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Searching for Higgs decays to four bottom quarks at LHCb
Directeur du travail: Prof. Aurelio BayExpert externe: Victor Coco
Julien Rouvinet
1
Overview
Theoretical overview of
LHCb experiment
Study of the signature
Statistical analysis
Conclusion
h0 ! aa ! bb̄bb̄
h0 ! aa ! bb̄bb̄
2
Motivation for this work
This master thesis is inspired by a recent paper from David E. Kaplan and Matthew McEvoy*.
Why at LHCb? Because of the (muon) trigger and the excellent tracking and vertexing in the forward region
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* Searching for Higgs decays to four bottom quarks at LHCb, arXiv:hep-ph/09091521 v1, 8 September 2009
Higgs to four b’s decay
Models like NMSSM, Higgs composite and little Higgs contain a light neutral pseudo scalar particle
If its mass is about half the Higgs mass
➡Dominant Higgs decay: h0 → aa
To mimic the different models we introduce the coupling: 1
2!a
2H
†H
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Higgs to four b’s decay
The mass of the particle a is given by:
where is the Higgs vacuum expectation value
The decay rate is then:
It dominates the Higgs (ex. SM 115 GeV) decay if the coupling is:
!(h ! aa) "1
32!
"2v2
mh
!
1 #
4m2a
m2
h
m2
a=
1
2!v
2
v ! 246 [GeV]
! > 0.255
LHCb Experiment
Context: LHC and LHCb experiment
Acceptance:
L0 trigger: among other things, a muon with:
15 < ! < 300 mrad
Pt > 1.1 GeV
VELO: Vertex Locator → Displaced verticesM1-M5: Muons detectors
6
QCD Backgrounds
Irreducible
contribution: Probability of proper b recognition is about 70% and the probability to confuse a b with a c is about 30% *
Also a contribution because t decays mostly in b. The production cross section of this background is small (3.78 [pb] from Alpgen)
bb̄bb̄
bb̄cc̄
bb̄tt̄
7* AURELIO BAY and CEDRIC POTTERAT, A b jet "seed" finder, LHCb-INT-2009-023 V. 1, 10 2009
Signal events generation
Pythia 6.325 for production, hadronization and decay of the events
Energy in the center of mass frame:
We set and to one
10‘000 signal events produced through gluons fusion
!
s = 14 TeV
!h0 pbarn ! 5.9 · 105
!bb 2.45 · 108 pbarn ! 1.5 · 1012
!ZW 4.33 · 106 pbarn ! 2.7 · 1010
!tt 2.75 · 103 pbarn ! 1.7 · 107
q q
V!
h0
V!
q q
VV
g q
h0
g q
b/t
g q
qh0
g q
gg
q q
h0
q q
b/t
q
q
V
h0
V!
q
h0
q
q q
!h0
!Ldt " 6.3 · 103 pbarn!1
h0 ! "̃0"̃0 ! 6
Nevts =
"LLHCb · !h0 · (h0 ! "̃0"̃0) · ("̃0 ! bqiqj)
2dt
(h0 ! "̃0"̃0) " 0.7 # 0.9 ("̃0 ! bqiqj) " 0.7 # 0.8
Nevnts " 200"000 #340"000
Z0
(Z0 ! "̃0"̃0) Z0
BR(h0 ! aa) BR(a ! bb̄)
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Signal events generation (2)
Masses: mh=115 [GeV/c2], ma=20 [GeV/c2]
We have also used mh=125 [GeV/c2], ma=35 [GeV/c2] for comparison
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NEW NEW
Background events generation
Generator: Alpgen v2.13
Energy in the center of mass:
700’000 and 500’000 have been generated
!
s = 14 TeV
bb̄bb̄ bb̄cc̄
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b quarks analysis (1)
b quarks hadronize into jets reconstructed with the cone algorithm:
Particles falling inside a cone of aperture ΔR in (η, ϕ) space are gathered.
where and
!Rij =!
