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Validation for LHC experiments 11.09.2012 1

Validation for LHC experiments

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Validation for LHC experiments. 11.09.2012. Content. Current status O pen points LHCb request What should we do next for LHC validation. Current status. simplified calorimeter ATLAS TileCal , LHCb HAD Fe/ Scintilator ATLAS ECal Pb / Ar ATLAS HEC Cu/ Ar ATLAS FCal W/ Ar - PowerPoint PPT Presentation

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Page 1: Validation for LHC experiments

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Validation for LHC experiments

11.09.2012

Page 2: Validation for LHC experiments

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Content

Current status Open points LHCb request What should we do next for LHC validation

Page 3: Validation for LHC experiments

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Current status

simplified calorimeter ATLAS TileCal, LHCb HAD Fe/Scintilator ATLAS ECal Pb/Ar ATLAS HEC Cu/Ar ATLAS FCal W/Ar CMS ECal Pb/WO4 LHCb EM Pb/Scinilator CALICE W/Scintilator ZEUS Pb/Scintlator

Page 4: Validation for LHC experiments

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Open points

resolution lateral shower shape non conservation of important quantities 

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LHCb request

validation of thin target observables relevant for trackers

multiplicity cross sections

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What should be done next?

Neutron interactions (even at low-E) are very important to study details of showers Only study so far to show clear effect in lateral shower shape In some cases (time structure) are mandatory to correctly describe data Preliminary results: Doppler broadening not needed (import CPU time saving) Need dedicated validation of neutrons on scintillators (recoil of H nuclei)

Adding of a cascade backend to string model (to de-excite nucleus) Hints that can make shower longer (FTF has discrepancy between TileCal and

CALICE) Improve agreement with data for resolution

A review/tune of π0 production from FTF could: Reduce visible energy (that is at the moment too high) Increase agreement for resolution

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Naive proposal

We have not yet studied in detail the role of Precompound/deexitation model for HEP experiments But we know it is very important and we need it. I would not be

surprised if in the future it will become an “hot” topic CALICE data show FTF_BIC is not so bad...

And we have thin-target data showing BIC is even the best model in some cases

A possible future “universal physics list for calorimetry” n:HP + BERP + p,n:BIC + FTF+BIC/BERP