SlideShare ist ein Scribd-Unternehmen logo
1 von 42
Downloaden Sie, um offline zu lesen
Francesca Giordano for the Phenix Collaboration
Spin 2014, Beijing, China, October 21st, 2014
Proton Quark Helicity Structure via
W-boson Production in pp Collision
@ PHENIX
1
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
1
2
⇥
G
Lq
Lg
D. De Florian et al., PRL101, 072001 (2008)
2
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
D. De Florian et al., PRL101, 072001 (2008)
precise (quark + antiquark) PDFs
extracted mostly from Deep
Inelastic Scattering experiments
in DIS, flavor separation is bound to
the knowledge of fragmentation
functions
leading to larger uncertainties
3
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
D. De Florian et al., PRL101, 072001 (2008)
There is an alternative!
W production in proton-proton collision!
4
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
D. De Florian et al., PRL101, 072001 (2008)
Maximally parity-violating!
Independent from Fragmentation Functions
There is an alternative!
W production in proton-proton collision!
5
W+
W
dL
¯uR ¯dR
uL
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
D. De Florian et al., PRL101, 072001 (2008)
There is an alternative!
AL =
1
P
N+
N
N+ + N
W production in proton-proton collision!
6
W+
W
dL
¯uR ¯dR
uL
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
D. De Florian et al., PRL101, 072001 (2008)
There is an alternative!
W production in proton-proton collision!
7
AW +
L =
u(x1) ¯d(x2) + ¯d(x1)u(x2)
u(x1) ¯d(x2) + ¯d(x1)u(x2)
AW
L =
d(x1)¯u(x2) + ¯u(x1)d(x2)
d(x1)¯u(x2) + ¯u(x1)d(x2)
Francesca Giordano
The proton spin puzzle
quark spins gluon spins
quark&gluon
orbital motion
D. De Florian et al., PRL101, 072001 (2008)
There is an alternative!
W production in proton-proton collision!
8
Francesca Giordano
Hadron-Hadron collider
√s of 62 GeV, 200 GeV, 500 GeV
RHIC
1
Identified Forward Hadrons
in p +p at RHIC
J.H. Lee
for Collaboration
BNL
April 27, DIS09, Madrid
STAR
PHENIX @ RHIC
9Francesca Giordano
Francesca Giordano
South Muon Tracker
North Muon Tracker
Proton Proton
PHENIX IR
µ
e
10Francesca Giordano
Francesca Giordano
PHENIX
Central Arms
Central Arms:
Tracking, Momentum and PID for:
★ charged and neutral hadrons
★ direct photons
★ e+
e-
|⌘| < 0.35
Forward Arms
1.2 < |⌘| < 2.4
Tracking, Momentum and PID for e±
11
Tracking and Momentum for µ±
~pp ! W±
! e±
⌫ ~pp ! W±
! µ±
⌫
Francesca Giordano
Phenix 500 Gev Runs
W production in proton-proton collision at 500 (510) GeV
High Longitudinal Polarization (up to 56%)
Total luminosity: 300 pb-1
Central arms:
- Results being finalized
Forward Arms:
- Preliminary results on 2011 and 2012 data
- 2013 data preliminary New!
12
Francesca Giordano 13
Decay lepton kinematics
Pythia
ll ?
d ¯d¯u u
Forward ForwardBackward Backward
Francesca Giordano
Jacobian peaks at central rapidities! Suppressed/no Jacobian peaks
at forward rapidities!
14
Decay lepton kinematics
Francesca Giordano
W asymmetries in central
rapidities
15
Francesca Giordano
W decay at central rapidities
Jacobian peaks visible!
Analysis strategy:
1. Reduce background as much as possible
2. Extract the Bg shape then fit the whole spectrum together with a signal shape
3. Evaluate asymmetries
16
W+W-
Francesca Giordano
W decay at central rapidities
Jacobian peaks visible!
Analysis strategy:
1. Reduce background as much as possible
Background
4/29/2014 PHENIX W->e | Ciprian Gal 6
• Reducible Backgrounds:
– Photons from neutral
pion/eta decays followed
by e± pair production
– Cosmic rays
– Beam related backgrounds
• Irreducible Backgrounds
– Z decays
– Charm, bottom decays
– Other W decays
ative isolation cut
und discriminator
ne of R=0.4 divided
he candidate
background reduced
by a factor 10!
Main background discriminator:
Relative isolation cut: energy in a cone (R=0.4rad)
not from the candidate electron < 10%
17
Background sources:
1. e±-pair production by 𝛑0
/ỷ decay photons
2. cosmic rays
3. background from beams
4. Z/charm-bottom decays/other W decays
Francesca Giordano
W decay at central rapidities
Jacobian peaks visible!
Analysis strategy:
1. Reduce background as much as possible
2. Extract the Bg shape then fit the whole spectrum together with a signal shape
uses the low pT (background dominated) spectra
used to define the shape of the background
18
Assumption 1: background shape does not change at higher pT
Assumption 2: smooth curve to describe background
Gaussian process regression
extrapolate the expected bg shape and uncertainty
in the higher pT region
Gaussian Process Regression
4/29/2014 PHENIX W->e | Ciprian Gal 11
• Use background control region to get a shape
• The GPR will give a background contribution and
uncertainty
• A cross check of the method has been performed with a
classic functional form showing good agreement
Gaussian Process Regression
4/29/2014 PHENIX W->e | Ciprian Gal 11
• Use background control region to get a shape
• The GPR will give a background contribution and
uncertainty
• A cross check of the method has been performed with a
classic functional form showing good agreement
Francesca Giordano
W decay at central rapidities
Jacobian peaks visible!
Analysis strategy:
1. Reduce background as much as possible
2. Extract the Bg shape then fit the whole spectrum together with a signal shape
19
Fit the extracted bg shape + signal
W+W-
Francesca Giordano
W decay at central rapidities
Jacobian peaks visible!
Analysis strategy:
1. Reduce background as much as possible
2. Extract the Bg shape then fit the whole spectrum together with a signal shape
3. Evaluate asymmetries
Asymmetries all data
• Run 13 results were
separated into two eta
bins
• Run 09/11/12 data all
combined into one
single measurement
• Overall consistency
with the theoretical
predictions
Good agreement with prediction
2009+2011+2012
2013
Final results will be
submitted soon
20
Francesca Giordano
W asymmetries in forward
rapidities
21
Francesca GiordanoFigure 1.2: Top plots: Real muon cross sections for positive (left) and negative (right) muons
tions and Analysis Variables MC simulations of signal and ba
22
W decay at forward rapidities
Large Background !
Muon cross-section dominated by W
only at high pT!
Pythia
W+W-
Francesca Giordano
3 types of Backgrounds:
1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan
Background from other than W muon sources
only part of the story!
