SlideShare a Scribd company logo
1 of 19
Download to read offline
VariableR Reclustering
in Multiple Top Quark
Events
Jeremy Hyde
1
Outline
•  Introduction
•  LHC and ATLAS Detector
•  Jets
•  Boosted Objects
•  Reclustering
•  VariableR vs Fixed
•  Top Quark Reconstruction
•  W Boson Reconstruction
•  Comparison
2
Absract
VariableR jet reclustering is an innovative technique that allows for
the reconstruction of boosted object over a wide range of
kinematic regimes. Such capability enables the efficient
identification of events with multiple boosted top quarks which is
a typical signature for new physics processes such as the
production of the supersymmetric partner of the gluon. In order to
evaluate the performance of the algorithm, the VariableR
reclustered jets are compared with fixed radius reclustered jets.
The flexibility of the algorithm is tested by reconstructing both
boosted top quarks and boosted W bosons. The VariableR
reclustering method is found to be more efficient than the fixed
radius algorithm at identifying top quarks and W bosons in events
with four top quarks, therefore enhancing the sensitivity for gluino
searches.
3
Introduction
•  Looking at multiple top quark events in order to study new physics such as super
symmetry
•  In particular the top quarks decay into a W boson and bottom quark
•  Gluinos can be very massive so their decay produces can be very energetic
•  Key for signal discrimination is efficient reconstruction of top (or W)
multiplicity.
W+
t
b
4
LHC and ATLAS Detector
5
6
Jets
•  What are jets?
•  Jets are a cone of hadrons which are a produced by a quark or
gluon hadronizing multiple times before it reaches the detector
6
Jets
•  What are jets?
•  Jets are a cone of hadrons which are a produced by a quark or
gluon hadronizing multiple times before it reaches the detector
7
Incoming quark
hadronization
Jet
88
Jets
•  What are jets?
•  Jets are a cone of hadrons which are a produced by a quark or
gluon decaying multiple times before it reaches the detector
8
9
Jets
•  What are jets?
•  Jets are a cone of hadrons which are a produced by a quark or
gluon decaying multiple times before it reaches the detector
9
Jets leave energy deposits on the ATLAS calorimeters
They are reclustered with 0.4 radii in the η- ϕ space
Boosted Objects
10
•  When a top quark is highly boosted its decay products will be
collimated
•  The radius of the cone produced (jet) depends on the the PT
of the top quark (R = 2M/PT)
Reclustering
Jet reclustering allows jets to be calibrated at a small radius
r, and then used as inputs for reconstructing larger jets of
radius R
11
http://arxiv.org/pdf/1407.2922v2.pdf
Rapidity
-2 0 2
=1.5 TeVZ'
, mtt→8 TeV PYTHIA Z'
Stable Truth Particles
R=1.0 Jetst
nti-k
Rapidity
-2 0 2
AzimuthalAngle[rad]
-2
0
2
Inside R=0.3 Jets
Stable Truth Particles
R=1.0, r=0.3 Jetst
anti-k
example event which has been clustered using the anti-kt R = 1.0 (left) and with
re-clustered r = 0.3 anti-kt jets (right). The shaded regions show the jet area
Energy Deposit
Jets
Reclustered Jets
VariableR vs Fixed
Fixed Reclustering: uses jets of r = 0.4 to reconstruct
jets of R = 1.0
Variable Reclustering: uses a range from Rmin = 0.4 to
Rmax = 1.5 to reconstruct jets
12
•  VariableR Allows us to reconstruct
