User Tools

Site Tools


community:refhepsim

Differences

This shows you the differences between two versions of the page.

Link to this comparison view

Both sides previous revisionPrevious revision
Next revision
Previous revision
Next revisionBoth sides next revision
community:refhepsim [2016/03/23 21:01] – [Reading NLO predictions] asccommunity:refhepsim [2016/03/31 00:41] – [Method IV. Running in a GUI mode using URL dialog] asc
Line 25: Line 25:
   * [[vlhc:hcal|HCAL studies]] explains how to analyse ROOT data after fast detector simulations used for FCC studies   * [[vlhc:hcal|HCAL studies]] explains how to analyse ROOT data after fast detector simulations used for FCC studies
  
-Currently these studies are based on  [[https://atlaswww.hep.anl.gov/asc/jas4pp|Jas4pp data-analysis environment]].+Currently these studies are based on  [[http://atlaswww.hep.anl.gov/asc/jas4pp|Jas4pp data-analysis environment]]. 
 +Geometry files for full detector simulations can be found in the  [[http://atlaswww.hep.anl.gov/hepsim/soft/detectors/|detector repository]].
  
 This manual describes how to work with truth-level samples posted on HepSim. This manual describes how to work with truth-level samples posted on HepSim.
Line 90: Line 91:
 You will see a pop-up GUI browser which displays the MC record. You can search for a given particle name, view data layouts and log files using the [Menu]: You will see a pop-up GUI browser which displays the MC record. You can search for a given particle name, view data layouts and log files using the [Menu]:
  
 +<hidden>
 {{:community:promc_browser.png| ProMC browser}} {{:community:promc_browser.png| ProMC browser}}
 +</hidden>
  
 This works for full parton-shower simulations with detailed information on particles. This works for full parton-shower simulations with detailed information on particles.
Line 348: Line 351:
 hs-run ttbar_mg5.py hs-run ttbar_mg5.py
 </code> </code>
-Another approach is to use [[http://jwork.org/dmelt/ | DataMelt]] that gives more flexibility and more libraries for analysis. 
-In this example, we will run a Python script that downloads data from URL into the computer memory  and runs it in a batch mode. First, you will need an analysis code from HepSim. Look at ttbar sample from Madgraph: [[http://atlaswww.hep.anl.gov/hepsim/info.php?item=15 | ttbar_mg5]].  Find the URL location of the analysis script ("ttbar_mg5.py") located at the bottom of this page. Then copy the URL link of the file *.py using the right mouse button ("Copy URL Location"). Let us make a calculation of differential ttbar cross section: 
  
 +Another approach is to use [[http://atlaswww.hep.anl.gov/asc/jas4pp | Jas4pp]] or  [[http://jwork.org/dmelt/ | DataMelt]]. Such programs 
 +give more flexibility and more libraries for analysis.
 +In this example, we will run a Python script that downloads data from URL into the computer memory  and runs it in a batch mode. First, you will need an analysis code from HepSim. Look at ttbar sample from Madgraph: [[http://atlaswww.hep.anl.gov/hepsim/info.php?item=15 | ttbar_mg5]].  Find the URL location of the analysis script ("ttbar_mg5.py") located at the bottom of this page. Then copy the URL link of the file *.py using the right mouse button ("Copy URL Location"). Let us make a calculation of differential ttbar cross section. 
 +
 +Here is how to process the analysis using  [[http://atlaswww.hep.anl.gov/asc/jas4pp | Jas4pp]]:
 +
 +<code bash>
 +wget http://atlaswww.hep.anl.gov/asc/jas4pp/download/current.php -O jas4pp.tgz
 +tar -zvxf jas4pp.tgz
 +cd jas4pp
 +source ./setup.sh # takes 5 sec for first-time optimization
 +wget http://mc.hep.anl.gov/asc/hepsim/events/pp/100tev/ttbar_mg5/macros/ttbar_mg5.py # get the HepSim script
 +fpad ttbar_mg5.py # process it in a batch mode.
 +</code>
 +
 +
 +
 +Similarly, you can use a more complex [[http://jwork.org/dmelt/ | DataMelt]]:
 <code bash> <code bash>
 wget -O dmelt.zip http://jwork.org/dmelt/download/current.php                        # get DataMelt wget -O dmelt.zip http://jwork.org/dmelt/download/current.php                        # get DataMelt
Line 387: Line 406:
 </code> </code>
  
 +Similarly,  you can use  [[http://atlaswww.hep.anl.gov/asc/jas4pp | Jas4pp]].
 ===== Method III. Running in a GUI mode  ==== ===== Method III. Running in a GUI mode  ====
  
Line 405: Line 425:
  
 ===== Method IV. Running in a GUI mode using URL dialog  ==== ===== Method IV. Running in a GUI mode using URL dialog  ====
 +
 +
  
 If you use DMelt, you can run this code using If you use DMelt, you can run this code using
Line 787: Line 809:
 Currently, the full detector simulation can be done using the SLIC software. You will need to convert ProMC files to LCIO files and Currently, the full detector simulation can be done using the SLIC software. You will need to convert ProMC files to LCIO files and
 use these files for the "sclic" Geant4-based program. use these files for the "sclic" Geant4-based program.
 +
 +The physics performance studies are  [[fcs:start|listed here]]. They are based on  [[http://atlaswww.hep.anl.gov/asc/jas4pp|Jas4pp program]].
  
 How to convert ProMC to LCIO files is described in How to convert ProMC to LCIO files is described in
 [[community:refhepsim&#converting_to_lcio]] [[community:refhepsim&#converting_to_lcio]]
  
-You can analyse SLCIO files as described in [[https://atlaswww.hep.anl.gov/asc/wikidoc/doku.php?id=fcs:fpad|FPadSoft environment]] explains how to analyse LCIO data after full detector simulations 
 ====== Pileups mixing  ====== ====== Pileups mixing  ======
  
community/refhepsim.txt · Last modified: 2016/04/28 18:23 by asc