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PRETTY GOOD SIMULATION

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PRETTY GOOD SIMULATION ERNESTO MIGLIORE* Universit di Torino/INFN *Disclaimer: not a PGS expert c |---- pgs_next_event ... c | c |---- tauola ... – PowerPoint PPT presentation

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Title: PRETTY GOOD SIMULATION


1
PRETTY GOOD SIMULATION
  • ERNESTO MIGLIORE
  • Università di Torino/INFN
  • Disclaimer not a PGS expert

2
  • Fortran library (former SHW) by John Conway
    Higgs/SUSY Tevatron RUN II
  • http//www.physics.ucdavis.edu/conway/research/so
    ftware/pgs/pgs.html
  • native interafce to PYTHIA and ISAJET
  • interface to user events through STDHEP
  • Note hadrons to be supplied by the user
  • c ----gt pgs_next_event
  • ...
  • c
  • c ----gt tauola_scan
  • ...
  • c
  • c ----gt pgs_trigger
  • ...
  • c
  • c ----gt pgs_recon
  • ...
  • c
  • c ----gt pgs_user_analysis
  • c ---gt pgs_write_event

? decays polarization
Event loop
Detector Simulation
Output of selected events through STDHEP
interfaces to HBOOK routines
3
PROCESSING OF EVENTS
  • pgs_trigger
  • ---gt pgs_find_tracks make track list
  • ---gt pgs_fill_cal calorimeter energy array
  • ---gt pgs_find_clusters calorimeter energy
    clusters
  • ---gt pgs_find_TTT_trig
  • pgs_recon
  • ---gt pgs_find_RRR
  • From ISTHEP and PHEP
  • Smearing of pT, EEM and EHAD

Fixed size cone ?R
TTT ?/e, ?, ?, jet, MET
RRR ?/e, ?, ?, jet, b, c
  • Analysis of reconstructed objects on events
    selected on the basis of trigger objects

4
SIMULATION OF THE DETECTOR
  • main detector effects
  • pT smearing
  • EEM, EHAD smearing
  • Energy deposited in towers (granularity of HCAL)
  • Tag efficiency (?-ID, ?-tagging, b/c-tagging)
  • Detector parameters partly from cards partly
    hard-coded

5
LHC_DETECTOR_PARAMETERS
  • LHC ! parameter set name
  • 81 ! eta cells in calorimeter
  • 63 ! phi cells in calorimeter
  • 0.1 ! eta width of calorimeter
    cells
  • 0.099733101 ! phi width of calorimeter
    cells
  • 0.1 ! electromagnetic calorimeter
    resolution sqrt(E)
  • 0.8 ! hadronic calorimeter
    resolution sqrt(E)
  • 0.2 ! MET resolution
  • 0.00 ! calorimeter cell edge crack
    fraction
  • 3.0 ! calorimeter cluster finding
    seed threshold (GeV)
  • 0.5 ! calorimeter cluster finding
    shoulder threshold (GeV)
  • 0.70 ! calorimeter cluster finder
    cone size (delta R)
  • 1.0 ! outer radius of tracker (m)
  • 2.0 ! magnetic field (T)
  • 0.000005 ! sagitta resolution (m)
  • 0.98 ! track finding efficiency
  • 0.30 ! minimum track pt (GeV/c)
  • 2.0 ! tracking eta coverage

Calorimeter?HCAL
5 ?m? ?pT/pT4x10-5 pT (GeV)
6
CALORIMETRY
  • Hard-coded
  • single pion energy
  • 100 HAD 50 times
  • 25 EM 75 HAD 50 times
  • EM cluster definition EHAD/EEMlt12.5

(?0) CDF ATLAS CMS
EM PbSci PbLAr PbWO4
EM 19 X0 24 X0 26 X0
EM 1 ?I 1.2 ?I 1.1 ?I
HAD FeSci FeSci CuSci
HAD 4.5 ?I 7.2 ?I 5 ?I
7
b-TAGGING
Track counting (N3)
?q jet q tagged as b / jets q
Hard-coded
CMS
PGS
LHCO
?0
v3.3
C.Weiser FNAL 18Jan06
uds gluons c
eff(b)50
8
SIMULATION OF THE DETECTOR
  • main detector effects
  • pT smearing
  • EEM, EHAD smearing
  • Energy deposited in towers (granularity of HCAL)
  • Tag efficiency (?-ID, ?-tagging, b/c-tagging)
  • Detector parameters partly from cards partly
    hard-coded
  • Not included
  • B deflection of charged tracks (effects on the
    jet broadness)
  • pile-up (relevant for high luminosity analyses)
  • underlying event (depending on the MC)
  • background processes

9
OUTLOOK/DISCUSSION
  • PGS validation/tuning
  • vs. ATLAS and CMS fast simulation?
  • vs. ATLAS and CMS full simulation?
  • atlas.par, cms.par, lhcdet.par?
  • Which observable in which process (which MC)?
  • m(ll) in Z (jets)
  • MET in W (jets) or tt
  • (isolated ?)
  • Size of the cross-section you want to investigate
    (nb/pb/fb)
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