(!i ! !j)2 + ("i ! "j)2 ! = !ln(tan("/2))
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b quarks analysis (2)
Only events with four b’s in the acceptance are considered
These four b’s are all signal ones or of one background type (simplest case)
12
Kinematics: b quarks
To reconstruct jets, a radius Rcone= 0.6 is chosen
Two jets overlap if :
!R(b1, b2) < 2 · Rcone = 1.2
• Signal• bbbb• bbcc
➡ some jets are
overlapping
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Jets reconstruction
Cone algorithm: b quark as seed
We combine the jets onto pairs to get an a candidate
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Jets combinations
Three possibilities of jets combinations
Criteria: we minimize ΔR
For mh= 115 [GeV/c2] and ma= 20 [GeV/c2]: 99% of correct combinations
Only 75 % for mh= 125 and ma= 35 [GeV/c2]
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Jets combinations
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Jets combinations
Anti-correlation more pronounced for the signal
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a
a are well separated in ∆R
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Cuts on Pt
Cuts on Pt:
Pt(j1) + Pt(j2) < 60 GeV c!1
Pt(j3) + Pt(j4) > 20 GeV c!1
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• Signal• bbbb
Cut on ma
Mass cuts: 13 < ma < 25 [GeV/c2]
• Signal• bbbb• bbcc
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ma and cuts
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•Signal• bbbb• bbcc
Higgs’ reconstruction
Combination of the two a candidates
Smaller mass because of the loss of neutrini along with particles produced out of the acceptance, or lying outside the cone used for jets reconstructions
• Signal• bbbb• bbcc
22
ProcessCross
sectionσ [pb]
% in
accept.
Total number of events after one
LHCb year
Prob. of 4b recognition
εb
Number passing the
cuts×εb
Higgs production 94 4.5 8.46 .103 (0.7)4 1.13 . 103
bbbb background 19661.5 2.2 8.65 . 105 (0.7)4 3.35 . 104
bbcc background 52053.3 2.2 2.34 . 106 (0.7)2 . (0.3)2 2.2 . 104
bbtt background 3.78 0.55 41.8 (0.7)4 6.2 . 10-2
Number of events per year:mh=115 [GeV], ma=20 [GeV]
23
Number of events per year:mh=125 [GeV], ma=35 [GeV]
ProcessCross
sectionσ [pb]
% in
accept.
Total number of events after one
LHCb year
Prob. of 4b recognition
εb
Number passing the
cuts×εb
Higgs production 20 3.72 1.49 .103 (0.7)4 1.83 . 102
bbbb background 19661.5 2.2 8.65 . 105 (0.7)4 2.31 . 104
bbcc background 52053.3 2.2 2.34 . 106 (0.7)2 . (0.3)2 1.18 . 104
24
Muons trigger only
Taking advantage of the muon trigger
BR of B-hadrons to muons is about 11% (verified in our simulation)
Events saved if a muon is produced with Pt>1.1 [GeV/c]
44% of signal events and 35% of background events
25
Toy Monte Carlo
Testing the sensibility of our analysis to the variation of the number of signal events
Simulate 100 «LHCb experiments» with N signal events (+statistical variations) but with a fixed average background (+ statistical variations)
mh is fixed, the shape of the background is supposed known
26
Toy Monte Carlo:mh=115 [GeV], ma=20 [GeV]
0
2000
4000
6000
8000
10000
12000
14000
16000
0 40 80 120 160 200Mass GeV/c2
N/2
0 G
eV/c
2
0
1
2
3
4
5
6
7
8
-800-600-400-200 0 200 400 600 800
MeanRMS
-15.03 171.6
Number of Events27
Toy Monte Carlo:mh=115 [GeV], ma=20 [GeV]
0255075
100125150175200
0 500 1000 1500 2000 2500 3000N of Events
N
02468
10121416
0 500 1000 1500 2000 2500 3000N of Events
N/
N
28
With NMSSM: about 5σ for one
LHCb year
Toy Monte Carlo:mh=125 [GeV], ma=35 [GeV]
050
100150200250300
0 250 500 750 1000 1250 1500 1750 2000N of Events
N
01234567
0 250 500 750 1000 1250 1500 1750 2000N of Events
N/
N
29
20 [pb] Higgs production: less than 1σ for one
LHCb year
Conclusion
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There seems to be a possibility worth to investigate to detect Higgs bosons at LHCb
The significance strongly depends on masses: a scan of different Higgs and a masses has to be made
Next step: Full simulation and incorporation of more complicated backgrounds
Back up slide: Smearing
Smoothing of the curves
Safe-side because we loose characteristics that could have been useful for discrimination
We assume the gain of one order of magnitude in statistics
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