Figure 1.2: Top plots: Real muon cross sections for positive (left) and negative (right) muons
tions and Analysis Variables MC simulations of signal and ba
23
W decay at forward rapidities
Pythia
W+W-
Francesca Giordano
3 types of Backgrounds:
1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan
2. Punch-through Hadrons: from W and other sources
- in principle at low pT, but muon arms have
large momentum smearing !
Background from other than W muon sources
only part of the story!
MC simulations of signal and backgrounds Simulations and Analysis Variables
Figure 1.3: Top plots: Hadronic cross sections for positive (left) and negative (right)hadrons
MC simulations of signal and backgrounds Simulations and Analysis Va
24 Pythia
W decay at forward rapidities
Francesca Giordano
3. Fake high-pT muons
3 types of Backgrounds:
1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan
2. Punch-through Hadrons: from W and other sources
- in principle at low pT, but muon arms have
large momentum smearing !
Background from other than W muon sources
only part of the story!
25
W decay at forward rapidities
Francesca Giordano
3. Fake high-pT muons
3 types of Backgrounds:
1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan
2. Punch-through Hadrons: from W and other sources
- in principle at low pT, but muon arms have
large momentum smearing !
Background from other than W muon sources
only part of the story!
MC simulations of signal and backgrounds Simulations and Analysis Variables
Total background, accounting for all sources and smearing:
26
W decay at forward rapidities
W+W-
Francesca Giordano
Analysis strategy:
1. Muon Trigger upgrade
2. Reduce background as much as possible
3. Estimate signal-to-background ratio
4. Evaluate asymmetries
MC simulations of signal and backgrounds Simulations and Analysis Variables
Total background, accounting for all sources and smearing:
W- W+
27
W decay at forward rapidities
Francesca Giordano
Phenix Forward Upgrade
PYTHIA
W
old trigger
28
Phenix upgraded the existing muon arms
for a dedicated muon-from-W trigger!
Francesca Giordano
Phenix Forward Upgrade
29
MuTracker FEE upgrades
1. Add momentum info in the trigger
TOP view
Reject muons with
momentum <15 GeV
Phenix upgraded the existing muon arms
for a dedicated muon-from-W trigger!
Add precise timing information
1. to reject out of time background
2. to correlate events with beam polarization
1 beamclock!
2. Addition of 4 new RPC stations
Signal
Bg from
beams
FVTX
Francesca Giordano
Definining the W-ness of an event
Signal likelihood based on probability density
functions from simulated W events
Wness =
signal
signal + bg
yields for negativemuon candidates as a function of the kinematic
= [p(DG0, DDG0), p(DCA), p( 2
),
p(RPC DCA), p(FV TX match), p(FTV X cone)]
30
Background likelihood based on pdfs from
bg-dominated data (signal < 1%)
Unlikely a
W-event
Very likely a
W-event
Francesca Giordano
Definining the W-ness of an event
W likelihood ratio extraction and background estimation Data Analysis
High-efficiency cut parameter!
Signal likelihood based on probability density
functions from simulated W events
Background likelihood based on pdfs from
bg-dominated data (signal < 1%)
Wness =
signal
signal + bg
= [p(DG0, DDG0), p(DCA), p( 2
),
p(RPC DCA), p(FV TX match), p(FTV X cone)]
31
Francesca Giordano
Definining the W-ness of an event
Signal likelihood based on probability density
functions from simulated W events
Background likelihood based on pdfs from
bg-dominated data (signal < 1%)
Wness =
signal
signal + bg
= [p(DG0, DDG0), p(DCA), p( 2
),
p(RPC DCA), p(FV TX match), p(FTV X cone)]
32
Cut chosen:
Wness > 0.99
fixed looking at the FOM of uncertainties (stat+sys)
for the final asymmetries
Francesca Giordano
Extraction of the Sig/Bg ratio
via an Extended Unbinned, 2-D, Maximum-Likelihood fit
(2D EUMLF)
pseudorapidity ỷ effective bending dw23
(Independent from the variables
used in the wness estimation)
33
Francesca Giordano
Extraction of the Sig/Bg ratio
34
via an Extended Unbinned, 2-D, Maximum-Likelihood fit
(2D EUMLF)
parameters
fixed
for W
from Simulation
for Hadron bg
& Fake muons extrapolated from
bg-dominated data (low-wness)
for Muon bg
from Simulation
dw23ỷ
Francesca Giordano
Extraction of the Sig/Bg ratio
Sig/Bg ratio from 30% to 50%, depending on
Phenix arm/muon charge/ỷ region
35
via an Extended Unbinned, 2-D, Maximum-Likelihood fit
(2D EUMLF)
Francesca Giordano
W cross-section
Consistent with prediction within
the large uncertainties
36
Francesca Giordano
W cross-section: systematics
37
About 20% charge
misidentification
Momentum smearing
Muon bg estimate
2D-EUMLF accuracy
(tested with MC inputs)
Major contributions:
Trigger efficiency
All uncertainties propagated to the
asymmetries via sig/bg fit uncertainty
Francesca Giordano
Single Spin Asymmetries
Background AL
consistent with 0
Background treated as a
dilution in the measured AL
38
AL =
1
P
N+
N
N+ + N
Francesca Giordano
Single Spin Asymmetries
AL =
1
P
N+
N
N+ + N
39
Phenix AL for W+ decay leptons appear to
be consistent with prediction at center
and forward rapidities
At backward rapidities AL seems to be
positive/consistent with zero
(similarly to the AL observed from STAR
for positive electrons AL)
Phenix AL for W- decay leptons are
qualitatively consistent with predictions
Francesca Giordano
Summary
About 300 pb-1 at 500 GeV collected at Phenix for W!l𝜈
All data analyzed
40
W!e+- in central rapidities:
final results and paper in advance stage,will be submitted soon
W!µ+- in forward rapidities:
preliminary results for run 2013 presented here for the first time
Work in progress to reduce systematics:
- improve signal to background extraction
- new data production to correct for known momentum smearing
and improve the charge reconstruction
Thank you!
Francesca Giordano
Single Spin Asymmetries
AL =
1
P
N+
N
N+ + N
41
Results from 2013 data compatible with
previous results (2012 data)
Francesca Giordano
Single Spin Asymmetries
ỷ dependence:
Large uncertainties, similar conclusions
42
Phenix AL for W+ decay leptons appear to
be consistent with prediction at center
and forward rapidities
At backward rapidities AL seems to be
positive/consistent with zero
(similarly to the AL observed from STAR
for positive electrons AL)
Phenix AL for W- decay leptons are
qualitatively consistent with predictions
AL =
1
P
N+
N
N+ + N

