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<html xmlns="http://www.w3.org/TR/REC-html40"><head><title>About AMDA</title>
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<title>AMDA About</title>
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<h3>AMDA DOCS</h3>
<div class="title">
<ul>
<li><h4>Presentations</h4>
<ul>
<li><a href="http://cdpp.irap.omp.eu/index.php/ressources/presentations" target="_blank">CDPP/AMDA</a>
</ul>
<li><h4>Publications</h4>
<ul>
<li> <a href="http://cdpp.irap.omp.eu/index.php/ressources/publications/tools-and-the-vo" target="_blank">
Tools and the Virtual Observatories</a></li>
<li><a href="http://cdpp.irap.omp.eu/index.php/ressources/publications/science-application" target="_blank">
Science applications</a>
</ul>
</ul>
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<h3>AMDA Services</h3>
<div class="title">
<ul>
<li><h4>WebServices</h4>
<ul>
<li><a title="REST" href="apidoc" target="_blank">REST</a>
<li><a title="SOAP" target="_blank">SOAP</a>
<li><a title="Special" target="_blank">Special WebServices</a>
</ul>
<li><h4>Access to Shared Time Tables and Catalogs</h4>
<ul>
<li><a title="TimeTables" target="_blank">Time Tables</a>
<li><a title="Catalogs" target="_blank">Catalogs</a>
</ul>
</ul>
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<div id="left">
<h2>AMDA Intro</h2>
<p>
The plasma objects studied in space physics consist of gigantic systems characterised by
multiscale dynamics and fast long range couplings between key regions. For
studying such systems, it is necessary to perform integrated multi-point/multi-instrument
analysis in case studies and statistical studies as well. The ISTP program, the
CLUSTER, THEMIS and MMS missions have been defined for facing this requirement.
</p>
<p>Integrated
analysis of multi-point and multi-instrument data means that the researcher has
to:
</p>
<ul>
<li> find interesting cases</li>
<li> when some cases have been found, find and extract the data of interest</li>
<li> when the data are collected, treat them (formatting, bad point filtering,
resampling, data merging)</li>
<li> visualise combined (i.e. coming from various sets) data</li>
<li>perform calculation and apply various
specific tools on the data
</li>
</ul>
<p> Depending on the heterogeneity of the data and the dispersion of their sources,
the scientists can spend a lot of energy and time just for searching, finding,
treating and preparing the data before starting scientific analysis. In order
to help the users to faster reach the data analysis and interpretation step,
the CDPP is developing a service with the following goals: </p>
<p> The service provides functionalities for </p>
<ul>
<li>performing automated search of events, producing time-tables. This tool scans
the content of the data and automatically test mathematical criteria edited
by the user</li>
<li>performing semi-automated search of events, producing time-tables. This
tool allows the user to browse the data she/he selected by sequentially producing
a figure he has predefined</li>
<li>performing automated and semi-automated characterisation of events, producing
catalogues (time-tables + extracted parameters)</li>
<li>extracting sub-database from an input time-table</li>
<li>performing basic data treatment (formatting, bad point filtering, re-sampling,
data merging, ) in order to provide to the user data ready to use with her/his
favourite software</li>
</ul>
<p> These tools can be applied on large amount of data (including
multi-mission/multi-instrument datasets) in a transparent way by the users.
</p>
<p> The data are either physically resident in the AMDA database
or remotely accessed from remote sites via web-services (CDAWEB, MAPSKP). </p>
<p> The service can be reached and used from other sites according
to the Virtual Observatory paradigm. </p>
<hr>
<p>AMDA is developed on the basis of an existing DD SYSTEM (Andrey Fedorov, IRAP).</p>
<br/><br/>
<p> <a href="..">AMDA Home =></a></p>
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