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MINOS Flux Determination Žarko Pavlović Pittsburgh, 12/07/12

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MINOS Flux Determination

Žarko Pavlović

Pittsburgh, 12/07/12

2

Outline

• Introduction

• MINOS experiment and NuMI beam

• Calculating flux and systematic errors

• Fitting the ND data (Beam tuning)

• Conclusion

3

Past neutrino experiments• Determining flux not easy

– Use MC simulation– Measure in the detector

using process with known x-section

• In past, experiments often applied corrections

• Large 10-30% uncertainty

4

Two detector experiments• Measure flux at Near Detector to infer flux at

Far• Need to calculate corrections (on top of R-2)

– For MINOS 20-30%

5

MINOS Experiment

• Two neutrino detectors• Fermilab’s NuMI

beamline• Verify υμ→υτ mixing

hypothesis • Measure precisely

∆m223

• Test if sin22θ23 maximal

735 km

• Two neutrino detectors• Fermilab’s NuMI beamline• Verify υμ→υτ mixing

hypothesis • Measure precisely ∆m2

23 • Test if sin22θ23 maximal

6

NuMI Neutrino Beamline

• 120 GeV protons hit graphite target

TargetHorns

Decay PipeAbsorber

Hadron Monitor

Muon Monitors

Rock10 m 30 m675 m

5 m 12 m 18 m

π, Kp

Target

7

NuMI Neutrino Beamline

• Two magnetic horns focus positive π & K

• Parabolic Horn focal length:

TargetHorns

Decay PipeAbsorber

Hadron Monitor

Muon Monitors

Rock

π+

10 m 30 m675 m

5 m 12 m 18 m

pIa

f0

2

µπ≈

π-

2nd horn

8

Neutrino Beamline

• Mesons decay in flight in decay pipe• Beam composition (LE10/185kA):

– 92.9% υμ – 5.8% υμ – 1.3% υe / υe

νμTarget

HornsDecay Pipe

Absorber

Hadron Monitor

Muon Monitors

Rock

μ+π+

10 m 30 m675 m

5 m 12 m 18 m

12/06/12

MINOS Detectors

• Near Detector:– 1 km from target– 1 kton– 282 steel and 153

scintillator planes– Magnetized B~1.3T

Coil

• Far Detector:– 735 km from target– 5.4 kton– 484 steel/scintillator

planes– Magnetized B~1.3T

Near Detector

Far Detector

12/06/12

Variable energy beam

5 GeV π +

20 GeV π+

tan(θ) ≈ <pT>/pz = rHorn / tgtL

Eν ~ pZ ~ tgtL

Low energy

5 GeV π +

20 GeV π +

12/06/12

Variable energy beam

5 GeV π +

20 GeV π +

tan(θ) ≈ <pT>/pz = rHorn / tgtL

Eν ~ pZ ~ tgtL

tgtL

High energy

12

Near and Far Spectra

• Flux at Near and Far detector not the same

• Neutrino energy depends on angle w.r.t parent momentum

θ f

to FarDetector

Decay Pipe

π +

π +(soft)

(stiff)

θ n

target

ND

221

43.0

θγπ

ν += E

E

p

Flux∝1

L2 1

12

2 2

12/06/12

Far/Near ratio

• 20-30% correction on top of R-2 for ND at 1km

• For ND at 7km corrections at 2% level

12/06/12

Study of Beam systematics

• Non-hadron production1. Proton beam2. Secondary focusing modelling3. MC geometry

• Hadron Production

NB: Much of the inputs backed up with beamline instrumentation

12/06/12

1. Proton Beam

• Beam position and width can change the neutrino flux:– protons

missing the target

– reinteractions in target

• Use profile monitor measurements to correct MC

Proton Batch Position (mm)

figure courtesy M. Bishai

12/06/12

2. Modelling of Focusing

• Also studied: Horn current miscalibration, skin depth, horn transverse misalignment, horn angle

17

Focusing uncertainties

• Misalignments & miscalibrations

• Input from beamline instrumentation

• Affects falling edge of the peak

Focu

sing

pea

k

18

Hadron production

• Proton beam momentum

• Target material

• Thick target

19

Thick-Target Effects• Hadron

production data largely from ‘thin’ targets.

