News from Jet/Etmiss Monica. Jet/Etmiss meeting yesterday (25/5) at P&P week – Mostly review of conf notes for ICHEP10 – Good review to check where we.

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Presentation transcript:

News from Jet/Etmiss Monica

Jet/Etmiss meeting yesterday (25/5) at P&P week – Mostly review of conf notes for ICHEP10 – Good review to check where we stand on: Trigger Pile up studies Jet clean up, corrections, resolution and uncertainties Missing ET: definitions, corrections, uncertainties

“Physics” menu: – is called “Physics_pp_v1”: for pp run, v1 for version of L1-menu – to be used from ~1x10e30 to a few x10e32 Physics_lumi1E31(_simpleL1calib) +MC_lumi1E31(_simpleL1Calib) – only have simpleL1calib version now: L1Calo will remain on EM-scale for this year – also have 1E32 version – Note that currently there differences in L1 Data and MC The threshold for the physics menu (L1) are settled – HLT thresholds  use EM-scale at HLT; still old thresholds Jet items (+27 jet+X combined) implemented

Talk on Status and prospects for pile-up jet corrections (D.Miller,A. Schwartzman) Pile-up estimates for  *= 5 7 TeV Effects of Pile-Up on jets/etmiss: Jet energy scale (JES) and mass distortions Angular smearing Spurious jets (Pure MB jets will affect jet multiplicity and isolation criteria) Fake and poor MET MET defined from the hard scatter will be smeared: resolution degradation Can also incur fake sources of MET  Currently, some tools are avialable to deal with event-by-event corrections or jet-by-jet  Many things to be checked yet! See page 28 of David’s talk and also

Clean-up criteria “almost” frozen: – Jet rejected (bad) if one of these condition true  – Most analysis reject events with at least 1 bad jet – Defined also criteria for ugly jets: real energy deposition but TileGap3Frac > 0.5 || BCH_CORR_CELL > 0.5 – Ok in JetUtils (JetRecTools for BCH_CORR_CELL or in JetMomenta) Several Jet Calibration Schemes in ATLAS – Simple p T - and η-dependent calibration scheme (EM+JES) – Global Sequential calibration scheme (GS) – Global Cell-energy-density Weighting calibration scheme (GCW) – Local Cluster Weighting calibration scheme (LCW) All info about the recent recommendation for Jet can be found in:

Latest done/on going (Task Force): Current status: – MET_Topo (Topocells at EM scale): Good Data-MC agreement in MET and METx, Data excess at negative METy, disagreement in SumET – MET_LocHadTopo (Topocells with Local Hadron Calibration): Data-MC agreement only slightly modified by calibration. No tails created by calibration. – Same for MET_CorrTopo (Topocells with Global Calibration) – MET_RefFinal:  Topocells calibrated according to parent object (default now: proper electron calib, gamma at EM scale, the rest with global calibration) + cryo correction+muon contribution. Tails from muon term. – SumET data-MC discrepancy comes from MET_Cellout  Soft physics retuning needed in Pythia?

Note that MET_Topo must be recalculated in |eta| < 4.5:  Access info of the Regions. Since release the Foward Region has been set to 3.2 < |eta|< 4.5. This calculation can be applied to all MET objects of type MissingETCalo. So: ow_To_Calculate_MET_Topo_in_eta ow_To_Calculate_MET_Topo_in_eta – I tested it on one run … – Not big differences noticed on D3PD from MET Production => of April reprocessing (fixed one bug in the MET Regions):MET Production MET_Topo_etx (in |eta|< 4.5) = MET_Topo_etx_CentralReg ( |eta|< 1.5) + MET_Topo_etx_EndcapRegion (1.5 <|eta| < 3.2) + M ET_Topo_etx_ForwardReg (3.2 <|eta| < 4.5 )

Use EMJES scale for summer conferences: – A bug has been found which results in the EMJES being 0 for the leading jet in random events at the 0.01% level. This has been fixed in JetCalibTools JetCalibTools – [To be confirmed] Corrections not implemented for jet with P T emscale < P T min (=10 GeV)  return fixed value for P T min MET open issues (official to do list): – Resolution curve: better understand data-MC comparison – Need to converge on Muon-term (Muon-boy/Muon-ID) – MET scale uncertainty, How ? – Understanding of forward region in the context of MET reconstruction – Inclusion of cell weighting (global and local cell weights) – Consistent reconstruction of MET and jets – RefFinal with more physics objects RefFinal – Use of tracks to improve energy out-side physics objects (Cell-out) Note: Cleaning, MET object studies etc can be done within OSCAR – on ESD and soon AOD – or using D3PD (standalone codes)!