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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> 
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								<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>                                    
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							<h3>AMDA THANKS</h3>
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									<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 title="MAPS Key Parameter Database, IRAP/OMP, Toulouse" href="http://mapskp.cesr.fr/" target="_blank">MAPSKP</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 title="Danish Meteorological Institute" href="http://www.dmi.dk" target="_blank">DMI</a>
											<li><a href="http://www.lesia.obspm.fr/kronos/" target="_blank">LESIA/OBSPM</a>
											<li><a title="UK Solar System Data Centre" href="http://www.ukssdc.ac.uk/" target="_blank">UKSSDC</a>
											<li><a title="STEREO science center" href="http://stereo-ssc.nascom.nasa.gov/" target="_blank">SSC</a>
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														<h2>Introduction to AMDA</h2>
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							<p>
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							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.
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							</p>
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							<p>Integrated analysis of multi-point and multi-instrument data means that the researcher has to:</p>
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							<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>
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							<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>
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								<ul>
									<li>performing automated search of events, producing time-tables. This tool scans
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										the content of the data and automatically tests mathematical criteria edited
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										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
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										catalogues (time-tables + statistical parameters)</li>
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									<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>
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							<p>These tools can be applied on large amount of data (including 
							multi-mission/multi-instrument datasets).
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							</p>
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							<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>
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							<hr>
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							<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>
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							<br/><br/>
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							<p> <a href="..">AMDA Home =&gt;</a></p>
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