Weitere ähnliche Inhalte

Andere mochten auch

F Giordano Collins Fragmentation for Kaon
F Giordano Collins Fragmentation for KaonF Giordano Collins Fragmentation for Kaon
F Giordano Collins Fragmentation for KaonFrancesca Giordano
 
Published - Badovli Thermal Analysis
Published - Badovli Thermal AnalysisPublished - Badovli Thermal Analysis
Published - Badovli Thermal AnalysisHamidreza Araghian
 
Contrive Experiences prepared By Liselle Bautista
Contrive Experiences prepared By Liselle BautistaContrive Experiences prepared By Liselle Bautista
Contrive Experiences prepared By Liselle Bautistapompoms29
 
Quý ông “treo máy” vì áp lực ngày tết
Quý ông “treo máy” vì áp lực ngày tếtQuý ông “treo máy” vì áp lực ngày tết
Quý ông “treo máy” vì áp lực ngày tếtkraig710
 
Presentation1
Presentation1Presentation1
Presentation1tyaawe
 
G.R.O.W Ben & Chloe - Piezoelectricity
G.R.O.W Ben & Chloe - Piezoelectricity G.R.O.W Ben & Chloe - Piezoelectricity
G.R.O.W Ben & Chloe - Piezoelectricity bri01216
 
F Giordano Proton transversity distributions
F Giordano Proton transversity distributionsF Giordano Proton transversity distributions
F Giordano Proton transversity distributionsFrancesca Giordano
 

Andere mochten auch (16)

F Giordano Collins Fragmentation for Kaon
F Giordano Collins Fragmentation for KaonF Giordano Collins Fragmentation for Kaon
F Giordano Collins Fragmentation for Kaon
 
Published - Badovli Thermal Analysis
Published - Badovli Thermal AnalysisPublished - Badovli Thermal Analysis
Published - Badovli Thermal Analysis
 
Contrive Experiences prepared By Liselle Bautista
Contrive Experiences prepared By Liselle BautistaContrive Experiences prepared By Liselle Bautista
Contrive Experiences prepared By Liselle Bautista
 
Unit i
Unit iUnit i
Unit i
 
2014_Resume_ADouglas
2014_Resume_ADouglas2014_Resume_ADouglas
2014_Resume_ADouglas
 
Pengantar Manajemen
Pengantar ManajemenPengantar Manajemen
Pengantar Manajemen
 
Quý ông “treo máy” vì áp lực ngày tết
Quý ông “treo máy” vì áp lực ngày tếtQuý ông “treo máy” vì áp lực ngày tết
Quý ông “treo máy” vì áp lực ngày tết
 
Eabsendotcom
EabsendotcomEabsendotcom
Eabsendotcom
 
SOSIOLOGI POLITIK
SOSIOLOGI POLITIKSOSIOLOGI POLITIK
SOSIOLOGI POLITIK
 
ct0019
ct0019ct0019
ct0019
 
Presentation1
Presentation1Presentation1
Presentation1
 
G.R.O.W Ben & Chloe - Piezoelectricity
G.R.O.W Ben & Chloe - Piezoelectricity G.R.O.W Ben & Chloe - Piezoelectricity
G.R.O.W Ben & Chloe - Piezoelectricity
 
A
AA
A
 
Unit v
Unit vUnit v
Unit v
 
F Giordano Proton transversity distributions
F Giordano Proton transversity distributionsF Giordano Proton transversity distributions
F Giordano Proton transversity distributions
 
MOWCM AR15 final SR
MOWCM AR15 final SRMOWCM AR15 final SR
MOWCM AR15 final SR
 

Ähnlich wie Proton Quark Helicity Structure via W-boson Production in pp Collision

