Difference between revisions of "Simulation Tasks - collection"

From Cuawiki
Jump to: navigation, search
 
(9 intermediate revisions by the same user not shown)
Line 1: Line 1:
* Implement EEEMCal (contact: Carlos)
+
* Implement EEEMCal ('''contact: [mailto:munoz@jlab.org Carlos]''')
 
   
 
   
* Implement barrel homogeneous EMCal (contact: Nathaly)
+
* Implement barrel homogeneous EMCal ('''contact: [mailto:nathaly@mit.edu Nathaly]''')
  
 
* Compare different reconstruction algorithms  
 
* Compare different reconstruction algorithms  
  
* Investigate single pi0 vs. pi0 from decay - machine learning application
+
* Investigate discrimination between single photon and merged photons from pi0 decay based on cluster tower energy distribution; same for e/pi separation - possibly explore machine learning application ('''contact: [mailto:renee.fatemi@uky.edu Renee]''')
  
 
* Hybrid calorimeter clustering
 
* Hybrid calorimeter clustering
Line 12: Line 12:
 
* Light transport going beyond summing up GEANT4 hits
 
* Light transport going beyond summing up GEANT4 hits
  
* Determine impact of calorimeter support structure on physics performance; define module geometry
+
* Determine impact of calorimeter support structure on physics performance; define module geometry ('''contact: [mailto:tadevosn@jlab.org Vardan], Arthur''')
 +
::* study/conclude on the tolerance for the size of the gaps between modules (defined by the alveolar and other support elements); also for the transition region between two calorimeters.
 +
 
 +
* Angular (rapidity) dependencies: for non-projective geometry for modules with the same length, the EMCal depth seen by the particle will depend on rapidity (with 45 degrees to the beam line it will be a factor of sqrt(2) larger compared to 0 degree). We know that e/h separation will be affected (shower profile), but simple E/p matching performance for eID may be affected too (deeper EMCal - more probability for charged hadron to shower); also the affect of gaps will be different with the angle.
 +
 
 +
* Comparison of simulation with test beam data (electrons, pions, etc) and find the ways for simulation tuning (e.g. light transport model and/or non-uniformity map, etc.) - '''contacts: [mailto:petrs@jlab.org Petr],'''
 +
 
 +
* Detector Design Optimization ('''contact: [mailto:cfanelli@mit.edu Cristiano]''')
  
 
* ...
 
* ...

Latest revision as of 10:45, 17 May 2021

  • Implement EEEMCal (contact: Carlos)
  • Implement barrel homogeneous EMCal (contact: Nathaly)
  • Compare different reconstruction algorithms
  • Investigate discrimination between single photon and merged photons from pi0 decay based on cluster tower energy distribution; same for e/pi separation - possibly explore machine learning application (contact: Renee)
  • Hybrid calorimeter clustering
  • see JLab HyCal
  • Light transport going beyond summing up GEANT4 hits
  • Determine impact of calorimeter support structure on physics performance; define module geometry (contact: Vardan, Arthur)
  • study/conclude on the tolerance for the size of the gaps between modules (defined by the alveolar and other support elements); also for the transition region between two calorimeters.
  • Angular (rapidity) dependencies: for non-projective geometry for modules with the same length, the EMCal depth seen by the particle will depend on rapidity (with 45 degrees to the beam line it will be a factor of sqrt(2) larger compared to 0 degree). We know that e/h separation will be affected (shower profile), but simple E/p matching performance for eID may be affected too (deeper EMCal - more probability for charged hadron to shower); also the affect of gaps will be different with the angle.
  • Comparison of simulation with test beam data (electrons, pions, etc) and find the ways for simulation tuning (e.g. light transport model and/or non-uniformity map, etc.) - contacts: Petr,
  • Detector Design Optimization (contact: Cristiano)
  • ...