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<announcer>
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  <title></title>
  <name first="Alan" middle="" last="Barr"></name>
  <organization>University of Oxford (GB)</organization>
  <email>alan.barr@cern.ch</email>
  <userid>19868</userid>
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<title>CHEP04</title>
<description>These are the Web pages providing information for the upcoming Computing in High Energy Physics (CHEP) conference in September 2004.

CHEP conferences provide an international forum to exchange information on computing experience and needs for the High Energy Physics community, and to review recent, ongoing and future activities.

CHEP conferences are held every 18 months, the previous one being held in San Diego in March 2003.</description>
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<location>
 <name>Interlaken, Switzerland</name>
 <address></address>
 <room></room>
</location>
<startDate>2004-09-27T08:30:00</startDate>
<endDate>2004-10-01T18:00:00</endDate>
<creationDate>2004-02-03T15:53:31</creationDate>
<modificationDate>2012-08-22T15:40:41</modificationDate>
<timezone>Europe/Zurich</timezone>
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 <track>Track 3 - Core Software</track>
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 <title>AIDA, JAIDA and AIDAJNI: Data Analysis using interfaces</title>
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   <title></title>
   <name first="Victor" middle="" last="SERBO"></name>
   <organization>AIDA</organization>
   <email></email>
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   <title></title>
   <name first="M." middle="" last="Donszelmann"></name>
   <organization>SLAC</organization>
   <email>mark.donszelmann@slac.stanford.edu</email>
  </user>
  <user>
   <title></title>
   <name first="T." middle="" last="Johnson"></name>
   <organization>SLAC</organization>
   <email>tony.johnson@slac.stanford.edu</email>
  </user>
  <user>
   <title></title>
   <name first="M." middle="" last="Turri"></name>
   <organization>SLAC</organization>
   <email>turri@slac.stanford.edu</email>
  </user>
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   <title></title>
   <name first="V." middle="" last="Serbo"></name>
   <organization>SLAC</organization>
   <email>serbo@slac.stanford.edu</email>
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 </primaryAuthors>
 <location>
  <name>Interlaken, Switzerland</name>
  <address></address>
  <room>Brunig</room>
 </location>
 <startDate>2004-09-27T15:20:00</startDate>
 <endDate>2004-09-27T15:40:00</endDate>
 <duration>00:20</duration>
 <abstract>AIDA, Abstract Interfaces for Data Analysis, is a set of abstract interfaces
for data analysis components: Histograms, Ntuples, Functions, Fitter,
Plotter and other typical analysis categories. The interfaces are currently
defined in Java, C++ and Python and implementations exist in the form of
libraries and tools using C++ (Anaphe/Lizard, OpenScientist), Java (Java
Analysis Studio) and Python (PAIDA).

JAIDA is the full implementation of AIDA in Java. It is used internally by
JAS3 as its analysis core but it can also be used independently for either
batch or interactive processing, or for web applications to access data,
make plots and simple data analysis through a browser. Some of the JAIDA
features are the ability to open AIDA, ROOT and PAW files and the support of
an extensible set of fit methods (chi-square, least squares, binned/unbinned
likelihood, etc) to be matched with an extensible set of optimizers
including Minuit and Uncmin.

AIDAJNI is glue code between C++ and Java that allows any C++ code to access
any Java implementation of the AIDA interfaces. For example AIDAJNI is used
with Geant4 to access the JAIDA implementation of AIDA.

This paper gives an update on the AIDA 3.2.1 interfaces and its
corresponding JAIDA implementation. Examples will be provided on how to use
JAIDA within JAS3, as a standalone library and from C++ using AIDAJNI.

References:

http://aida.freehep.org/
http://java.freehep.org/jaida
http://java.freehep.org/aidajni
http://jas.freehep.org/jas3</abstract>
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