• Particles are created from reinteractions in NuMI target.

• Approx 30% of yield at NuMI p0=120 GeV/c

MiniB

ooNE

NuMICNGS

J-PARC

Fluka 2005

20

Cascade models

• Variation in calculated flux depending on the cascade model

• Indicates ~8% uncertainty in peak and ~15% in high energy tail

12/06/12

Underlying Hadron Production

• Different beams access regions of π ’s (xF,pT) off the target.

• Models disagree on these distributions

• Use variable beam configurations to map this out.

LE010/185kA LE100/200kA LE250/200kA

12/7/12

Hadron Production

• Same pT-xF bin contributes differently to different beams

LE010/185kA

LE100/200kA

LE250/200kA

LE010/185kA

LE100/200kA

LE250/200kA

LE010/185kA

LE100/200kA

LE250/200kA

23

MC tuning

• Adjust the yields of π± and K±

• Include focusing uncertainties

• Allow that some discrepancy is due to detector effects or neutrino cross sections

LE010/185kA

LE100/200kA

LE250/200lA

24

Hadron production parameterization

• Adjust yields as a function of pt-pz

• Parameterize fluka yields using 16 parameters

[ ]{ } 2/3)(2

)()( TF pxCTFF

TF

epxBxAdpdx

Nd −+=

25

Tuning MC• Fit ND data from all beam

configurations

• Simultaneously fit νμ and νμ spectraυμ LE010/185kALE010/185kA LE100/200kA LE250/200kA

26

Pion weights• Re-weight MC

based on pT-xF

• Include in fit: Horn focusing, beam misalignments, neutrino energy scale, cross section, NC background

Weights applied vs pz & pT

27

π+/π- ratio• Best fit to νμ and νμ changes the π+/π- ratio• Good agreement with NA49 data and MIPP

28

Far/Near Ratio

• Fits to ND data constrain the F/N ratio

• Errors are at <2% level

29

MINOS Systematic Errors• Systematic errors from 2011 analysis

(7.25e20 POT)

• Beam uncertainty small

Phys.Rev.Lett.106:181801,2011

30

Offaxis neutrino beam

MiniBooNE

diagram not to scale!

K+π +stopped K+

stopped π +

E≃

1−m

2

M , K2 E , K

122

31

Two views of the same decays• Decays of hadrons produce neutrinos that strike both MINOS and

MiniBooNE• Parent hadrons ‘sculpted’ by the two detectors’ acceptances.• Plotted are pT and p|| of hadrons which contribute neutrinos to MINOS

(contours) or MiniBooNE (color scale)

MINOS

MiniBooNE MINOS

MiniBooNE

32

NumiBooNE

• Good agreement between data and MC

33

NuMI μ monitors

π ’s µ ’s

ν’s

µMon 1Eµ,π >4.2GeVΕν>1.8GeVc

µMon 2Eµ,π >11GeVΕν>4.7GeV

µMon 3Eµ,π >21GeV

Εν>9GeV

µMon 1

µMon 3

µMon 2

MCMC

• 3 arrays of ionization chambers

34

Pion parentsP

are

nt pT (

Ge

V/ c

)

Parent pz (GeV/c)

µMonitor 1

µMonitor 2

µMonitor 3

35

Fit to muon monitors

• Consistent with ND fits

L. Loiacono, thesis (2010)

36

Conclusion

• MINOS tunes hadron production to simultaneously fit all ND data

• Technique independent of particle production experiments

• Beam systematics well constrained

37

Backup

38

F/N focusing uncertainties

• F/N ratio affected at 2% level

12/06/12

Predicting far spectrum

• Construct beam matrix using MC

• Use Near Detector data to predict the “unoscillated” spectrum at the Far detector

X

=

Courtesy M. Messier

Courtesy T. Vahle