Phenix Forward Upgrade: the RPCs
Phenix Forward Upgrade: the RPCsPhenix Forward Upgrade: the RPCs
Phenix Forward Upgrade: the RPCsFrancesca Giordano
 
F Giordano: spin-dependent effects in spin-averaged DIS
F Giordano: spin-dependent effects in spin-averaged DISF Giordano: spin-dependent effects in spin-averaged DIS
F Giordano: spin-dependent effects in spin-averaged DISFrancesca Giordano
 
Localized Characterization of GaAs/AlGaAs Quantum Well Devices
Localized Characterization of GaAs/AlGaAs Quantum Well DevicesLocalized Characterization of GaAs/AlGaAs Quantum Well Devices
Localized Characterization of GaAs/AlGaAs Quantum Well DevicesImee Rose Tagaca
 
Satellite RF Communications and Onboard Processing Course Sampler
Satellite RF Communications  and Onboard Processing Course SamplerSatellite RF Communications  and Onboard Processing Course Sampler
Satellite RF Communications and Onboard Processing Course SamplerJim Jenkins
 
Non linear electron dynamics in solids
Non linear electron dynamics in solidsNon linear electron dynamics in solids
Non linear electron dynamics in solidsClaudio Attaccalite
 
WMB-IP=TU1-TO2_5-110726_1040=110722.pptx
WMB-IP=TU1-TO2_5-110726_1040=110722.pptxWMB-IP=TU1-TO2_5-110726_1040=110722.pptx
WMB-IP=TU1-TO2_5-110726_1040=110722.pptxgrssieee
 
Exclusives J/Ψ production of Photonuclear for PbPb and pPb interaction at LHC
Exclusives J/Ψ production  of Photonuclear for PbPb and pPb interaction at LHCExclusives J/Ψ production  of Photonuclear for PbPb and pPb interaction at LHC
Exclusives J/Ψ production of Photonuclear for PbPb and pPb interaction at LHCAyman Ahmad Al-bataineh, Ph.D.
 
Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Daniel Riley
 
TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...
TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...
TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...grssieee
 
Noise from stray light in interferometric GWs detectors
Noise from stray light in interferometric GWs detectorsNoise from stray light in interferometric GWs detectors
Noise from stray light in interferometric GWs detectorsJose Gonzalez
 
05Seuntjens-MonteCarloIntro.pdf
05Seuntjens-MonteCarloIntro.pdf05Seuntjens-MonteCarloIntro.pdf
05Seuntjens-MonteCarloIntro.pdfNishant835443
 
Lec 4 design via frequency response
Lec 4 design via frequency responseLec 4 design via frequency response
Lec 4 design via frequency responseBehzad Farzanegan
 
Basic antenna principles
Basic antenna principles Basic antenna principles
Basic antenna principles Vu Trong Thiep
 
Imperfect waveforms measurement why and how
Imperfect waveforms measurement why and howImperfect waveforms measurement why and how
Imperfect waveforms measurement why and howToppy Huang
 
PRINCIPLES of FT-NMR & 13C NMR
PRINCIPLES of FT-NMR & 13C NMRPRINCIPLES of FT-NMR & 13C NMR
PRINCIPLES of FT-NMR & 13C NMRAditya Sharma
 
My presentation Jose M. Escalante Fernandez
My presentation Jose M. Escalante FernandezMy presentation Jose M. Escalante Fernandez
My presentation Jose M. Escalante FernandezEscalante Supertramp
 
Introduction to the electron phonon renormalization of the electronic band st...
Introduction to the electron phonon renormalization of the electronic band st...Introduction to the electron phonon renormalization of the electronic band st...
Introduction to the electron phonon renormalization of the electronic band st...Elena Cannuccia
 
September 2014 NITheP Associate meeting Dr Chiang presentation
September 2014 NITheP Associate meeting Dr Chiang presentation September 2014 NITheP Associate meeting Dr Chiang presentation
September 2014 NITheP Associate meeting Dr Chiang presentation Rene Kotze
 
beamformingantennas1-150723193911-lva1-app6892.pdf
beamformingantennas1-150723193911-lva1-app6892.pdfbeamformingantennas1-150723193911-lva1-app6892.pdf
beamformingantennas1-150723193911-lva1-app6892.pdfFirstknightPhyo
 

Ähnlich wie Proton Quark Helicity Structure via W-boson Production in pp Collision (20)

Phenix Forward Upgrade: the RPCs
Phenix Forward Upgrade: the RPCsPhenix Forward Upgrade: the RPCs
Phenix Forward Upgrade: the RPCs
 
F Giordano: spin-dependent effects in spin-averaged DIS
F Giordano: spin-dependent effects in spin-averaged DISF Giordano: spin-dependent effects in spin-averaged DIS
F Giordano: spin-dependent effects in spin-averaged DIS
 
Presentazione
PresentazionePresentazione
Presentazione
 
Localized Characterization of GaAs/AlGaAs Quantum Well Devices
Localized Characterization of GaAs/AlGaAs Quantum Well DevicesLocalized Characterization of GaAs/AlGaAs Quantum Well Devices
Localized Characterization of GaAs/AlGaAs Quantum Well Devices
 
Satellite RF Communications and Onboard Processing Course Sampler
Satellite RF Communications  and Onboard Processing Course SamplerSatellite RF Communications  and Onboard Processing Course Sampler
Satellite RF Communications and Onboard Processing Course Sampler
 
Non linear electron dynamics in solids
Non linear electron dynamics in solidsNon linear electron dynamics in solids
Non linear electron dynamics in solids
 
