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--- community:refhepsim_analysis [2015/10/23 01:02] – asc
+++ community:refhepsim_analysis [2016/04/28 15:24] (current) – [HepSim Analysis Primer] asc
@@ Line 17: / Line 17: @@
   * "hs-ide file.py" command to launch the editor (from the hs-tools package)
   * "hs-run file.py" command to run using a command-line ("batch mode", from the hs-tools package)
+  * [[http://atlaswww.hep.anl.gov/asc/jas4pp/| Jas4pp]]
   * [[http://jwork.org/dmelt/ |DMelt  IDE]]
@@ Line 203: / Line 204: @@
                  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]].
@@ Line 277: / Line 280: @@
   * [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/FastParticle|FastParticle]] a HEP particles with precomputed Et2,Eta,Phi for jet algorithms.
   * [[http://java.freehep.org/freehep-physics/apidocs/hep/physics/vec/package-summary.html|Physics vectors]] typical HEP physics vectors the Lorentz transformations
-  * [[http://jwork.org/dmlt/api/doc.php/hephysics/jet/JetN2|JetN2]] recommended kt-type jet clustering ng algorithms (kT, anti-kT, CA) implemented in Java using N^2 approach, similar to the FastJet algorithm. Recommended for hadron collisions
+  * [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/JetN2|JetN2]] recommended kt-type jet clustering ng algorithms (kT, anti-kT, CA) implemented in Java using N^2 approach, similar to the FastJet algorithm. Recommended for hadron collisions
   * [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/SCJet|SCJet]] traditional kt-type jet clustering algorithms (kT, anti-kT) for pp implemented in Java using N^3 approach (slow)
   * [[http://java.freehep.org/freehep-physics/apidocs/hep/physics/jet/package-summary.html|Jets and event shapes]] traditional jet algorithms and event shapes for e+e- (Geneva, Jade, Durham jets)