jets of various kinematic regimes
•  R=2M/PT define typical scale for
the jets which is given by:
•  ρT = 2*173.5 ρW = 2* 80.4
http://arxiv.org/abs/0903.0392
13
VariableR vs Fixed
Fixed Reclustering: uses jets of r = 0.4 to reconstruct
jets of R = 1.0
Variable Reclustering: uses a range from Rmin = 0.4 to
Rmax = 1.5 to reconstruct jets
13
•  VariableR Allows us to reconstruct
jets of various kinematic regimes
•  R=2M/PT define typical scale for
the jets which is given by:
•  ρT = 2*173.5 ρW = 2* 80.4
http://arxiv.org/abs/0903.0392
Boosted Top Reconstruction
14
Eta
-4 -3 -2 -1 0 1 2 3 4
Phi
0
1
2
3
4
5
6
148.967
160.003
198.717
192.775
148.967
160.003
198.717
192.775
148.967
160.003
198.717
192.775
148.967
160.003
198.717
192.775
148.967
160.003
429.638
148.967
160.003
429.638
148.967
160.003
429.638
Plot of Jets
Mass (GeV)
0 50 100 150 200 250 300 350 400 450 500
#ofEvents
0
200
400
600
800
1000
> 300 GeV
T
); P
T
=MρVR(
> 300 GeVT
R = 1.0; P
Mass (GeV)
0 50 100150 200250300350400 450500
#ofEvents
0
50
100
150
200
250
300
> 200 GeV
T
); P
T
=MρVR(
> 200 GeVT
R = 1.0; P
Mass distribution for
highest PT top quark
candidate
Mass distribution for
fourth highest PT top
quark candidate
VR constituent
Fixed constituent
VR
Fixed
Significance
Mass (GeV)
0 50 100150200250300350400450500
NumberofReclusteredJets
0
200
400
600
800
1000
Variable
Fixed
Mass (GeV)
0 50 100150200250300350400450500
NumberofReclusteredJets
0
500
1000
1500
2000
2500
3000
3500
4000
4500
Variable
Fixed
Variable
Fixed
Variable
Fixed
Variable
Fixed
Variable
Fixed
Variable
Fixed
Variable
Fixed
L= 5 fb-1
15
The VariableR algorithm is more efficient at
reconstructing multiple jets and so allows us to
discriminate against low top quark candidate
multiplicity
Mimimum Number of Reclustered Jets
-0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
Significance
0
0.0005
0.001
0.0015
0.002
0.0025
0.003
0.0035
0.004
# of T for VR
# of T for R = 1.0
Mass distribution
for highest PT top
quark candidate
Mass distribution
for fourth highest
PT top quark
candidate
Boosted W Reconstruction
Mass (GeV)
0 50 100150200250300350400450500
NumberofReclusteredJets
0
1000
2000
3000
4000
5000
6000
Variable
Fixed
16
Eta
-4 -3 -2 -1 0 1 2 3 4
Phi
0
1
2
3
4
5
6
90.8888
70.772
52.7264
90.8888
70.772
52.7264
90.8888
70.772
52.7264
179.594
70.772
52.7264
179.594
70.772
52.7264
179.594
70.772
52.7264
Plot of Jets
VariableR can
reconstruct W bosons
in various regimes
VR constituent
Fixed constituent
VR
Fixed
Mass distribution for highest PT
top quark candidate
Significance Comparison
17
Mimimum Number of Reclustered Jets
-0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5
Significance
0.0005
0.001
0.0015
0.002
0.0025
0.003
0.0035
# of T for VR
# of W for VR
# of T for R = 1.0
# of W for R = 1.0
Conclusions and Next Steps
•  I learned about reconstructing boosted top quarks and W bosons in the hadronic final
state
•  Studied the application of a new algorithm (VariableR reclustering) for identification
of new physic processes
•  This technique will be implemented in the super-symmetry search for gluino mediated
stop pair production
18
Acknowledgements
19
•  Francesco Rubbo
•  Ariel Schwartzman
•  Ben Nachman
•  Su Dong
•  Fastjet.fr
•  stackoverflow
•  SULI, DOE, ATLAS and SLAC

