some investigations on shower in aug11 dst
DESCRIPTION
Some investigations on Shower in Aug11 DST. Szymon Harabasz. Version: 19 September 2014. PID plot. mass. Pre – RPC correlations. All RPC clusters to all Pre hits in event. Closest RPC clusters matched with all tracks to all Pre hits in event. Selct only bottom parts of both detectors. - PowerPoint PPT PresentationTRANSCRIPT
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Some investigations on Shower in Aug11 DST
Szymon Harabasz
Version:21 April 2023
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PID plot
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mass
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Pre – RPC correlations
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All RPC clusters to all Pre hits in event
Closest RPC clusters matched with all tracks to all Pre hits in event
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Selct only bottom parts of both detectors
Correlation fairly better!
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All RPC clusters to all Pre hits in event
Closest RPC clusters matched with all tracks to all Pre hits in event
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Row-Col for Shower hits best matched with particle candidates
Positive particles Negative particles
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ϴcand vs. Shower hit rowAug 11
Positive particles Negative particles
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All particles Negative particles
ϴcand vs. Shower hit rowNov 10
Why previously there was no problem to calculate efficiency in bottom rows?
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Sum0 vs. momentum
Negative pions Protons
π- Protons11
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Sum1 vs. momentum
Protons
Protonsπ-12
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Sum2 vs. momentum
Protons
Protonsπ-13
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Sum1-Sum0 vs. Momentumsector 1
Protonsπ-
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Sum2-Sum0 vs. Momentumsector 1
Protonsπ-
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Mean Sum0 - protons
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Mean Sum1 - protons
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Mean Sum2 - protons
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Mean Sum0 – π-
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Mean Sum1 – π-
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Mean Sum2 – π-
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Shower alignment not perfect?
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Shower alignment not perfect?
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Shower alignment not perfect?
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p vs. θRPC - experiment
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Simulation of π-
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π- simulation – without tracking
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Without tracking I cannot identify pios in experiment
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π- with tracking
28 Tracks matched with RPC Tracks matched with Shower
Expe
rimen
tSi
mul
ation
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π- simulation – with tracking
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Expe
rimen
tSi
mul
ation
Tracks matched with (correlated) RPC and Shower
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π-
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Experiment
Simulation with tracking
Simulation without tracking
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π- - simulation
31 With tracking Without tracking
Trac
ks m
atch
ed
with
Sho
wer
Trac
ks m
atch
ed w
ith
(cor
rela
ted)
Sho
wer
and
RPC
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Digitization
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EffPre(β)
All particlesNegative particles
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EffPost I(β)
All particlesNegative particles
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EffPre(position)
Negative particles All particles
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EffPost I(position)
Negative particles All particles
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Pile up estimation
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• Take all the tracks in the event
• Match HShowerHit to each of them (find the one with the best matching quality
• Count other hits in the distance of two cells from the matched one
• Put row and column to a histogram
• Divide by hits distribution to get probability
Pre Post II
Post I
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Looking for leptons
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First attempt• Read data from all HparticleCands, write it to ntuple, apply
conditions when drawing histograms with Draw method• Meta matching quality < 4• Average charge > 70• Inner segment chi2 > 0• RK chi2 < 1000• Graphical cut:
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System 0, p < 150 MeV/c
System 0, p < 150 MeV/c
System 1, 200 < p < 300 MeV/c
System 1, 200 < p < 300 MeV/c
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Next attempts• Second:
• The same conditions as in the first attempt plus
• kIsUsed flag• Third:
• The same conditions as in the first attempt plus flags:
• kIsAcceptedHitRICHMDC • kIsAcceptedHitInnerMDC • kIsAcceptedHitOuterMDC • kIsAcceptedRKMETA
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∆θ RICH – Track, System 0
All histograms in one figure scaled to (almost) common maximum value44
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∆θ RICH – Track, System 1
45 All histograms in one figure scaled to (almost) common maximum value
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Second attempt
Third attempt
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Fourth attempt
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Read data from all HparticleCands, write it to ntuple, apply conditions when drawing histograms with Draw method
Meta matching quality < 4Average charge > 70Inner segment chi2 > 0RK chi2 < 1000β > 0.9
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Fourth attempt
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Fourth attempt – positive particles
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Fourth attempt – negative particles
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Fourth attemptScaled to common max value(on both plots separately)
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Fourth attemptScaled to common max value(on both plots separately)
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Fourth attempt
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Shower response on leptons
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Shower response on leptons - algorithm
61
Fit: quadratic + gaussian
Quadratic part - background
These counts are taken - signal
These counts are omitted - background
Here we say, there is zero signal counts
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Criterion: center of gaussian distribution is > 2 (or < -2)
Repairing such bins:Linear interpolation
between closest good bins on the left and right
In some sumdiff bins this does not work
Full fit
Gaussian part
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Shower response on leptons
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Shower response on leptons
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Shower response on leptons
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Shower response on leptons
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Backup slides
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Sideband method in sumdiff bins
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Sum0, Sum2 > 0
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Post I efficiency
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Sum0, Sum1, Sum2 > 0
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Sum0, Sum1 > 0 and RPC cluster exists
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Sum1 > 0 and RPC cluster exists
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Pre efficiency
Sum0 is always > 0
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Shower Hit Row-Col – cands matched with Pre and correlated with Post I
All particles Negative particles
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Theta for all and negative particle candidates
All particles Negative particles
Here all tracks matched with Shower are considered
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Phi for all and negative particle cands
Here tracks matched with Shower and RPC at the same time are considered
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Sum0 & Sum1 vs. beta
Protons
Protonsπ-78
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Shower alignment not perfect?
Pre to Track matching qualityas a function of a position onthe detector
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Sideband method
80
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Sideband method
81
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Sideband method
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Sideband method
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Sideband method
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Everything After sideband background subtraction
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Sideband method
85
Everything After sideband background subtraction
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Sideband method
86
Everything After sideband background subtraction
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Sideband method
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Everything After sideband background subtraction
Oops…
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Sideband method
88
Everything After sideband background subtraction
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Sideband method
89
Everything After sideband background subtraction
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Sideband method
90
Everything After sideband background subtraction
Something is wrong in some sumdiff bins.Let’s check it.
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Sideband method in sumdiff bins
91
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Sideband method in sumdiff bins
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Sideband method in sumdiff bins
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Sideband method in sumdiff bins
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Shower response on leptons?
95