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community:refhepsim_analysis [2015/12/03 16:24]
asc [Reading the event records] 		community:refhepsim_analysis [2016/04/28 15:24] (current)
asc [HepSim Analysis Primer]
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   * "hs-ide file.py" command to launch the editor (from the hs-tools package)   * "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)   * "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]]    * [[http://jwork.org/dmelt/ |DMelt  IDE]] 
  
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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.
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   * [[http://jwork.org/dmelt/api/doc.php/hephysics/jet/FastParticle|FastParticle]] a HEP particles with precomputed Et2,Eta,Phi for jet algorithms.    * [[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://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://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)    * [[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) 
community/refhepsim_analysis.1449159898.txt.gz ยท Last modified: 2015/12/03 16:24 by asc

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