JiEun Hong HakSeong Lee JongHo Lee ChangSeong Moon Kyungpook National UniversityKNU 13 02 2018 Introduction Review th e motivation of the track isolation and parameters with schematic plots ID: 799580
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Slide1
Track Isolation in L1 Pixel Detector
Ji-Eun Hong, Hak-Seong Lee,
Jong-Ho Lee
, Chang-Seong Moon
Kyungpook National University(KNU)
13. 02. 2018.
Slide2Introduction
Review th
e motivation
of the track isolation and parameters with schematic plots.
Describe briefly about the software environment
Discuss the results from
the light
jet
sample
(NOPU)
when applying the track isolation algorithm same as
the single
electron
sample
(NOPU)
.
Slide3Semi-leptonic decay from jet
Outer cone
Inner veto cone
pileup Interaction
Electron signal
Reminder: Motivation for track isolation
Outer cone
Inner veto cone
pileup Interaction
electron
electron
Slide4Semi-leptonic decay from jet
Outer cone
Inner veto cone
Electron signal
Outer cone
Inner veto cone
electron
electron
After
cut applied
Slide5Light jet sample from CMSSW6Z boson decays into up, down, strange quark
Software environment
Slide61
st
layer
2
nd
layer
①
②
Z-axis
electron
What
is the
cut ?
Remove the pixel hit signals from pile up interactions.
pileup Interaction
Slide7The
distribution of pixel clusters in
Slide8The
distribution of pixel clusters in
Slide9The
distribution of pixel clusters in
Slide101
st
2
nd
3
rd
4
th
①
②
Why
we have to introduce
cut
cut is not enough to construct pixel segments from same signal.
Incidentally blue hit from pile up interaction satisfies
cut,
segment
② also counts in track isolation algorithm.
However when
cut applied to the algorithm, this method have strict condition to get rid of hits from the pile
up vertex.
Slide11The
distribution of pixel clusters in layer
Slide12The
distribution of pixel clusters in layer
Slide13The
distribution of pixel clusters in layer
Slide14Comparison of the number of pixel clusters of different pixel layer combination
Slide15Divide the cases with two parameters
Slide16The number of pixel clusters based
on
one pixel
layer
combination
Slide17Divide the cases with three parameters
Slide18The number of pixel clusters based
on pixel
two or three layer combinations
Slide19Comparison the number of pixel clusters distributions with single
electron and light jet
Slide20Efficiency results of each case
ratio of events when pixel clusters are less than 2 in single electron: 95.9%
ratio of events when pixel clusters are
more
than 2
in light jet: 47.3%
ratio of events when pixel clusters are less than 2 in single electron: 95.9%
ratio of events when pixel clusters are more than 2 in light jet:
44.6%
(Best case)
ratio of events when pixel clusters are less than 2 in single electron:
95.8%
ratio of events when pixel clusters are more than 2 in light jet:
85.1%
ratio of events when pixel clusters are less than 2 in single electron: 95.9%
ratio of events when pixel clusters are more than 2 in light jet:
79.7%
Slide21To do list
Optimize the cut using parameter scans of
and
.
2.
Apply the track isolation algorithm into the
PiXTRK
algorithm.