AMDA Introduction

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.

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 are collected, treat them (formatting, bad point filtering, resampling, data merging)

  • visualise 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 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:

The service provides functionalities for

  • 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 characterisation of events, producing catalogues (time-tables + extracted parameters).

  • Extracting sub-database from an input time-table.

  • 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.

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

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

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