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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><a href="https://doi.org/10.1016/j.pss.2021.105214" target="_blank">Article AMDA</h4></a></br>
<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>
</div>
<h3>AMDA Tools</h3>
<div class="title">
<ul>
<li><h4>Python package</h4>
<ul>
<li><a href="https://speasy.readthedocs.io/en/stable/" target="_blank">speasy</a>
</ul>
</ul>
</div>
<h3>AMDA Services</h3>
<div class="title">
<ul>
<li><h4>WebServices</h4>
<ul>
<li><a href="apidoc" target="_blank">REST</a>
<li><a href="Methods_AMDA.xml" target="_blank">SOAP</a>
<!-- <li><a title="TBD" target="_blank">Special WebServices</a> -->
</ul>
<li><h4>Access to Shared Time Tables and Catalogs</h4>
<ul>
<li><a href="../catalogTTList.html" target="_blank">Time Tables & Catalogs</a>
</ul>
</ul>
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<h3>AMDA THANKS</h3>
<div class="title">
<ul>
<li><h4>Data Centers</h4>
<ul>
<li><a title="Institut de Recherche en Astrophysique et Planétologie" href="http://www.irap.omp.eu/" target="_blank">IRAP</a>
<li><a title="Coordinated Data Analysis Web, Goddard" href="http://cdaweb.gsfc.nasa.gov/" target="_blank">CDAWeb</a>
<li><a title="Planetary Data System" href="http://pds.jpl.nasa.gov/" target="_blank">PDS</a>
<li><a href="http://omniweb.gsfc.nasa.gov/" target="_blank">OMNIWeb</a>
<li><a title="World Data Center for Magnetism, Kyoto" href="http://swdcwww.kugi.kyoto-u.ac.jp/" target="_blank">WDC, Kyoto</a>
<li><a href="http://themis.ssl.berkeley.edu/index.shtml" target="_blank">THEMIS</a>
<li><a title="Cluster Science Archive" href="https://csa.esac.esa.int/csa-web/" target="_blank">CSA</a>
<li><a title="International Service of Geomagnetic Indices" href="http://isgi.unistra.fr/" target="_blank">IGSI/UNISTRA</a>
<li><a href="http://www.lesia.obspm.fr/kronos/" target="_blank">LESIA/OBSPM</a>
<li><a title="STEREO science center" href="http://stereo-ssc.nascom.nasa.gov/" target="_blank">SSC</a>
</ul>
</ul>
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<h2>Introduction to AMDA</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 and statistical studies. In particular 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 their sources, scientists may
spend a lot of energy and time for searching, finding, treating and preparing the
data before even starting scientific analysis. In order to help the users to faster
reach the data analysis and interpretation step, the CDPP has developped AMDA 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 tests 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 + statistical 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).
</p>
<p>The data are either physically resident in the AMDA database
or remotely accessed from remote sites via web-services (CDAWeb, THEMIS).</p>
<p>Simulation results and analytical models (some of them run in real time) are also
accessible (either locally or remotely).</p>
<p>The service can be reached and used from other sites according
to the Virtual Observatory paradigm. (SAMP and EPN-TAP protocols are enabled, VOTables are commonly used).</p>
<hr>
<p>AMDA is developed on the basis of an existing DD SYSTEM (Andrey Fedorov, IRAP).
AMDA is provided by the Centre de Données de la Physique des Plasmas (<a href="http://www.cdpp.eu" target="_blank">CDPP</a>) supported by CNRS, CNES, Observatoire de Paris and Université Paul Sabatier, Toulouse. French ANR, EU and ESA projects have supported part of the developments.</p>
<br/>
<p> <a href="..">AMDA Home =></a></p>
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