WMB-IP=TU1-TO2_5-110726_1040=110722.pptx
WMB-IP=TU1-TO2_5-110726_1040=110722.pptxWMB-IP=TU1-TO2_5-110726_1040=110722.pptx
WMB-IP=TU1-TO2_5-110726_1040=110722.pptx
 
Exclusives J/Ψ production of Photonuclear for PbPb and pPb interaction at LHC
Exclusives J/Ψ production  of Photonuclear for PbPb and pPb interaction at LHCExclusives J/Ψ production  of Photonuclear for PbPb and pPb interaction at LHC
Exclusives J/Ψ production of Photonuclear for PbPb and pPb interaction at LHC
 
Spectroscopy of Ru109-112
Spectroscopy of Ru109-112Spectroscopy of Ru109-112
Spectroscopy of Ru109-112
 
TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...
TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...
TU1.L09 - RECENT ADVANCES IN FULLY POLARIMETRIC SPACE-SAR SENSOR DESIGN AND I...
 
Noise from stray light in interferometric GWs detectors
Noise from stray light in interferometric GWs detectorsNoise from stray light in interferometric GWs detectors
Noise from stray light in interferometric GWs detectors
 
05Seuntjens-MonteCarloIntro.pdf
05Seuntjens-MonteCarloIntro.pdf05Seuntjens-MonteCarloIntro.pdf
05Seuntjens-MonteCarloIntro.pdf
 
Lec 4 design via frequency response
Lec 4 design via frequency responseLec 4 design via frequency response
Lec 4 design via frequency response
 
Basic antenna principles
Basic antenna principles Basic antenna principles
Basic antenna principles
 
Imperfect waveforms measurement why and how
Imperfect waveforms measurement why and howImperfect waveforms measurement why and how
Imperfect waveforms measurement why and how
 
PRINCIPLES of FT-NMR & 13C NMR
PRINCIPLES of FT-NMR & 13C NMRPRINCIPLES of FT-NMR & 13C NMR
PRINCIPLES of FT-NMR & 13C NMR
 
My presentation Jose M. Escalante Fernandez
My presentation Jose M. Escalante FernandezMy presentation Jose M. Escalante Fernandez
My presentation Jose M. Escalante Fernandez
 
Introduction to the electron phonon renormalization of the electronic band st...
Introduction to the electron phonon renormalization of the electronic band st...Introduction to the electron phonon renormalization of the electronic band st...
Introduction to the electron phonon renormalization of the electronic band st...
 
September 2014 NITheP Associate meeting Dr Chiang presentation
September 2014 NITheP Associate meeting Dr Chiang presentation September 2014 NITheP Associate meeting Dr Chiang presentation
September 2014 NITheP Associate meeting Dr Chiang presentation
 
beamformingantennas1-150723193911-lva1-app6892.pdf
beamformingantennas1-150723193911-lva1-app6892.pdfbeamformingantennas1-150723193911-lva1-app6892.pdf
beamformingantennas1-150723193911-lva1-app6892.pdf
 

Mehr von Francesca Giordano

Talk at the QCDN 2012 conference in Bilbao
Talk at the QCDN 2012 conference in BilbaoTalk at the QCDN 2012 conference in Bilbao
Talk at the QCDN 2012 conference in BilbaoFrancesca Giordano
 
Seminario per Studenti a SPINFest 2014 - day 1
Seminario per Studenti a SPINFest 2014 - day 1Seminario per Studenti a SPINFest 2014 - day 1
Seminario per Studenti a SPINFest 2014 - day 1Francesca Giordano
 
Seminario per Studenti a SPINFest 2014
Seminario per Studenti a SPINFest 2014Seminario per Studenti a SPINFest 2014
Seminario per Studenti a SPINFest 2014Francesca Giordano
 
NGS Assembly Practical Lesson (EBI course)
NGS Assembly Practical Lesson (EBI course)NGS Assembly Practical Lesson (EBI course)
NGS Assembly Practical Lesson (EBI course)Francesca Giordano
 
Genome assembly from three sequencing platforms: minION, MiSeq and PacBio
Genome assembly from three sequencing platforms: minION, MiSeq and PacBioGenome assembly from three sequencing platforms: minION, MiSeq and PacBio
Genome assembly from three sequencing platforms: minION, MiSeq and PacBioFrancesca Giordano
 
F Giordano ScanPAV Analysis Pipeline
F Giordano ScanPAV Analysis PipelineF Giordano ScanPAV Analysis Pipeline
F Giordano ScanPAV Analysis PipelineFrancesca Giordano
 

Mehr von Francesca Giordano (8)

Dis2013 spin highlights
Dis2013 spin highlightsDis2013 spin highlights
Dis2013 spin highlights
 
TMD PDF in SIDIS
TMD PDF in SIDISTMD PDF in SIDIS
TMD PDF in SIDIS
 
Talk at the QCDN 2012 conference in Bilbao
Talk at the QCDN 2012 conference in BilbaoTalk at the QCDN 2012 conference in Bilbao
Talk at the QCDN 2012 conference in Bilbao
 
Seminario per Studenti a SPINFest 2014 - day 1
Seminario per Studenti a SPINFest 2014 - day 1Seminario per Studenti a SPINFest 2014 - day 1
Seminario per Studenti a SPINFest 2014 - day 1
 
Seminario per Studenti a SPINFest 2014
Seminario per Studenti a SPINFest 2014Seminario per Studenti a SPINFest 2014
Seminario per Studenti a SPINFest 2014
 
NGS Assembly Practical Lesson (EBI course)
NGS Assembly Practical Lesson (EBI course)NGS Assembly Practical Lesson (EBI course)
NGS Assembly Practical Lesson (EBI course)
 
