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Aug 20, 2018

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M u l t i - n u c l e o n e f f e c t s ( 2 p 2 h ) p a r a m e t e r s

• Interaction in which more than one nucleon participate. • Pion-less Delta Decay (PDD-like) and N-N Correlation (non-

PDD-like) • Introduced shape parameters in addition to normalization

• +1 corresponds to fully PDD-like • -1 corresponds to fully non-PDD-like

8

Pair Correlation

Delta absorption

preliminary

M u l t i - n u c l e o n e f f e c t s ( 2 p 2 h ) p a r a m e t e r s

• Interaction in which more than one nucleon participate. • Pion-less Delta Decay (PDD-like) and N-N Correlation (non-

PDD-like) • Introduced shape parameters in addition to normalization

• +1 corresponds to fully PDD-like • -1 corresponds to fully non-PDD-like

8

Pair Correlation

Delta absorption

preliminary

HF%@+U+1=*+%h%@=Q+4& ABIi

Marco Del Tutto 26th September 2017

10

CC0! InteractionsNuclear Effects

! Final state is different from the “traditional quasi-elastic final state” with 1!1p

! Need a detector that can resolve hadrons: can be done in LAr

!

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p

p

n n

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RES nucleonic state

!

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M u l t i - n u c l e o n e f f e c t s ( 2 p 2 h ) p a r a m e t e r s

• Interaction in which more than one nucleon participate. • Pion-less Delta Decay (PDD-like) and N-N Correlation (non-

PDD-like) • Introduced shape parameters in addition to normalization

• +1 corresponds to fully PDD-like • -1 corresponds to fully non-PDD-like

8

Pair Correlation

Delta absorption

preliminary

HF%@+U+1=*+%h%@=Q+4& ABIi

PBB%T)O%6,+-%+&%8)+U

CAH

!e Systematics69 A. Radovic, JETP January 2018

Signal uncertainty (%)20! 10! 0 10 20

Statistical error

Total syst. error

Extrapolation

Detector Response

Beam

Calibration

Normalization

Cross Sections"

Background uncertainty (%)30! 20! 10! 0 10 20 30

Statistical error

Total syst. error

Beam

Extrapolation

Detector Response

Normalization

Calibration

Cross Sections"

• As in !µ systematics were assessed by generating sets of shifted MC. • Those shifted datasets were used instead of our nominal MC to assess the impact on

our final result.

!" Systematics43 A. Radovic, JETP January 2018

• Systematics were assessed by generating sets of shifted MC. • Those shifted datasets were used instead of our nominal MC to assess the impact on our final result.

)-310! (23"2Uncertainty on sin50# 0 50

Statistical error

Total syst. errorCP$Value of

Scintillation Model

ScaleµRel. ENeutrino Flux

Rel. Calibration

ScaleµAbs. ENormalization

Cross SectionsAbs. Calibration

)2 eV-310! (232m"Uncertainty on

0.05# 0 0.05Statistical error

Total syst. error

ScaleµRel. ENeutrino Flux

Scintillation Model

ScaleµAbs. ENormalization

CP$Value of Cross Sections

Rel. CalibrationAbs. Calibration

;F%<+3!2,4?%Q@;e%]^CY%]+"%ABIK

• Continue to tune MEC to match the excess in our data, now fit using default empirical MEC’s* model for energy transfer to the hadronic system (q0).

• QE RPA from the Valencia group via Richard Gran** now included in central value tune. • New MEC and RPA uncertainties that better capture limits of theory & data constraints.

Retuned Interaction Modeling25 A. Radovic, JETP January 2018

* “Meson Exchange Current (MEC) Models in Neutrino Interaction Generators”, Teppei Katori, NuInt12 Proceedings, arXiv:1304.6014! ** “Model uncertainties for Valencia RPA effect for MINERvA”, Richard Gran, FERMILAB-FN-1030-ND, arXiv:1705.02932

;F%<+3!2,4?%Q@;e%]^CY%]+"%ABIK

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Marco Del Tutto 26th September 2017

53

MicroBooNE Current EffortsParticle multiplicity

observed multiplicity1 2 3 4 5 6

even

t fra

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n

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0.2

0.3

0.4

0.5

0.6

0.7

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MC with MEC

MC with TEM

MicroBooNE Preliminary

>82 MeVp>37 MeV,KE!,µKE

(Includes muons)

area normalized

Observed Charged Particle Tracks in Neutrino Interactions

Figure 14: A bin-by-bin fitted, area normalized, CR background-subtracted, observed neutrino multiplicitydistributions for MicroBooNE data overlaid with three GENIE predictions in linear scale. Data error barsinclude statistical errors obtained from the fit. Monte Carlo error bands include MC statistical errors fromthe fit and systematic error contributions added in quadrature.

observed multiplicity1 2 3 4 5 6

even

t fra

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1 MicroBooNE Data (stat only)

MC Default (stat+syst. errors)

MC with MEC

MC with TEM

MicroBooNE Preliminary

>82 MeVp>37 MeV,KE",µKE

(Includes muons)

area normalized

Observed Charged Particle Tracks in Neutrino Interactions

Figure 15: A bin-by-bin fitted, area normalized, CR background-subtracted, observed neutrino multiplicitydistributions for MicroBooNE data overlaid with three GENIE predictions in log y scale. Data error barsinclude statistical errors obtained from the fit. Monte Carlo error bands include MC statistical errors fromthe fit and systematic error contributions added in quadrature.

