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SUMMARY:GELATIO - The GERDA framework for digital signal analysis
DTSTART;VALUE=DATE-TIME:20110905T150500Z
DTEND;VALUE=DATE-TIME:20110905T153000Z
DTSTAMP;VALUE=DATE-TIME:20130523T142053Z
UID:indico-contribution-43@cern.ch
DESCRIPTION:Speakers: Mr. AGOSTINI\, Matteo (Munich Technical University)\
 nWe present the concept\, the implementation and the performance of a new 
 software framework developed to provide a flexible and user-friendly envir
 onment for advanced analysis and processing of digital signals. The softwa
 re has been designed to handle the full data analysis flow of GERDA\, a lo
 w-background experiment which searches for the neutrinoless double beta de
 cay of Ge-76 by using high-purity germanium detectors at the INFN Gran Sas
 so underground Laboratory. The framework organizes the data into a multi-t
 ier structure\, from the raw traces of the Ge detectors up to the condense
 d analysis parameters\, and includes tools and utilities to handle the dat
 a stream between the different tiers. It supports a multi-channel modular 
 and flexible analysis\, widely customizable by the user either via human-r
 eadable initialization files or via a graphical interface. The framework i
 s designed to be solid\, maintainable over a long lifetime and scalable to
  the future phases of the experiment. To ensure flexibility and good compu
 tational performances\, the framework includes both compiled and interpret
 ed code (C++\, Python and Bash). It relies upon ROOT and its extension TAM
 \, which provides compatibility with PROOF\, enabling the software to run 
 in parallel on clusters of computers or multi-core machines. The software 
 was tested on different platforms and benchmarked in several GERDA-related
  applications. A stable version is presently available for the collaborati
 on and it is used to provide the reference analysis of the GERDA data. A f
 ew applications of the framework to real GERDA data are presented and disc
 ussed.\n\nhttp://indico.cern.ch/contributionDisplay.py?contribId=43&sessio
 nId=2&confId=93877
LOCATION:
URL:http://indico.cern.ch/contributionDisplay.py?contribId=43&sessionId=2&
 confId=93877
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