Genome assembly from three sequencing platforms: minION, MiSeq and PacBio
Genome assembly from three sequencing platforms: minION, MiSeq and PacBioGenome assembly from three sequencing platforms: minION, MiSeq and PacBio
Genome assembly from three sequencing platforms: minION, MiSeq and PacBio
 
F Giordano ScanPAV Analysis Pipeline
F Giordano ScanPAV Analysis PipelineF Giordano ScanPAV Analysis Pipeline
F Giordano ScanPAV Analysis Pipeline
 

Kürzlich hochgeladen

Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfSELF-EXPLANATORY
 
Luciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxLuciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxAleenaTreesaSaji
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )aarthirajkumar25
 
Ahmedabad Call Girls Service 9537192988 can satisfy every one of your dreams
Ahmedabad Call Girls Service 9537192988 can satisfy every one of your dreamsAhmedabad Call Girls Service 9537192988 can satisfy every one of your dreams
Ahmedabad Call Girls Service 9537192988 can satisfy every one of your dreamsoolala9823
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxAleenaTreesaSaji
 
The Black hole shadow in Modified Gravity
The Black hole shadow in Modified GravityThe Black hole shadow in Modified Gravity
The Black hole shadow in Modified GravitySubhadipsau21168
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PPRINCE C P
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...Sérgio Sacani
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...jana861314
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsAArockiyaNisha
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfSwapnil Therkar
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsssuserddc89b
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)DHURKADEVIBASKAR
 
Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Jshifa
 

Kürzlich hochgeladen (20)

Behavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdfBehavioral Disorder: Schizophrenia & it's Case Study.pdf
Behavioral Disorder: Schizophrenia & it's Case Study.pdf
 
Luciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptxLuciferase in rDNA technology (biotechnology).pptx
Luciferase in rDNA technology (biotechnology).pptx
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )Recombination DNA Technology (Nucleic Acid Hybridization )
Recombination DNA Technology (Nucleic Acid Hybridization )
 
Ahmedabad Call Girls Service 9537192988 can satisfy every one of your dreams
Ahmedabad Call Girls Service 9537192988 can satisfy every one of your dreamsAhmedabad Call Girls Service 9537192988 can satisfy every one of your dreams
Ahmedabad Call Girls Service 9537192988 can satisfy every one of your dreams
 
GFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptxGFP in rDNA Technology (Biotechnology).pptx
GFP in rDNA Technology (Biotechnology).pptx
 
The Black hole shadow in Modified Gravity
The Black hole shadow in Modified GravityThe Black hole shadow in Modified Gravity
The Black hole shadow in Modified Gravity
 
Artificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C PArtificial Intelligence In Microbiology by Dr. Prince C P
Artificial Intelligence In Microbiology by Dr. Prince C P
 
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
PossibleEoarcheanRecordsoftheGeomagneticFieldPreservedintheIsuaSupracrustalBe...
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
Traditional Agroforestry System in India- Shifting Cultivation, Taungya, Home...
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Natural Polymer Based Nanomaterials
Natural Polymer Based NanomaterialsNatural Polymer Based Nanomaterials
Natural Polymer Based Nanomaterials
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdfAnalytical Profile of Coleus Forskohlii | Forskolin .pdf
Analytical Profile of Coleus Forskohlii | Forskolin .pdf
 
TOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physicsTOPIC 8 Temperature and Heat.pdf physics
TOPIC 8 Temperature and Heat.pdf physics
 
Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)Recombinant DNA technology( Transgenic plant and animal)
Recombinant DNA technology( Transgenic plant and animal)
 
Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)Recombination DNA Technology (Microinjection)
Recombination DNA Technology (Microinjection)
 
Engler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomyEngler and Prantl system of classification in plant taxonomy
Engler and Prantl system of classification in plant taxonomy
 

