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AMDA 1.0 (Automated Multi Dataset Analysis)

Official frontpage: http://cdpp-amda.cesr.fr

 

RESTRICTED ACCESS: If you want to enter the current stable version of AMDA 1.0, please register yourself by sending a mail to AMDA Support.

GUEST ACCESS: If you want to try AMDA without registering, please enter:
Username: guest
Password: your E-Mail address
A guest-session will be opened exactly 60 minutes!

You can find a demo tour on how to use AMDA here: Demo Tour

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AMDA Introduction:

The plasma objects studied in space physics consist of gigantic systems characterized by a multi-scale 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 or statistical studies as well. The ISTP program, the CLUSTER, THEMIS and MMS missions have been defined for facing this requirement.

Integrated analysis of multi-point and multi-instrument data means that the researcher has to:

  • find interesting cases;
  • when some cases have been found, find and extract the data of interest;
  • when the data is collected, treat them (formatting, bad point filtering, resampling, data merging);
  • visualize combined (i.e. coming from various sets) data;
  • perform calculation and apply various specific tools on the data

Depending on the heterogeneity of the data and the dispersion of their sources, the researchers can spend a lot of energy and time just for searching, filtering, 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 server with the following goals (functionalities):    

  • 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;
  • 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;
  • performing automated and semi-automated characterization of events, producing catalogues (time-tables + extracted parameters);
  • extracting sub-database from an input time-table;
  • performing basing data treatment (formatting, bad point filtering, re-sampling, data merging) in order to provide to the user data ready to use with her/his favorite software;

These tools can be applied on large amount of data (including multi-mission/multi-instrument data-sets) in a transparent way by the users.

The data is either physically resident in the AMDA database or remotely accessed from remote sites via web-serices (CDAWEB, MAPSKP).

The service can be reached and used from other sites according to the Virtual Observatory paradigm.

AMDA is developed on the basis of an existing DD System. AMDA works in a database which includes daa collections obtained from CDPP, CDAWeb, NSSDCFTP, WDC for Geomagnetism (Kyoto) etc.