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--- community:refhepsim_analysis [2015/10/23 01:02]
asc
+++ community:refhepsim_analysis [2015/12/03 16:25]
asc [Reading the event records]
@@ Line 203: / Line 203: @@
                  print "pT of a leading jet =",jets[0].perp()," GeV"
 </code>
-To build anti-kT jets, we use [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/JetN2|JetN2 clustering algorithm]] implemented in Java. It is a similar to FastJet N*N algorithm and typically shows
+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]].
+ 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.
 Look at a typical example of jet clustering in the [[http://atlaswww.hep.anl.gov/hepsim/code.php?item=88&code=qcd_pythia8_ptbins_jets.py| qcd_pythia8_ptbins_jets.py code]].

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