Proton Quark Helicity Structure via W-boson Production in pp Collision

  • 1. Francesca Giordano for the Phenix Collaboration Spin 2014, Beijing, China, October 21st, 2014 Proton Quark Helicity Structure via W-boson Production in pp Collision @ PHENIX 1
  • 2. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion 1 2 ⇥ G Lq Lg D. De Florian et al., PRL101, 072001 (2008) 2
  • 3. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion D. De Florian et al., PRL101, 072001 (2008) precise (quark + antiquark) PDFs extracted mostly from Deep Inelastic Scattering experiments in DIS, flavor separation is bound to the knowledge of fragmentation functions leading to larger uncertainties 3
  • 4. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion D. De Florian et al., PRL101, 072001 (2008) There is an alternative! W production in proton-proton collision! 4
  • 5. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion D. De Florian et al., PRL101, 072001 (2008) Maximally parity-violating! Independent from Fragmentation Functions There is an alternative! W production in proton-proton collision! 5 W+ W dL ¯uR ¯dR uL
  • 6. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion D. De Florian et al., PRL101, 072001 (2008) There is an alternative! AL = 1 P N+ N N+ + N W production in proton-proton collision! 6 W+ W dL ¯uR ¯dR uL
  • 7. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion D. De Florian et al., PRL101, 072001 (2008) There is an alternative! W production in proton-proton collision! 7 AW + L = u(x1) ¯d(x2) + ¯d(x1)u(x2) u(x1) ¯d(x2) + ¯d(x1)u(x2) AW L = d(x1)¯u(x2) + ¯u(x1)d(x2) d(x1)¯u(x2) + ¯u(x1)d(x2)
  • 8. Francesca Giordano The proton spin puzzle quark spins gluon spins quark&gluon orbital motion D. De Florian et al., PRL101, 072001 (2008) There is an alternative! W production in proton-proton collision! 8
  • 9. Francesca Giordano Hadron-Hadron collider √s of 62 GeV, 200 GeV, 500 GeV RHIC 1 Identified Forward Hadrons in p +p at RHIC J.H. Lee for Collaboration BNL April 27, DIS09, Madrid STAR PHENIX @ RHIC 9Francesca Giordano
  • 10. Francesca Giordano South Muon Tracker North Muon Tracker Proton Proton PHENIX IR µ e 10Francesca Giordano
  • 11. Francesca Giordano PHENIX Central Arms Central Arms: Tracking, Momentum and PID for: ★ charged and neutral hadrons ★ direct photons ★ e+ e- |⌘| < 0.35 Forward Arms 1.2 < |⌘| < 2.4 Tracking, Momentum and PID for e± 11 Tracking and Momentum for µ± ~pp ! W± ! e± ⌫ ~pp ! W± ! µ± ⌫
  • 12. Francesca Giordano Phenix 500 Gev Runs W production in proton-proton collision at 500 (510) GeV High Longitudinal Polarization (up to 56%) Total luminosity: 300 pb-1 Central arms: - Results being finalized Forward Arms: - Preliminary results on 2011 and 2012 data - 2013 data preliminary New! 12
  • 13. Francesca Giordano 13 Decay lepton kinematics Pythia ll ? d ¯d¯u u Forward ForwardBackward Backward
  • 14. Francesca Giordano Jacobian peaks at central rapidities! Suppressed/no Jacobian peaks at forward rapidities! 14 Decay lepton kinematics
  • 15. Francesca Giordano W asymmetries in central rapidities 15
  • 16. Francesca Giordano W decay at central rapidities Jacobian peaks visible! Analysis strategy: 1. Reduce background as much as possible 2. Extract the Bg shape then fit the whole spectrum together with a signal shape 3. Evaluate asymmetries 16 W+W-
  • 17. Francesca Giordano W decay at central rapidities Jacobian peaks visible! Analysis strategy: 1. Reduce background as much as possible Background 4/29/2014 PHENIX W->e | Ciprian Gal 6 • Reducible Backgrounds: – Photons from neutral pion/eta decays followed by e± pair production – Cosmic rays – Beam related backgrounds • Irreducible Backgrounds – Z decays – Charm, bottom decays – Other W decays ative isolation cut und discriminator ne of R=0.4 divided he candidate background reduced by a factor 10! Main background discriminator: Relative isolation cut: energy in a cone (R=0.4rad) not from the candidate electron < 10% 17 Background sources: 1. e±-pair production by 𝛑0 /ỷ decay photons 2. cosmic rays 3. background from beams 4. Z/charm-bottom decays/other W decays
  • 18. Francesca Giordano W decay at central rapidities Jacobian peaks visible! Analysis strategy: 1. Reduce background as much as possible 2. Extract the Bg shape then fit the whole spectrum together with a signal shape uses the low pT (background dominated) spectra used to define the shape of the background 18 Assumption 1: background shape does not change at higher pT Assumption 2: smooth curve to describe background Gaussian process regression extrapolate the expected bg shape and uncertainty in the higher pT region Gaussian Process Regression 4/29/2014 PHENIX W->e | Ciprian Gal 11 • Use background control region to get a shape • The GPR will give a background contribution and uncertainty • A cross check of the method has been performed with a classic functional form showing good agreement Gaussian Process Regression 4/29/2014 PHENIX W->e | Ciprian Gal 11 • Use background control region to get a shape • The GPR will give a background contribution and uncertainty • A cross check of the method has been performed with a classic functional form showing good agreement
  • 19. Francesca Giordano W decay at central rapidities Jacobian peaks visible! Analysis strategy: 1. Reduce background as much as possible 2. Extract the Bg shape then fit the whole spectrum together with a signal shape 19 Fit the extracted bg shape + signal W+W-
  • 20. Francesca Giordano W decay at central rapidities Jacobian peaks visible! Analysis strategy: 1. Reduce background as much as possible 2. Extract the Bg shape then fit the whole spectrum together with a signal shape 3. Evaluate asymmetries Asymmetries all data • Run 13 results were separated into two eta bins • Run 09/11/12 data all combined into one single measurement • Overall consistency with the theoretical predictions Good agreement with prediction 2009+2011+2012 2013 Final results will be submitted soon 20
  • 21. Francesca Giordano W asymmetries in forward rapidities 21
  • 22. Francesca GiordanoFigure 1.2: Top plots: Real muon cross sections for positive (left) and negative (right) muons tions and Analysis Variables MC simulations of signal and ba 22 W decay at forward rapidities Large Background ! Muon cross-section dominated by W only at high pT! Pythia W+W-
