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PVDIS at JLab 6 GeV - PowerPoint Presentation

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PVDIS at JLab 6 GeV - PPT Presentation

Robert Michaels Jefferson Lab On Behalf of the HAPPEX Collaboration Acknowledgement Talk prepared by Kai Pan MIT graduate student ID: 626543

asymmetry data beam analysis data asymmetry analysis beam gev simulation daq pvdis standard electron parity target electroweak experiment model

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Slide1

PVDIS at JLab 6 GeV

Robert Michaels

Jefferson Lab

On Behalf

of

the HAPPEX

Collaboration

Acknowledgement:

Talk prepared by Kai Pan (MIT graduate student)

Parity Mini-Symposium, APS

Meeting

Apr 30 – May 3

,

2011

Slide2

Testing Electroweak Standard Model Standard Model is a successful theory. Data confirms the electroweak sector of the SM at a few 0.1%.

Deficiencies

of the Standard Model: mass origin, neutrino oscillation, matter antimatter asymmetry, hierarchy problem. People believe SM is only a piece of some larger framework, and try to find new physics beyond Standard Model.Direct Search: LHC, Tevatron, etc… (Higgs mechanism)Indirect Search: SLAC E158 (Moller), Atomic-PV, Sample, NuTeV, Qweak, PVDIS (Electroweak couplings or weak mixing angle)

Motivation #1Slide3

However, PVDIS 6GeV is NOT

to measure

θ

w, but the electroweak coupling constant combination.PVDISRunning of sin2θw

Testing Electroweak Standard ModelSlide4

Constrain the poorly known

coupling

constant combination (2C

2u-C2d)Motivation #2 Isosinglet target

D2

e (↑L)

D2

e (↓R)

VS

spin

(polarized beam,

unpolarized

target)

A =

σ

↑ -

σ

σ

↑ +

σ

PDF

Measurement so far not as precise as C

1q

DIS is a unique probe accessing C

2qSlide5

Constrain the poorly known coupling constant combination (2C

2u

-C

2d) 2C2u-C2d = -0.08 (+-)

0.24

Δ

(2C

2u

-C

2d

) =

0.06Slide6

Constrain the hadronic effect

Non-

perturbative

QCD (higher-twist) effectCharge Symmetry violation (equivalence of u,d quark distribution in proton and neutron)

Provide important guide on the future

PVDIS 12

GeV

upgrade, for which the ultimate goal is to extract electroweak coupling constant as well as sin

2

(

θ

w

) from the asymmetry

free from

hadronic

effects

.

Motivation

#

3Slide7

Section II: Jlab Hall A and PVDIS Experiment Setup

JLab

: Linear

accelerator provides continuous polarized electron beamEbeam = 6 GeVPbeam = 90%3 experimental halls (Hall A)Spokespersons: Xiaochao

Zheng

(

UVa

)

Bob Michaels (

JLab

)

Paul Reimer (Argonne)

Thesis

students:

Diancheng

Wang (

UVa

)

Xiaoyan

Deng (

UVa) Kai Pan (MIT)

Postdocs:

Zhiwen Zhao (

UVa) Ramesh

Subedi (UVa

, George Washington University)

A

B

CSlide8

H

igh

R

esolution Spectrometer (HRS)Beam Energy 6.067 GeV20 cm long liquid deuterium (LD

2

) target

100

uA

polarized beam with 90% beam polarization

Two kinematics

Q

2

=1.1(

GeV

)

2

; 12.9

0

; P

0

= 3.66

GeV

Q

2=1.9(GeV

)2 ; 20.00 ; P

0 = 2.63 GeV

X = 0.25 ~ 0.3

Top View

Side View

Jlab Hall A

Magnet Q, D

Magnet

Detector Hut

D1

Q1

Q2

Q3

Detector

Package

Run time: Oct – Dec 2009Slide9

Two DAQ Systems were used:

regular High Resolution Spectrometer (HRS) DAQ

Limitation: Max event taking rate is only 2KHz for each arm, which is far below the rate requirement in PVDIS.

Parity fast counting DAQ

Scaler

based (

fast

counting with very low

deadtime

)

Measured

scaler

counting rate is up to 500KHz for each arm

Hardware-based

Particle Identification (PID

)

Scalers

integrated over

helicity

periods, like an integration experiment.

