Data Analysis (ODU) and Simulations (J. Udias, Madrid)

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Data Analysis (ODU) and Simulations (J. Udias, Madrid). Outline Introduction Hall A and Electron Scattering Experiment Goals and Kinematics Setup Data Analysis Good Runs, Target Foils, TOF, Acceptance Comparing to Previous Work R-Function and Results Summary and What’s Next?. - PowerPoint PPT Presentation

Transcript of Data Analysis (ODU) and Simulations (J. Udias, Madrid)

Page 1: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)
Page 2: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Data Analysis (ODU) and Simulations (J. Udias, Madrid)

Page 3: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Outline• Introduction

– Hall A and Electron Scattering

• Experiment

– Goals and Kinematics Setup

• Data Analysis

– Good Runs, Target Foils, TOF, Acceptance

– Comparing to Previous Work

– R-Function and Results

•Summary and What’s Next?

Page 4: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

HallHall A A

TargetTarget

HRS-L HRS-R

HRS = High ResolutionSpectrometer

Mom Resolution Mom Accpt

1 x 10-4

± 4.5%

Solid Angle 6 msr

Angular Range(in degree)

12.5 – 150 (L)12.5 – 130 (R)

Angular Accpt ± 30 mr (ver)± 60 mr (hor)

Angular Resolution

1 mr ( ver)0.5 mr (hor)

TOF Resolution 1 ns FWHM

Page 5: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

dd

Electron-Nucleus Interactions

Three cases: Low q

– Photon wavelength larger than the nucleon size (RN)

Medium q: 0.2 < q < 1 GeV/c ~ RN

– Nucleons resolvable High q: q > 1 GeV/c

< RN

– Nucleon structure resolvable

Select spatial resolution and excitation energy independently• Photon energy determines excitation energy• Photon momentum q determines spatial resolution hbar/q

Energy vs Spatial Resolution

Page 6: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Diagram of A(e,e’p)

Missing Energy:

Missing Momentum:

Em = - Tp – TR

pm = q – p’

4-vector transferred mom:

Invariant :

Q2 = 4EiEf sin2(e/2)

Page 7: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Outline

• Introduction– Hall A and Electron Scattering

• Experiment– Goals and Kinematics Setup

• Data Analysis– Good Runs, Target Foils, TOF, Acceptance– Comparing to Previous Work– R-Function and Results

• Summary and What’s Next?

Page 8: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Goals of E00102 Measurement of cross-section, RLT and ALT

for the 16O(e,e’p) reaction with higher precision and to higher missing momentum than in E89003.

Determine the limit of validity of the single-particle model of valence proton knock-out.

Determine effects of relativity and spinor distortion on valence proton knock-out using the diffractive character of the ALT symmetry.

Determine bound-state wave function and spectroscopic factors for valence proton knockout.

Page 9: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

E00102 Setup

Ebeam = 4.620 GeV Mom central: 1.067 GeV/c (proton)

and 4.120 GeV/c (electron) Mom transfer, |q| = 1.073 GeV/c

Energy transfer, = 0.499 GeV Q2 = 0.902 (GeV/c)2

e = 12.50o (fixed) 28.3o < p < 96.2

o (+/- kins) 0 < Em < 0.240 GeV -0.515 < pm < 0.755 GeV/c

Page 10: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Kin Settings• 9 “Negative” Kins• 11 “Positive” Kins • 1 Parallel Kin

Statistics • Total : 1743 runs• Good (77%)• Fixable (4%) • Calibration (6%) • Bad Runs (13%)

E00102 Kinematics

+

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Page 12: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

mm

mm

28o – 96o

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• Introduction– Hall A and Electron Scattering

• Experiment– Goals and Kinematics Setup

• Data Analysis– Good Runs, Target Foils, TOF,

Acceptance– Comparing to Previous Work– R-Function and Results

• Summary and What’s Next?