More Related Content

What's hot

Fermi lat observations_of_the_gamma_ray_burst_grb_130427a
Fermi lat observations_of_the_gamma_ray_burst_grb_130427aFermi lat observations_of_the_gamma_ray_burst_grb_130427a
Fermi lat observations_of_the_gamma_ray_burst_grb_130427aSérgio Sacani
 
Photoionization Modeling of Warm Absorbing Outflows in Active Galactic Nuclei
Photoionization Modeling of Warm Absorbing Outflows in Active Galactic NucleiPhotoionization Modeling of Warm Absorbing Outflows in Active Galactic Nuclei
Photoionization Modeling of Warm Absorbing Outflows in Active Galactic NucleiAshkbiz Danehkar
 
Bayesian X-ray Spectral Analysis of the Symbiotic Star RT Cru
Bayesian X-ray Spectral Analysis of the Symbiotic Star RT CruBayesian X-ray Spectral Analysis of the Symbiotic Star RT Cru
Bayesian X-ray Spectral Analysis of the Symbiotic Star RT CruAshkbiz Danehkar
 
QTPIE and water (Part 1)
QTPIE and water (Part 1)QTPIE and water (Part 1)
QTPIE and water (Part 1)Jiahao Chen
 
Current research on simulations of flaoting offshore wind turbines
Current research on simulations of flaoting offshore wind turbinesCurrent research on simulations of flaoting offshore wind turbines
Current research on simulations of flaoting offshore wind turbinesRicardo Faerron Guzmán
 
3_Xorbits_InSAR_IGARSS2011.ppt
3_Xorbits_InSAR_IGARSS2011.ppt3_Xorbits_InSAR_IGARSS2011.ppt
3_Xorbits_InSAR_IGARSS2011.pptgrssieee
 
ROBIN_SHRESTHA_AHS_PresentationV3
ROBIN_SHRESTHA_AHS_PresentationV3ROBIN_SHRESTHA_AHS_PresentationV3
ROBIN_SHRESTHA_AHS_PresentationV3Robin Shrestha
 
Optimal Estimations of Photometric Redshifts and SED Fitting Parameters
Optimal Estimations of Photometric Redshifts and SED Fitting ParametersOptimal Estimations of Photometric Redshifts and SED Fitting Parameters
Optimal Estimations of Photometric Redshifts and SED Fitting Parametersjulia avez
 
Simulation requirements and relevant load conditions in the design of floatin...
Simulation requirements and relevant load conditions in the design of floatin...Simulation requirements and relevant load conditions in the design of floatin...
Simulation requirements and relevant load conditions in the design of floatin...Ricardo Faerron Guzmán
 
Física mecánica en los cohetes lee joel rivera guzmán
Física mecánica en los cohetes lee joel rivera guzmánFísica mecánica en los cohetes lee joel rivera guzmán
Física mecánica en los cohetes lee joel rivera guzmánLEEJOELRIVERAGUZMAN
 
Lagrangeon Points
Lagrangeon PointsLagrangeon Points
Lagrangeon PointsNikhitha C
 
Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021
Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021
Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021Dora Musielak, Ph.D.
 
Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019
Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019
Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019Dora Musielak, Ph.D.
 
Realistic interstellarexplorer
Realistic interstellarexplorerRealistic interstellarexplorer
Realistic interstellarexplorerClifford Stone
 
Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...
  Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...  Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...
Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...Belinda Marchand
 
The-use-of-CFD-for-heliostat-wind-load-analysis1
The-use-of-CFD-for-heliostat-wind-load-analysis1The-use-of-CFD-for-heliostat-wind-load-analysis1
The-use-of-CFD-for-heliostat-wind-load-analysis1Adhikar Hariram
 
Hard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova Progenitors
Hard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova ProgenitorsHard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova Progenitors
Hard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova ProgenitorsAshkbiz Danehkar
 
MM2020:D17.00009
MM2020:D17.00009MM2020:D17.00009
MM2020:D17.00009BIKUNLi
 

What's hot (20)

Fermi lat observations_of_the_gamma_ray_burst_grb_130427a
Fermi lat observations_of_the_gamma_ray_burst_grb_130427aFermi lat observations_of_the_gamma_ray_burst_grb_130427a
Fermi lat observations_of_the_gamma_ray_burst_grb_130427a
 
Photoionization Modeling of Warm Absorbing Outflows in Active Galactic Nuclei
Photoionization Modeling of Warm Absorbing Outflows in Active Galactic NucleiPhotoionization Modeling of Warm Absorbing Outflows in Active Galactic Nuclei
Photoionization Modeling of Warm Absorbing Outflows in Active Galactic Nuclei
 
ProjectReport
ProjectReportProjectReport
ProjectReport
 
Bayesian X-ray Spectral Analysis of the Symbiotic Star RT Cru
Bayesian X-ray Spectral Analysis of the Symbiotic Star RT CruBayesian X-ray Spectral Analysis of the Symbiotic Star RT Cru
Bayesian X-ray Spectral Analysis of the Symbiotic Star RT Cru
 
