Artur Apresyan California Institute of Technology Saeid Paktinat School of Particles and accelerators IPM Introduction R45 T4 T5T4 T5 T4 and T5 are in GeV Number of the ID: 798632
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Slide1
HBHENoieFilter performance in High Pile up and 25 ns Runs
Artur
Apresyan
California Institute of Technology
Saeid
Paktinat
School of Particles and accelerators, IPM
Slide2Introduction
R45 = (T4 – T5)/(T4 + T5) T4 and T5 are in GeV.Number
of the
vertices
is used as the PU measure.GoodPrimaryVertexFilter is applied.HBHENoiseFilter is NOT applied to study the Individual entries of the filter.
18-Nov-11
2
Slide3Data
Datasets:/MinimumBias/Run2011A-PromptReco-v5/RECO
/ZeroBiasHPF0/Run2011B-PromptReco-v1/RECO
(High Pile up
)/L1MuHPF/Run2011B-PromptReco-v1/RECO (High Pile up)/ZeroBias/Run2011B-14Oct2011-v1/RECO (25 ns)/L1Mu/Run2011B-14Oct2011-v1/RECO (25ns)
Json file 23 Sep for MinimumBias
Sample
onlyCert_160404-176309_7TeV_PromptReco_Collisions11_JSON.txt
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3
Slide4Number of Vertices in different Runs
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4
Nevents
:
MinumBias
1.6 M
High Pile Up 3.7 M
25 ns 830 k
Slide518-Nov-11
5
Individual entries for
HBHEFilter
RBXHits
(
nHits
(E>1.5GeV) in a RBX)
No cut in the current version of the filter
Same feature is seen in low pile up events
Slide6Individual entries for HBHEFilter
HPD Hits (nHits (E>1.5GeV) in a HPD)
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6
Different
Behaviours
Slide7Individual entries for HBHEFilter
Total Zeros (nChannels with zero energy in a RBX)
HPD
No other Hits
(nHits found in a HPD with no other hits in RBX) 18-Nov-11
7
Almost the same distributions
Slide8Individual entries for HBHEFilter
Has Bad RBX TS4 TS5
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8
Significant difference is seen in different datasets, specially for 25ns sample.
11150 out of 830K events
rejeted
Slide9Individual entries for HBHEFilter
Has Bad RBX TS4 TS518-Nov-11
9
Same feature is seen in other
datasets.
To do:
Revisit the R45 cuts to adjust the efficiency.
22000 out of 1.3M events
rejeted
Slide10Jet ET vs Had Fraction in different samples for events that pass or fail the filter
18-Nov-11
10
Had Fraction
is ~1
MinimumBias
2011A
ZeroBias
High Pile up
ZeroBias
25 ns
Slide11Jet ET vs EM energy in different samples for events that pass or fail the filter
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11
EM energy is very small
MinimumBias
2011A
ZeroBias
High Pile up
ZeroBias
25 ns
Slide12Suspicious events not flagged as noise
DelatPhi
between the leading jet and the met vector is more pronounced close to 3.14 for the noise.
Some “No noise” events in this region are scanned.
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Slide13Met Distribution
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13
Even a moderate cut on Met can kill most of the noisy events.
Slide14Suspicious event in High pile up dataset
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14
Fully
hadronic
jet back to back with met!
Slide15Suspicious event in 25ns dataset
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15
Fully
hadronic
jet back to back with met!
Slide16Coclusion & outlook
The treatment of the individual components of the HBHENoiseFilter are studied in different regimes of pile up.
Some components are highly affected by new conditions.
They will be revisited to adjust the filter efficiency.
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Slide17Back up
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Slide1818-Nov-11
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Slide1918-Nov-11
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Slide2018-Nov-11
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