HST Archive in Baltimore, search by keywords in abstract database
15 Illustration: Accessing HST observations (abstract search) HST Archive in Baltimore, search by keywords in abstract database
16 Illustration: Accessing the relevant HST observations (datasets) HST Archive in Baltimore, search by keywords in abstract database
17 Illustration: Accessing the relevant HST observations (preview) Preview of data possible but quality is not good enough
18 Illustration: Visualizing HST observations with Aladin Visualization of data with Aladin offered and of good quality!
19 Beyond Aladin? Extending Aladin functionalities to satisfy our user requirements
20 Correcting HST observations Automated pre-treatment from HST pipeline: (correction of dark background noise, flat field, geometrical distorsion, absolute and wavelength photometric calibration, etc ) Additional corrections required : parasite emissions - Reflected flux by the planet - diffused emissions (terrestrial geocorona) IDL routines to be plugged in Aladin? Our expert: Laurent Lamy (LESIA, Imperial College)
21 Need for projecting / localizing HST observations
22 Correlating HST observations with X-ray, IR and VIS observations Aladin could be used too Stallard et al., Nature, 2009 Cassini/ISS Image at Jupiter Chandra Image Jupiter
23 In addition: HST database recently connected to Specview Recently available
24 A possible service 1. Visualization editor 2. Download data 3. Parameter editor 4. External data 5.Visual search 6. Conditional search 7. Time-Table manager 8. Astronomical data Do they exist HST observations for the identified time period? If yes, visualize them (with Aladin) and download them if requested by the user
25 Our proposed approach Data Finder: learn how to find all existing astronomical giant planet auroral observations (-> Time-Table, catalogue) 1) in UV (e.g., from the HST Science Data Archive), 2) in X-ray (e.g., from the XMM-Newton Science Archive) 3) in IR and 4) in Radio, using available astronomical catalogues, VO and associated search engines Data Access: learn how to understand and read the corresponding data and metadata, together with their calibration files (standard(s), protocol(s),...) Use of Existing Tools: learn how to use the VO tools mentioned previously with the corresponding astronomical data 1) as they stand, 2) also with existing planetary data on giant planet auroral emissions obtained from planetary spacecraft (e.g., from the Cassini UVIS, Cassini VIMS, Galileo UVS instruments at PDS), 3) identify the technical and scientific limitations (if any) of these VO tools in order to satisfy our requirements
26 Our proposed approach Adaptation of Existing Tools to our Needs: learn how to extend the existing tools and develop relevant and associated Added Value Services in order to fully satisfy our requirements Connection between AMDA and VO tools: learn how to connect our AMDA service with corresponding data and tools in an interoperable or integrated way AMDA AMDA+
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