estimate of meta efficiency in nov02 aim: check of meta efficiency implemented in digitizers in...
DESCRIPTION
Method Nov gen4 dst’s -> “pdf ntuples” from PidTrackCandidate data - 20 M events (days ) UrQMD simulations - 30 M events selection of tracks: inner mdc segment 2 > -1, RK 2 > 1000, SplineAccepted=1, RKAccepted=1 3 types of tracks - 1) negative with mom>400 MeV/C „pi-“ 2) positive with mom>400 MeV/c „p“ 3) tracks matched to RICH „e“TRANSCRIPT
Estimate of META efficiency Estimate of META efficiency in NOV02in NOV02
Aim: check of META efficiency implemented in digitizers in order to get proper efficiency correction of yields
Needed: noise free sample of tracks from MDC spline tracks - only 66% match with TOF hit RK tracks - 90% match with TOF hit
Result: estimate of lower limit of META efficiency crosscheck needed
P. Tlustý Krakow, March 4, 2006
HistoryHistory Smolenice 2002TOF efficiency
no mag. field - all tracks
no tracking -
matching of inner and outer mdc segments by hand
Conclusion -
TOF efficiency as expected
MethodMethod Nov. 2002 gen4 dst’s -> “pdf ntuples” from PidTrackCandidate data - 20 M events (days 348-350)UrQMD simulations - 30 M events
selection of tracks:
• inner mdc segment 2 > -1, RK 2 > 1000, SplineAccepted=1, RKAccepted=1
• 3 types of tracks - 1) negative with mom>400 MeV/C „pi-“ 2) positive with mom>400 MeV/c „p“ 3) tracks matched to RICH „e“
MethodMethod efficiency calculated as ratio
NMETAmatched/Nall
in theta-momentum space
ResultsResults EXP data - yields vs theta
black - all tracks
red - matched with META
efficiency
ResultsResults EXP data - yields vs phi
black - all tracks
red - matched with META
efficiency
ResultsResults SIM data - yields vs theta
black - all tracks
red - matched with META
green - „good“ tracks
efficiency
ResultsResults SIM data - yields vs phi
black - all tracks
red - matched with META
green - „good“ tracks
efficiency
Results - Results - -- META efficiency vs theta
black - EXP
red - SIM
green - Shower eff (Jurek)
Results - Results - -- TOF efficiency in 50 < theta < 80 region
sector 0 0.893 ± 0.003sector 3 0.922 ± 0.004
SIM 0.967 ± 0.003
ConclusionsConclusions Negative tracks with reasonably high momenta can be used forsuch kind of study, we can get at least relative numbers of METAefficiency (sector comparison etc.).
Any absolute correction should be done carefully.
Results AUG04 - Results AUG04 - -- META efficiency vs theta
black - EXP
red - SIM
TOF efficiency
sector 0 0.930 ± 0.005 1 0.919 ± 0.004 3 0.920 ± 0.005 4 0.940 ± 0.005SIM 0.963 ± 0.005
NOV02 gen4 - negative tracks vs phi
much better than Nov02 gen3SYS 0
SYS 1
NOV02 gen4 - negative tracks vs theta
differences between sectors SEC 0
SEC 3
Hadron acceptance and Hadron acceptance and efficiency calculationefficiency calculation
November 2002 hadron analysis UrQMD simulations - 54 M events (gen4 dst) used
selection of particles: GeantKine id, parent_id=0
selection of tracks: PidTrackCandidate, id, correlation flag: mdc0,mdc1,meta
•RK tracks matched to META
• inner mdc segment 2 > -1, RK 2 > 1000, SplineAccepted=1, RKAccepted=1
• tracks with TOFINO paddle multiplicity =1
all particles written to tree, histogramms filled as the 2nd step for each sector independently
HADES acceptanceHADES acceptance acceptance calculated from SIM
data as ratio
Nrectracks/Nprimary
for p, +,- in theta vs momentum
Binning: theta 2 deg,
momentum 25 MeV/c
Range: theta 0-100 deg,
momentum 0-2000MeV/c
Corrected particle yieldsCorrected particle yields
),( ),(),( ),(
),(pEpA
pPpNpN identified
corr