Outline

Page 14: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Good Runs

coll open

coll 6msr

Fixable

Bad Runs

T1/T3

RUNNO

T1 = Proton RatesT3 = Electron Rates

Determining “Good” Runs For Kin AA+

Page 15: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Uncut CTOF cut

How We Handle Targets Kin AA+

Foil 1

Foil 2

Foil 3

Page 16: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Time of Flight : Kin AA- (1531)

1 32

Region A

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Missing Energy Spectra : Kin AA- (1531)

True = Real – 2 Accidental (1+ 3)

Events

1P1/2

1P3/2

Mistiming factor

Page 18: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

1P1/2 Relative Cross SectionComparing to Previous Results*

• Determination of 1P1/2 cross section relative to H(e,e’)

* M. Anderson, Licentiate Thesis October 2005

Previous Work This Work

Pm Range

0 < Pm < 350 MeV Same

Kins A+, C+, D+, E+, F+ A± and D±

Bin Size Pm: 2 MeV/c (A-D) 4MeV/c (E-F)

Pm: 2 MeV/cEm: 0.5 MeV

Accpt cuts

: ±50 mr, : ±50 mr: ±3.5%

: ±50 mr, : ±25 mr: ±3.5%

Unc. 7% (stat) and 5%(syst) 7% (stat)

Only used central target foils !

Page 19: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Relative Cross Section• Cross Section :

16O(e,e’p) :

H(e,e’) :

• Relative Cross Section :

No L !

Page 20: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Data

• Replayed good runs • Implemented energy loss correction • Studied CTOF, zreact, acceptances, Emiss, Pmiss, mistiming factor correction, etc.

• Applied angular cuts : (±50 mr) and (±25 mr)

• Applied momentum cuts : (±3.5%)• Applied background subtraction.

Page 21: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Simulation

• Bound states physics models – calculated by Madrid Group.

• Spectrometer models – ON, radiative effects – ON, and energy loss correction – OFF

• Use the same acceptance values (,,and ) as in data.

• Use target configuration that built into the MCEEP.

Page 22: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Recipe relative for 1P1/2

1. Apply cuts on tg, tg, zreact, CTOF (Region A), and Emiss.

2. Subtract CTOF background bin-by-bin.

3. Apply mistiming correction factor4. Normalize to 1H(e,e’)luminosity5. Normalize to MC phase-space6. Divide each data point by pmiss

bin width

Page 23: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

relative for 1P1/2 (Central

Foils)

Pmiss (MeV/c) dhfkjklll

Previous Work

Page 24: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Pmiss (MeV/c)

AA+

DD+

AA-

DD-

relative for 1P1/2 (Central

Foils) This Work

Page 25: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

R-FunctionMaximize Event Acceptance

Determine nominal acceptance boundaries (tg, tg, ) for each HRS.

R-function measures distance (+/-) to boundary of each trajectory : 1. R < 0.0 outside 2. R >= 0.0 inside

Choose cut to make on R a. where we understand the acceptance b. Maximize it

tg

tg

R-arm Kin AA- (1531)

Page 26: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

R-Functions of Kin AA+ (1315)

Red (Data) and Blue (Simulation)

L-Arm R-Arm

Page 27: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Where to R-Function Cuts? (Kin AA+)L-Arm R-Arm

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Value of R-Function Cuts

Next plots four different conditions of R-cut are used:1. No R-cut (uncut)2. R > 0.03. R > 0.0054. R > 0.01

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Uncut R > 0.0 R > 0.005 R > 0.01

L-Arm Acceptance with 3-foils : Kin AA+

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R-Arm Acceptance with 3-foils : Kin AA+Uncut R > 0.0 R > 0.005 R > 0.01

Page 31: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Missing Momentum : Kin DD+ (1497)

R > 0.005 R > 0.01R > 0.01R > 0.005

R > 0.0Uncut

Page 32: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Outline

• Introduction– Hall A and Electron Scattering

• Experiment– Goals and Kinematics Setup

• Data Analysis– Good Runs, Target Foils, TOF, Acceptance– Comparing to Previous Work– R-Function and Results

• Summary and What’s Next?

Page 33: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

Summary and What’s Next?

Intensive studies to understand both data and simulation has been performed. Treatment for both data and simulation is better understood.

All three foils cut would be used (previous work only used the central foils).

R-function is now better understood and will be implemented as the acceptance cut for both data and simulations.

Ready to replay to all different sets of kinematics and ready to fix/save runs (to gain better statistics).

Plan to perform the reduced cross section and make plots of red versus pmiss for available replayed runs in each kinematics.

Page 34: Data Analysis  (ODU) and  Simulations  (J. Udias, Madrid)

THANK YOU,ANY QUESTION ?