QTPIE and water (Part 1)
QTPIE and water (Part 1)QTPIE and water (Part 1)
QTPIE and water (Part 1)
 
Current research on simulations of flaoting offshore wind turbines
Current research on simulations of flaoting offshore wind turbinesCurrent research on simulations of flaoting offshore wind turbines
Current research on simulations of flaoting offshore wind turbines
 
3_Xorbits_InSAR_IGARSS2011.ppt
3_Xorbits_InSAR_IGARSS2011.ppt3_Xorbits_InSAR_IGARSS2011.ppt
3_Xorbits_InSAR_IGARSS2011.ppt
 
ROBIN_SHRESTHA_AHS_PresentationV3
ROBIN_SHRESTHA_AHS_PresentationV3ROBIN_SHRESTHA_AHS_PresentationV3
ROBIN_SHRESTHA_AHS_PresentationV3
 
Optimal Estimations of Photometric Redshifts and SED Fitting Parameters
Optimal Estimations of Photometric Redshifts and SED Fitting ParametersOptimal Estimations of Photometric Redshifts and SED Fitting Parameters
Optimal Estimations of Photometric Redshifts and SED Fitting Parameters
 
Simulation requirements and relevant load conditions in the design of floatin...
Simulation requirements and relevant load conditions in the design of floatin...Simulation requirements and relevant load conditions in the design of floatin...
Simulation requirements and relevant load conditions in the design of floatin...
 
Física mecánica en los cohetes lee joel rivera guzmán
Física mecánica en los cohetes lee joel rivera guzmánFísica mecánica en los cohetes lee joel rivera guzmán
Física mecánica en los cohetes lee joel rivera guzmán
 
Lagrangeon Points
Lagrangeon PointsLagrangeon Points
Lagrangeon Points
 
Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021
Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021
Spacecraft orbits for exoplanets discovery lecture dr dora musielak 11 june 2021
 
Bogar nov99
Bogar nov99Bogar nov99
Bogar nov99
 
Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019
Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019
Orbit design for exoplanet discovery spacecraft dr dora musielak 1 april 2019
 
Realistic interstellarexplorer
Realistic interstellarexplorerRealistic interstellarexplorer
Realistic interstellarexplorer
 
Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...
  Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...  Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...
Investigation Of Alternative Return Strategies for Orion Trans-Earth Inject...
 
The-use-of-CFD-for-heliostat-wind-load-analysis1
The-use-of-CFD-for-heliostat-wind-load-analysis1The-use-of-CFD-for-heliostat-wind-load-analysis1
The-use-of-CFD-for-heliostat-wind-load-analysis1
 
Hard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova Progenitors
Hard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova ProgenitorsHard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova Progenitors
Hard X-ray Emitting Symbiotics: Candidates for Type Ia Supernova Progenitors
 
MM2020:D17.00009
MM2020:D17.00009MM2020:D17.00009
MM2020:D17.00009
 

Viewers also liked

CV (Wai Bong PA-C)
CV (Wai Bong PA-C)CV (Wai Bong PA-C)
CV (Wai Bong PA-C)Wai Bong
 
Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...
Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...
Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...Janie Ling Chin
 
China Amc Risk Parity
China Amc Risk ParityChina Amc Risk Parity
China Amc Risk ParityNan BAI,CFA
 
ShenZhen-HongKong Connect - Another milestone achieved
ShenZhen-HongKong Connect - Another milestone achievedShenZhen-HongKong Connect - Another milestone achieved
ShenZhen-HongKong Connect - Another milestone achievedNan BAI,CFA
 

Viewers also liked (9)

Resume
ResumeResume
Resume
 
CV (Wai Bong PA-C)
CV (Wai Bong PA-C)CV (Wai Bong PA-C)
CV (Wai Bong PA-C)
 
MAHENDRA SHARMA RESUME
MAHENDRA SHARMA RESUMEMAHENDRA SHARMA RESUME
MAHENDRA SHARMA RESUME
 
Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...
Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...
Investigating a conventional and retrofit power plant on-board a Roll-on-Roll...
 