  • 23. Francesca Giordano 3 types of Backgrounds: 1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan Background from other than W muon sources only part of the story! Figure 1.2: Top plots: Real muon cross sections for positive (left) and negative (right) muons tions and Analysis Variables MC simulations of signal and ba 23 W decay at forward rapidities Pythia W+W-
  • 24. Francesca Giordano 3 types of Backgrounds: 1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan 2. Punch-through Hadrons: from W and other sources - in principle at low pT, but muon arms have large momentum smearing ! Background from other than W muon sources only part of the story! MC simulations of signal and backgrounds Simulations and Analysis Variables Figure 1.3: Top plots: Hadronic cross sections for positive (left) and negative (right)hadrons MC simulations of signal and backgrounds Simulations and Analysis Va 24 Pythia W decay at forward rapidities
  • 25. Francesca Giordano 3. Fake high-pT muons 3 types of Backgrounds: 1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan 2. Punch-through Hadrons: from W and other sources - in principle at low pT, but muon arms have large momentum smearing ! Background from other than W muon sources only part of the story! 25 W decay at forward rapidities
  • 26. Francesca Giordano 3. Fake high-pT muons 3 types of Backgrounds: 1. Muon background: open-heavy flavor decay, quarkonia, Drell-Yan 2. Punch-through Hadrons: from W and other sources - in principle at low pT, but muon arms have large momentum smearing ! Background from other than W muon sources only part of the story! MC simulations of signal and backgrounds Simulations and Analysis Variables Total background, accounting for all sources and smearing: 26 W decay at forward rapidities W+W-
  • 27. Francesca Giordano Analysis strategy: 1. Muon Trigger upgrade 2. Reduce background as much as possible 3. Estimate signal-to-background ratio 4. Evaluate asymmetries MC simulations of signal and backgrounds Simulations and Analysis Variables Total background, accounting for all sources and smearing: W- W+ 27 W decay at forward rapidities
  • 28. Francesca Giordano Phenix Forward Upgrade PYTHIA W old trigger 28 Phenix upgraded the existing muon arms for a dedicated muon-from-W trigger!
  • 29. Francesca Giordano Phenix Forward Upgrade 29 MuTracker FEE upgrades 1. Add momentum info in the trigger TOP view Reject muons with momentum <15 GeV Phenix upgraded the existing muon arms for a dedicated muon-from-W trigger! Add precise timing information 1. to reject out of time background 2. to correlate events with beam polarization 1 beamclock! 2. Addition of 4 new RPC stations Signal Bg from beams FVTX
  • 30. Francesca Giordano Definining the W-ness of an event Signal likelihood based on probability density functions from simulated W events Wness = signal signal + bg yields for negativemuon candidates as a function of the kinematic = [p(DG0, DDG0), p(DCA), p( 2 ), p(RPC DCA), p(FV TX match), p(FTV X cone)] 30 Background likelihood based on pdfs from bg-dominated data (signal < 1%) Unlikely a W-event Very likely a W-event
  • 31. Francesca Giordano Definining the W-ness of an event W likelihood ratio extraction and background estimation Data Analysis High-efficiency cut parameter! Signal likelihood based on probability density functions from simulated W events Background likelihood based on pdfs from bg-dominated data (signal < 1%) Wness = signal signal + bg = [p(DG0, DDG0), p(DCA), p( 2 ), p(RPC DCA), p(FV TX match), p(FTV X cone)] 31
  • 32. Francesca Giordano Definining the W-ness of an event Signal likelihood based on probability density functions from simulated W events Background likelihood based on pdfs from bg-dominated data (signal < 1%) Wness = signal signal + bg = [p(DG0, DDG0), p(DCA), p( 2 ), p(RPC DCA), p(FV TX match), p(FTV X cone)] 32 Cut chosen: Wness > 0.99 fixed looking at the FOM of uncertainties (stat+sys) for the final asymmetries
  • 33. Francesca Giordano Extraction of the Sig/Bg ratio via an Extended Unbinned, 2-D, Maximum-Likelihood fit (2D EUMLF) pseudorapidity ỷ effective bending dw23 (Independent from the variables used in the wness estimation) 33
  • 34. Francesca Giordano Extraction of the Sig/Bg ratio 34 via an Extended Unbinned, 2-D, Maximum-Likelihood fit (2D EUMLF) parameters fixed for W from Simulation for Hadron bg & Fake muons extrapolated from bg-dominated data (low-wness) for Muon bg from Simulation dw23ỷ
  • 35. Francesca Giordano Extraction of the Sig/Bg ratio Sig/Bg ratio from 30% to 50%, depending on Phenix arm/muon charge/ỷ region 35 via an Extended Unbinned, 2-D, Maximum-Likelihood fit (2D EUMLF)
  • 36. Francesca Giordano W cross-section Consistent with prediction within the large uncertainties 36
  • 37. Francesca Giordano W cross-section: systematics 37 About 20% charge misidentification Momentum smearing Muon bg estimate 2D-EUMLF accuracy (tested with MC inputs) Major contributions: Trigger efficiency All uncertainties propagated to the asymmetries via sig/bg fit uncertainty
  • 38. Francesca Giordano Single Spin Asymmetries Background AL consistent with 0 Background treated as a dilution in the measured AL 38 AL = 1 P N+ N N+ + N
  • 39. Francesca Giordano Single Spin Asymmetries AL = 1 P N+ N N+ + N 39 Phenix AL for W+ decay leptons appear to be consistent with prediction at center and forward rapidities At backward rapidities AL seems to be positive/consistent with zero (similarly to the AL observed from STAR for positive electrons AL) Phenix AL for W- decay leptons are qualitatively consistent with predictions
  • 40. Francesca Giordano Summary About 300 pb-1 at 500 GeV collected at Phenix for W!l𝜈 All data analyzed 40 W!e+- in central rapidities: final results and paper in advance stage,will be submitted soon W!µ+- in forward rapidities: preliminary results for run 2013 presented here for the first time Work in progress to reduce systematics: - improve signal to background extraction - new data production to correct for known momentum smearing and improve the charge reconstruction Thank you!
  • 41. Francesca Giordano Single Spin Asymmetries AL = 1 P N+ N N+ + N 41 Results from 2013 data compatible with previous results (2012 data)
  • 42. Francesca Giordano Single Spin Asymmetries ỷ dependence: Large uncertainties, similar conclusions 42 Phenix AL for W+ decay leptons appear to be consistent with prediction at center and forward rapidities At backward rapidities AL seems to be positive/consistent with zero (similarly to the AL observed from STAR for positive electrons AL) Phenix AL for W- decay leptons are qualitatively consistent with predictions AL = 1 P N+ N N+ + N