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community:refhepsim_analysis [2015/12/03 16:24]
asc [Reading the event records]
community:refhepsim_analysis [2015/12/03 16:25]
asc [Reading the event records]
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 </code> </code>
 To build anti-kT jets, we use [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/JetN2|JetN2 clustering algorithm]] implemented in Java. To build anti-kT jets, we use [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/JetN2|JetN2 clustering algorithm]] implemented in Java.
-The description of this algorithm is given in [http://arxiv.org/abs/1510.06638].+The description of this algorithm is given in [[http://arxiv.org/abs/1510.06638]].
  It is a similar to FastJet N*N algorithm and typically shows   It is a similar to FastJet N*N algorithm and typically shows 
 a performance similar to the C++ analogue. Tests indicate that the JetN2 clustering algorithm is about twice slower that C++, but by a factor 20 faster than the traditional N^3 jet clustering algorithms. You can find benchmarking results in [[https://github.com/chekanov/hepjet/|HepJet]] github repository. a performance similar to the C++ analogue. Tests indicate that the JetN2 clustering algorithm is about twice slower that C++, but by a factor 20 faster than the traditional N^3 jet clustering algorithms. You can find benchmarking results in [[https://github.com/chekanov/hepjet/|HepJet]] github repository.
community/refhepsim_analysis.txt ยท Last modified: 2016/04/28 15:24 by asc