MY CV
MY CVMY CV
MY CV
 
Danielle Higgs ARPN FNP-C Resume
Danielle Higgs ARPN FNP-C ResumeDanielle Higgs ARPN FNP-C Resume
Danielle Higgs ARPN FNP-C Resume
 
Análisis y diseño de puestos
Análisis y diseño de puestosAnálisis y diseño de puestos
Análisis y diseño de puestos
 
China Amc Risk Parity
China Amc Risk ParityChina Amc Risk Parity
China Amc Risk Parity
 
ShenZhen-HongKong Connect - Another milestone achieved
ShenZhen-HongKong Connect - Another milestone achievedShenZhen-HongKong Connect - Another milestone achieved
ShenZhen-HongKong Connect - Another milestone achieved
 

Similar to OralPresentation_JHyde

Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Daniel Riley
 
Презентация Microsoft PowerPoint
Презентация Microsoft PowerPointПрезентация Microsoft PowerPoint
Презентация Microsoft PowerPointOleg Rudakov
 
Short introduction to CLIC and CTF3
Short introduction to CLIC and CTF3Short introduction to CLIC and CTF3
Short introduction to CLIC and CTF3asafrona
 
Spiral magnet grad radial mags 2014
Spiral magnet grad   radial mags 2014Spiral magnet grad   radial mags 2014
Spiral magnet grad radial mags 2014Thomas Valone
 
Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718
Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718
Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718Sérgio Sacani
 
56. june 8 cirft bevard
56. june 8 cirft bevard56. june 8 cirft bevard
56. june 8 cirft bevardleann_mays
 
First order circuits linear circuit analysis
First order circuits linear circuit analysisFirst order circuits linear circuit analysis
First order circuits linear circuit analysisZulqarnainEngineerin
 
Future accelerator scenarios
Future accelerator scenariosFuture accelerator scenarios
Future accelerator scenariosESS BILBAO
 
Romiya_HR_presenetation
Romiya_HR_presenetationRomiya_HR_presenetation
Romiya_HR_presenetationRomiya Bose
 
LSS - Defense - 12-1-2014
LSS - Defense - 12-1-2014LSS - Defense - 12-1-2014
LSS - Defense - 12-1-2014Les Sheffield
 
Binping xiao superconducting surface impedance under radiofrequency field
Binping xiao   superconducting surface impedance under radiofrequency fieldBinping xiao   superconducting surface impedance under radiofrequency field
Binping xiao superconducting surface impedance under radiofrequency fieldthinfilmsworkshop
 

Similar to OralPresentation_JHyde (20)

1147 smith[1]
1147 smith[1]1147 smith[1]
1147 smith[1]
 
SULI_Report
SULI_ReportSULI_Report
SULI_Report
 
740 howe
740 howe740 howe
740 howe
 
Antimatter drivensail
Antimatter drivensailAntimatter drivensail
Antimatter drivensail
 
Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Spectroscopy of Ru109-112
Spectroscopy of Ru109-112
 
Searches for spin-dependent short-range forces
Searches for spin-dependent short-range forcesSearches for spin-dependent short-range forces
Searches for spin-dependent short-range forces
 
Thesis
ThesisThesis
Thesis
 
Презентация Microsoft PowerPoint
Презентация Microsoft PowerPointПрезентация Microsoft PowerPoint
Презентация Microsoft PowerPoint
 
Short introduction to CLIC and CTF3
Short introduction to CLIC and CTF3Short introduction to CLIC and CTF3
Short introduction to CLIC and CTF3
 
Georgeta Ungureanu final Phd
Georgeta Ungureanu final PhdGeorgeta Ungureanu final Phd
Georgeta Ungureanu final Phd
 
Spiral magnet grad radial mags 2014
Spiral magnet grad   radial mags 2014Spiral magnet grad   radial mags 2014
Spiral magnet grad radial mags 2014
 
M1 accelerators
M1 acceleratorsM1 accelerators
M1 accelerators
 
Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718
Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718
Breaking waves on the surface of the heartbeat star MACHO 80.7443.1718
 
56. june 8 cirft bevard
56. june 8 cirft bevard56. june 8 cirft bevard
56. june 8 cirft bevard
 
