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Event-based data processing and analysis framework

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Artus

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Documentation is found in the wiki.

(a dedicated documentation for HarryPlotter can be found here)

Example

To help understand the framework concept, a comprehensive example is included. To try it out in a CMSSW environment, run the following code:

scram p CMSSW_6_2_3
cd CMSSW_6_2_3/
cmsenv
cd src/
git clone https://ekptrac.physik.uni-karlsruhe.de/git/Artus
scram b -j4
scram b runtests
cd Artus/Example/data/
artusExample exampleConfig.json
root -l sample_output.root  

This will produce the output file "sample_output.root" which contains two folders with histograms and different filter settings. You can also run the example with a different configuration file:

artusExample exampleConfigNtuple.json

This will produce the output file sample_output_ntuple.root which uses the NtupleConsumerBase class to produce ROOT Ntuples instead of histograms.

Standalone CMake compile

To compile standalone, make sure you have a recent ROOT and cmake installation available in your system. Furthermore, you should have at least gcc 4.7 to benefit from the C++11 support.

git clone https://ekptrac.physik.uni-karlsruhe.de/git/Artus
cd Artus
cmake .
make -j4
cd Example/data/
../../artusExample exampleConfig.json
root -l sample_output.root

This will produce the output file "sample_output.root" which contains two folders with histograms and different filter settings. You can also run the example with a different configuration file:

../../artusExample exampleConfigNtuple.json

This will produce the output file sample_output_ntuple.root which uses the NtupleConsumerBase class to produce ROOT Ntuples instead of histograms.

Code checks and static analysis

Information about compiler warnings and static code analysis can be found at Core/docs/linter.md.

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  • C++ 59.1%
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