# Difference between revisions of "Simulation Tasks - collection"

From Cuawiki

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* Compare different reconstruction algorithms | * Compare different reconstruction algorithms | ||

− | * Investigate discrimination between single photon and merged photons from pi0 decay based on cluster | + | * 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 |

− | tower energy distribution; same for e/pi separation - possibly explore machine learning application | + | |

* Hybrid calorimeter clustering | * Hybrid calorimeter clustering |

## Revision as of 17:51, 29 April 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

- 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

- 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 the item 1 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.)

- ...