First order circuits linear circuit analysis
First order circuits linear circuit analysisFirst order circuits linear circuit analysis
First order circuits linear circuit analysis
 
Future accelerator scenarios
Future accelerator scenariosFuture accelerator scenarios
Future accelerator scenarios
 
NASA 2004 PP
NASA 2004 PPNASA 2004 PP
NASA 2004 PP
 
Romiya_HR_presenetation
Romiya_HR_presenetationRomiya_HR_presenetation
Romiya_HR_presenetation
 
LSS - Defense - 12-1-2014
LSS - Defense - 12-1-2014LSS - Defense - 12-1-2014
LSS - Defense - 12-1-2014
 
Binping xiao superconducting surface impedance under radiofrequency field
Binping xiao   superconducting surface impedance under radiofrequency fieldBinping xiao   superconducting surface impedance under radiofrequency field
Binping xiao superconducting surface impedance under radiofrequency field
 

OralPresentation_JHyde

  • 1. VariableR Reclustering in Multiple Top Quark Events Jeremy Hyde 1
  • 2. Outline •  Introduction •  LHC and ATLAS Detector •  Jets •  Boosted Objects •  Reclustering •  VariableR vs Fixed •  Top Quark Reconstruction •  W Boson Reconstruction •  Comparison 2
  • 3. Absract VariableR jet reclustering is an innovative technique that allows for the reconstruction of boosted object over a wide range of kinematic regimes. Such capability enables the efficient identification of events with multiple boosted top quarks which is a typical signature for new physics processes such as the production of the supersymmetric partner of the gluon. In order to evaluate the performance of the algorithm, the VariableR reclustered jets are compared with fixed radius reclustered jets. The flexibility of the algorithm is tested by reconstructing both boosted top quarks and boosted W bosons. The VariableR reclustering method is found to be more efficient than the fixed radius algorithm at identifying top quarks and W bosons in events with four top quarks, therefore enhancing the sensitivity for gluino searches. 3
  • 4. Introduction •  Looking at multiple top quark events in order to study new physics such as super symmetry •  In particular the top quarks decay into a W boson and bottom quark •  Gluinos can be very massive so their decay produces can be very energetic •  Key for signal discrimination is efficient reconstruction of top (or W) multiplicity. W+ t b 4
  • 5. LHC and ATLAS Detector 5
  • 6. 6 Jets •  What are jets? •  Jets are a cone of hadrons which are a produced by a quark or gluon hadronizing multiple times before it reaches the detector 6
  • 7. Jets •  What are jets? •  Jets are a cone of hadrons which are a produced by a quark or gluon hadronizing multiple times before it reaches the detector 7 Incoming quark hadronization Jet
  • 8. 88 Jets •  What are jets? •  Jets are a cone of hadrons which are a produced by a quark or gluon decaying multiple times before it reaches the detector 8
  • 9. 9 Jets •  What are jets? •  Jets are a cone of hadrons which are a produced by a quark or gluon decaying multiple times before it reaches the detector 9 Jets leave energy deposits on the ATLAS calorimeters They are reclustered with 0.4 radii in the η- ϕ space
  • 10. Boosted Objects 10 •  When a top quark is highly boosted its decay products will be collimated •  The radius of the cone produced (jet) depends on the the PT of the top quark (R = 2M/PT)
  • 11. Reclustering Jet reclustering allows jets to be calibrated at a small radius r, and then used as inputs for reconstructing larger jets of radius R 11 http://arxiv.org/pdf/1407.2922v2.pdf Rapidity -2 0 2 =1.5 TeVZ' , mtt→8 TeV PYTHIA Z' Stable Truth Particles R=1.0 Jetst nti-k Rapidity -2 0 2 AzimuthalAngle[rad] -2 0 2 Inside R=0.3 Jets Stable Truth Particles R=1.0, r=0.3 Jetst anti-k example event which has been clustered using the anti-kt R = 1.0 (left) and with re-clustered r = 0.3 anti-kt jets (right). The shaded regions show the jet area Energy Deposit Jets Reclustered Jets
