Triggers
The triggers of interest are
-
HLT_Photon10_L1R
- L1 Seed:
hltL1sRelaxedSingleEgammaEt5
- Last Filter:
hltL1NonIsoHLTNonIsoSinglePhotonEt10HcalIsolFilter
-
HLT_Photon15_L1R
- L1 Seed:
hltL1sRelaxedSingleEgammaEt8
- Last Filter:
hltL1NonIsoHLTNonIsoSinglePhotonEt15HcalIsoFilter
-
HLT_Ele10_LW_L1R
- L1 Seed:
hltL1sRelaxedSingleEgammaEt5
- Last Filter:
hltL1NonIsoHLTNonIsoSingleElectronLWEt10PixelMatchFilter
-
HLT_Ele15_LW_L1R
- L1 Seed:
hltL1sRelaxedSingleEgammaEt8
- Last Filter:
hltL1NonIsoHLTNonIsoSingleElectronLWEt15PixelMatchFilter
Samples
Monte Carlo samples used in the study of electron trigger efficiencies are listed in Table 1.
More information about the sample is detailed
here.
Trigger Object Matching
To determine the trigger efficiencies, each PAT electron in the MC sample should be matched to an L1 seed or trigger event. This is done in the following way:
- L1 Seed matching criteria:
- < 0.522
- for < 1.4791, < 0.261. For > 1.4791, < 0.5
- HLT matching criteria:
- < 0.2
The L1 seed matching criteria are derived from Sam Harper's L1 seed matching code, which can be found
here. A simple
matching for the L1 seed runs into trouble in the endcap, where the x-y geometry means that the crystals are large in eta. A more sophisticated, but also more relaxed cut is required here.
ttbar Electron Cuts and Plots
The cuts used are:
- Tight Cut (Analysis cuts taken from here, excluding cut, and with eidRobustTight)
- > 1.0 GeV
- < 1.4442 or 1.5660 < < 2.4
- < 0.200 mm
- ComRelIso < 0.1
- eidRobustTight
The
plot overflow has been transferred to the last bin in the histogram.
All efficiency plots were generated by defining a
TGraphAsymmErrors
in ROOT, and calling the member function
BayesDivide()
. This function takes two histograms (one the numerator and the other the denominator) and computes the efficiencies, while assigning suitable asymmetric errors using Bayesian statistics. Information about the
TGraphAsymmErrors
class can be found
here, and a paper explaining the computation of the errors (which goes beyond normal binomial distribution errors) can be found
here.
Each efficiency plot is fitted with the following function:
In the plots below, p0 = A, p1 =
and p2 = s. p0 corresponds to the high
limit of the efficiency,
the midpoint of the slope, and s the gradient of the slope at
.
Transverse Momentum
-- Main.HongwanLiu - 23-Jun-2010