PVDIS Experiment Setup

Useful for

simultaneous recording of

kinematics, efficiencies and

Particle Identification (PID)

analysis

NEWSlide10

Parity fast-counting scaler

DAQ (Hardware-based PID)

Preshower

Shower

a1

a2

a3

Ps

> a1

Ps +

Sh

> a2

GC

> a3

Discriminator

Scaler

Data

ANDingSlide11

Data Analysis Flow Chart

H

all

A Monte Carlo (HAMC)Hall A Trigger S

imulation (

HATS)

Section III: Data

Analysis Status

A

sim

Parity Data:

Pedestal subtraction

Beam linearity calibration

Selection of clean cut

Charge asymmetry analysis

Regression and dithering

A

exp

?

HRS

Parity

Track reconstruction

Beam polarization

Deadtime correction

Pion contaminaiton

Electron detection efficiency

Other correction

InputSlide12

1. Tracking reconstruction

DIS

asymmetry

is sensitive to Q^2, thus tracking reconstruction After calibration, asymmetry uncertainty due to Q^2 reconstruction is <1%Slide13

2. Beam Polarization A’ =

A

measure

/ Polarization Use Compton Polarimeter to measure the beam polarization up to 2% accuracy Moller Polarimeter

as a cross check (consistent)

P ~ 90% (+ -) 2%Slide14

3. Particle Identification Performance

Horizontal Acceptance

[m]

Electron detection efficiency

~97%

Pion

Rejection Factor

Horizontal Acceptance

[m]

Electron efficiency

97% 96% 95%

Pion

Rejection Factor

52 200 10e4

Lead glass Gas

Cherenkov

Overall

Lead Glass

Lead Glass

Asymmetry

correction due

to

electron efficiency <0.5%

pion

contamination <

0.1

%Slide15

Target

4. Simulation

Simulating experiment starting from initial beam to detector package (not included)

Incoming and scattered electron energy loss (ionization and

bremsstrahlung

)

DIS cross section and asymmetries are calculated by using world data fit (PDF)

Standard

Quadrupole

and Dipole magnet transportation functions

H

all

A M

onte

C

arlo (

HAMC

)Slide16

Target

4. Simulation

Simulating experiment starting from initial beam to detector package (not included)

Incoming and scattered electron energy loss (ionization and

bremsstrahlung

)

DIS cross section and asymmetries are calculated by using world data fit (PDF)

Standard

Quadrupole

and Dipole magnet transportation functions

H

all

A M

onte

C

arlo (

HAMC

)

Black: data

Red: simulation

ConsistentSlide17

4. SimulationSlide18

Target

4. Simulation

Simulating detector and DAQ response to the incoming physics events generated by HAMC

Deadtime

Simulation

A’ =

A

measure

(1-Deadtime)

Deadtime

data

is well understood. (consistent with the simulation)

1% (+ -)

0.2

% correction

on Asymmetry

H

all

A

T

rigger

Simulation (

HATS)

Credit:

Diancheng Wang

(Univ. Virginia graduate student)Slide19

5. Parity DAQ data analysis (Blinded raw asymmetry)

Arbitrary

shift (

blinding factor) on measured asymmetry to avoid analysis bias To do list before unblinding: Pedestal subtraction, BCM calibration, charge asymmetry analysis, selection of clean cut, regression and dithering correction, etc

B L I N D E D!

will provide a ~3% relative uncertainty compared to the simulation

90

ppm

will provide a ~4% relative uncertainty compared to the simulation

161

ppm

Online Asymmetries,

Q

2

=1.1 (

GeV

/C)

2

Q

2

=1.9 (

GeV

/C)

2

B L I N D E D!Slide20

Section IV: Summary and Outlook

Experiment will provide world highest-accuracy measurement on

(2C2u-C2d), improving the uncertainty by a factor of fourConstrain the hadronic effect, providing guidance for PVDIS 12 GeV upgrade Regular

HRS DAQ data analysis

is close

to being

finalized

Parity DAQ data analysis is

ongoing

Expected to

release

preliminary (

unblined

) asymmetry

by the end of this

summer (in time for PAVI-11 conference).

Physics Goal

Data Analysis Progress

Special thanks to :

Kai Pan,

Diancheng

Wang,

Xiaoyan

Deng (grad students)

Xiaochao

Zheng & Paul Reimer (co-spokespersons)