  • 12. VariableR vs Fixed Fixed Reclustering: uses jets of r = 0.4 to reconstruct jets of R = 1.0 Variable Reclustering: uses a range from Rmin = 0.4 to Rmax = 1.5 to reconstruct jets 12 •  VariableR Allows us to reconstruct jets of various kinematic regimes •  R=2M/PT define typical scale for the jets which is given by: •  ρT = 2*173.5 ρW = 2* 80.4 http://arxiv.org/abs/0903.0392
  • 13. 13 VariableR vs Fixed Fixed Reclustering: uses jets of r = 0.4 to reconstruct jets of R = 1.0 Variable Reclustering: uses a range from Rmin = 0.4 to Rmax = 1.5 to reconstruct jets 13 •  VariableR Allows us to reconstruct jets of various kinematic regimes •  R=2M/PT define typical scale for the jets which is given by: •  ρT = 2*173.5 ρW = 2* 80.4 http://arxiv.org/abs/0903.0392
  • 14. Boosted Top Reconstruction 14 Eta -4 -3 -2 -1 0 1 2 3 4 Phi 0 1 2 3 4 5 6 148.967 160.003 198.717 192.775 148.967 160.003 198.717 192.775 148.967 160.003 198.717 192.775 148.967 160.003 198.717 192.775 148.967 160.003 429.638 148.967 160.003 429.638 148.967 160.003 429.638 Plot of Jets Mass (GeV) 0 50 100 150 200 250 300 350 400 450 500 #ofEvents 0 200 400 600 800 1000 > 300 GeV T ); P T =MρVR( > 300 GeVT R = 1.0; P Mass (GeV) 0 50 100150 200250300350400 450500 #ofEvents 0 50 100 150 200 250 300 > 200 GeV T ); P T =MρVR( > 200 GeVT R = 1.0; P Mass distribution for highest PT top quark candidate Mass distribution for fourth highest PT top quark candidate VR constituent Fixed constituent VR Fixed
  • 15. Significance Mass (GeV) 0 50 100150200250300350400450500 NumberofReclusteredJets 0 200 400 600 800 1000 Variable Fixed Mass (GeV) 0 50 100150200250300350400450500 NumberofReclusteredJets 0 500 1000 1500 2000 2500 3000 3500 4000 4500 Variable Fixed Variable Fixed Variable Fixed Variable Fixed Variable Fixed Variable Fixed Variable Fixed L= 5 fb-1 15 The VariableR algorithm is more efficient at reconstructing multiple jets and so allows us to discriminate against low top quark candidate multiplicity Mimimum Number of Reclustered Jets -0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Significance 0 0.0005 0.001 0.0015 0.002 0.0025 0.003 0.0035 0.004 # of T for VR # of T for R = 1.0 Mass distribution for highest PT top quark candidate Mass distribution for fourth highest PT top quark candidate
  • 16. Boosted W Reconstruction Mass (GeV) 0 50 100150200250300350400450500 NumberofReclusteredJets 0 1000 2000 3000 4000 5000 6000 Variable Fixed 16 Eta -4 -3 -2 -1 0 1 2 3 4 Phi 0 1 2 3 4 5 6 90.8888 70.772 52.7264 90.8888 70.772 52.7264 90.8888 70.772 52.7264 179.594 70.772 52.7264 179.594 70.772 52.7264 179.594 70.772 52.7264 Plot of Jets VariableR can reconstruct W bosons in various regimes VR constituent Fixed constituent VR Fixed Mass distribution for highest PT top quark candidate
  • 17. Significance Comparison 17 Mimimum Number of Reclustered Jets -0.5 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 Significance 0.0005 0.001 0.0015 0.002 0.0025 0.003 0.0035 # of T for VR # of W for VR # of T for R = 1.0 # of W for R = 1.0
  • 18. Conclusions and Next Steps •  I learned about reconstructing boosted top quarks and W bosons in the hadronic final state •  Studied the application of a new algorithm (VariableR reclustering) for identification of new physic processes •  This technique will be implemented in the super-symmetry search for gluino mediated stop pair production 18
  • 19. Acknowledgements 19 •  Francesco Rubbo •  Ariel Schwartzman •  Ben Nachman •  Su Dong •  Fastjet.fr •  stackoverflow •  SULI, DOE, ATLAS and SLAC