Blessed plots for the b and c content of inclusive jets analysis
In this analysis we attempt to measure the bottom and charm-jet fractions in
the Run 1A Inclusive jet 20 and jet 50 samples. We have used the SVX b tagging
algorithm (JETVTX) to identify(TAG) a sample of jets with displaced vertices.
By fitting the observed lifetime distribution in data to a sample of tagged
jets from Monte Carlo, we can measure the fraction of jets that contain at
least 1 bottom or charm quark.
ctau_j3q1_jc_update_bless.ps---The observed lifetime(ctau)
distribution for jets containing secondary vertices(tag) in the 50 GeV jet
Et trigger(jet_50) data(points) fit to the Herwig Monte Carlo bottom, charm,
and background jet ctau distributions(histogram).
ctau_j3q1_jc_update_mc_bless.ps--Ctau distributions for Herwig Monte
Carlo b, c, and background tagged jets. Areas are normalized to the value
returned by the fit.
ctau_j4q1_jc_update_bless.ps--Ctau distribution for tagged jets in
20 GeV jet Et trigger(jet_20) data(points) fit to the Herwig Monte Carlo b,
c, and background jet ctau distributions(histogram).
ctau_j3q1_jc_dbl_tag_update_bless.ps--Ctau distribution for tagged
jets from double tagged events(2 different jets separately tagged in same
event) in jet_50 data and Herwig b Monte Carlo(normalized to data).
dphi_pict_jc_update_mc_bless.ps--The 2 dimensional opening angle
(dphi) between the two tagged jets in double tagged Herwig Monte Carlo
b-bbar events separated by heavy flavour production mode(this is determined
with the 2 --> 2 matrix elements in Herwig at generator level).
fb_fc_hist_gen_update_data_bless.ps--The fraction of all jets in the
jet_20 and jet_50 inclusive jet data samples that contain at least 1
bottom-quark(circular points) or 1 charm-quark (triangular points) as a
function of jet Et(corrected) using the ctau fit method. points depicting
the fit-independent measurements of the b-content in jets done with double
tagged events in jet_20 (open cross) and jet_50(open star) data are plotted
at the mean jet Et of the respective samples.
fb_fc_hist_gen_update_mc_color_bless.ps--The fraction of all jets in
the Herwig Monte Carlo that contain at least 1 b-quark lower(blue) contour or 1
c-quark upper(red) contour as a function of jet Et(corrected).
jdstar_plot_jc_update_bless.ps--The (Kpipi - Kpi) mass
difference(delta m) for fully reconstructed D*+- candidates in the jet_20
inclusive jet sample. In the upper plot, the solid histogram is the
distribution for D*+- meson candidates, and the dashed histogram is
background taken from the sideband region of the Kpi(D0) mass distribution.
In the lower plot, the points are the D*+- meson candidates, and the solid
line is the fit.
The Tagging Efficiency Scale Factor
The following plots describe the scale factor that takes into account
the differences in the secondary vertex tagging efficiencies between
data and Monte Carlo simulation.
sf_j3q1_tgbl.ps---The upper plot shows a comparison of the data
and HERWIG MC taggable rate in the jet_50 sample as a function of Et. The
lower plot is the corresponding data/MC scale factor.
sf_j4q1_tgbl.ps---The upper plot shows a comparison of the data
and HERWIG MC taggable rate in the jet_20 sample as a function of Et. The
lower plot is the corresponding data/MC scale factor.
sf_ice_data_mc_tag.ps---The tagging efficiency as a function of
jet Et. A comparison of the two tagging methods for the inclusive electron data
are shown in the upper plot. The lower plot shows the two methods in
the b-->eX HERWIG Monte Carlo.
sf_tag_cor.ps---Scale factor calculated with weighted averages of
the two tagging methods as a function of jet Et. In the upper plot, the
weighted average of the two tagging efficiencies in data(open points) is
compared with Monte Carlo(solid points). The lower plot shows the scale
factor. The solid line is the resultant constant fit, and the 2 dashed
lines are the $\pm 1\sigma$ uncertainty in the fit.
sf_ice_shape.ps---Comparison of tagged electron-jet variables.
Data(solid points) and Monte Carlo(histograms) are normalized to unit area.
sf_fbc_et_sys_her.ps---Fraction of b and c jets as a function of Et
after the tagging efficiencies are corrected with the scale factor.
The data(points) are compared with gen-level HERWIG
predictions for b(lower contour) and c(upper contour).
The open(solid) points indicate the jet_50(jet_20) data.
Also plotted are the b jet fractions as measured with
double-tagged events. Errors on data points are correlated.
The inner error bars are the statistical uncertainty, the
outer error bars are the statistical and the systematic
uncertainties added in quadrature.
sf_fbc_et_sys_pyt.ps---Same as above but comparison is made with
Pythia generator-level Monte Carlo.