23

MICROBOONE-NOTE-1024-PUB

Future: improve statistics and lower threshold per particle type

Muon is included in bin 1

Observed multiplicity after event selection, no efficiency correction

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67&8*%9*+1&:;6< !"#$%&'()*+,*%-H&J"90+$%2&=%0"+*(0$2%/ QQ

2 (GeV/c)2Q0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8

)12

/C2/(G

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(cm

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A%MINER3.04E+20 POT

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L. Cremonesi “Cross-sections at NOvA ND”

NC Coherent !0

24

• Renormalised background using energy and angle 2D space. • Measured flux-averaged cross-section using background subtraction: ! = 14.0 ± 0.9(stat.) ± 2.1(syst.)x10-40cm2/nucleus• Total uncertainty 16.7%, systematic dominant

Measurements scaled to 12C by A2/3

L. Cremonesi “Cross-sections at NOvA ND”

NC Coherent !0

23

• Fit the backgrounds to control sample data in !0 energy vs angle 2D space.

• Background fit result are applied to the backgrounds in the signal sample.

@!&)%&.+&%Tg@^<2; -))-%&.)%-,1,#+*%-.,7&%&!%7!*'+*3%2 ,"%

4.+*()3%4=**)"&/D. Hongyue, D. Pershey, FNAL JTEP Dec 2017

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(rads)T!"0.0 0.5 1.0 1.5 2.0 2.5 3.0

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Result =106.592%NEUT 5.3.2.2 SF,

=88.432%NEUT 5.3.2.2 RFG+RPA, =43.192%NuWro 11 LFG,

=37.442%GENIE 2.12.4 RFG, =29.942%GiBUU 2016,

T2K Preliminary

(GeV/c)T

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Result=112.252$NEUT 5.3.2.2 SF,

=124.822$NEUT 5.3.2.2 RFG+RPA, =60.912$NuWro 11 LFG,

=46.002$GENIE 2.12.4 RFG, =34.802$GiBUU 2016,

T2K Preliminary

!" CC0# with single transverse variables

20Ciro Riccio, Naples U. & INFN | NUFACT2017

(rads)T!"

0.0 0.5 1.0 1.5 2.0 2.5 3.0

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Result=104.622%NEUT 5.3.2.2 SF,

=111.552%NEUT 5.3.2.2 RFG+RPA, =67.552%NuWro 11 LFG,

=98.282%GENIE 2.12.4 RFG, =12.252%GiBUU 2016,

T2K Preliminary

GENIE shape in first bin of each STV related to FSI model (“hA”)

Result =106.592NEUT 5.3.2.2 SF,

T2K Preliminary

Publication in preparation!

GIBUU with very different FSI seems close to data

Data strongly disfavor RFG in favor of LFG and Spectral Function

? >9++"%0&(2LA*+$/2%/&5*#"&$%$0$*,&/0*0"&*%-&3$%*,&/0*0"&"33"(0/&02B"05"+&32+&-$33"+"%0&L2-",/F

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10

CC0! InteractionsNuclear Effects

! Final state is different from the “traditional quasi-elastic final state” with 1!1p

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16 January 2018 Kevin McFarland: Neutrino Interactions 59

? Tune model to fill in dip region between QE & ^.

? This tune from neutrino data also agrees with antineutrino data!

hG 2-F%hF

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Cheryl Patrick, UCL / Northwestern

Double-differential cross section - neutrino mode

27

!

GENIE 2.8.4 with MINERvA tune (RPA, 2p2h)

MINERvA Data

GENIE 2.8.4 (out of the box)

(Remember this was tuned to neutrino-mode data)

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Cheryl Patrick, UCL / Northwestern

Double-differential cross section - antineutrino mode

28

MINERvA-tuned GENIE (RPA & 2p2h)

MINERvA Data

Standard GENIE 2.8.4

GENIE + RPA

GENIE + tuned 2p2h

GENIE + RPA+ untuned 2p2h

! Applying the tuning to !" mode also improves fit ! Untrackable neutrons in final state make this more

challenging ! Additional uncertainty evaluated based on whether

additional strength is from np or nn initial states

Cheryl Patrick, UCL / Northwestern

Double-differential cross section - antineutrino mode

28

!"

MINERvA-tuned GENIE (RPA & 2p2h)

MINERvA Data

Standard GENIE 2.8.4

GENIE + RPA

GENIE + tuned 2p2h

GENIE + RPA+ untuned 2p2h

! Applying the tuning to !" mode also improves fit ! Untrackable neutrons in final state make this more

challenging ! Additional uncertainty evaluated based on whether

additional strength is from np or nn initial states

Page 64: Interactions Seminar 2018 - Kavli IPMU-カブリ数物連 …research.ipmu.jp/seminar/sysimg/seminar/2021.pdf · */&$%&G:!&*%-&N1A"+!F 67&8*%9 ... (,"2%a:A:5d&"33"(0&$/&,*+B"&"#"%&*0&5$B5"+&"%"+B$"/?

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Vertex energy

32

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Cheryl Patrick, UCL / Northwestern

Vertex energy: 2017

31

!!"

The tuned GENIE does a much better job of modelling this distribution, but is there more we can learn?

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MINOS sees this too...

Muon neutrino CC inclusive

Tuning procedure was not allowed to change energy scale or focusing parameters here. Just hadron production parameters. Dip remains.

Plots from Anna Holin

Tg@^<2;

Tg@db

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Physics Motivation

More Event Displays

6

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with neutron candidates.

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E�ciency increases with Q2ccqe as

energetic neutrons are more prone tokick out energetic protons.

More energetic protons leave longertracks

Thus more likely to be 3D

14

Plots

Preliminary Plots

Plots of the angular variables juxtaposing MC and data

✓C , ordinary cut vs ordinary cut + 2013 recoil cut

20