SAND-DUNE: Simulations and reconstruction€¦ · SAND-DUNE: Simulations and reconstruction...

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SAND-DUNE: Simulations and reconstruction DUNE-doc-13262 4/9/2019 1 SAND: Solenoid for Accurate Neutrino Detection, for DUNE

Transcript of SAND-DUNE: Simulations and reconstruction€¦ · SAND-DUNE: Simulations and reconstruction...

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SAND-DUNE: Simulations and reconstruction

DUNE-doc-13262

4/9/2019 1

SAND: Solenoid for Accurate Neutrino Detection, for DUNE

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Status of simulations and analysis• Summary of performance study for • KLOE + STT + LAr• Full simulations and reconstruction to demonstrate performances• Perspectives in new proposed configuration, KLOE +3DST +…

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NewIntegration of 3DST, surrounded by tracking devices. Work in progress.

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Example events

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16 GeV, 17 secondaries

2 GeV, 6 secondaries

π

2 GeV, 6 secondaries

µ

µ

Black: Edep in 3DSTRed: tracker and Calo

Output: energy in 1cm cubes, and timeWill reuse 3DST software for light yield and digitization.

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Old Layout (a reminder) STT (5tons CH2,“compact” version)

Joke

EM-CALOBarrel +EndcapPb +SciFiNo separation from tracker

LAr active target~1 ton

Coils and cryo

B: solenoid0.6T

ν

Inner volume~45m3

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Details

Pb

fiber

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Simulations• Two parallel streams• GEANT4 + GENIE + dunendggd• FLUKA (with internal generator) + ROOT• Same neutrino fluxes from http://home.fnal.gov/ ljf26/DUNEFluxes/• Same STT configuration and LAr meniscus• In FLUKA: detailed EM Calo geometry+readout

Plots: em-calo hits (black) and readout cell centres (yellow) (integrated over many events)

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Results –Muons

LAr target

STT target

FLUKA sim:muon-track reconstructionbased on STT hits, assuming a spatial resolution of 0.2 mm on y and x axes and 0.01 mm on z axis(beam axis).

Charge mis-id ∼0.02%

Improvements ongoing

Good resolution on p (~3%) for both targetsGood resolution on dip angle ~1.7 mrad

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Results: - electrons

Gaussian Fit on θ: Mean ≅ 0 mradSigma ≅ 0.9 mrad

Gaussian Fit:Mean ≅ 3.8 %Sigma ≅ 5.1 %

Total momentum

Generated in STT with GENIE+GEANT4. Very good resolutions, tails due to circular fit approximation to be improved i.e. with Kalman filter.

Wrong sign 1.3% 4/9/2019 9

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Results- π0 Reconstruction from EM CALO clustersDimensions ∆x = 20 cm and ∆φ = 5 deg.Energy smearing σE /E ≈5.7%/√E(GeV)Position from hit barycentre +

resolution of the KLOE calorimeter (4.5 mm).

Reconstructed CC sample: 4000 events1 π0 25% of events2 π0 8% of events> 2 π0 2.5 % of events

2 π0 sample:π0 invariant mass, Considering only 4-cluster events

Resolutions:1 π0 16%2 π0 18%

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Results: - Neutrons : efficiencyFLUKA simulation, detailed EM-CAL. Reconstruction uses real calo segmentation+ measured signal attenuation and time delay in fibres. Combined with STT hits as for muons

Red: from vertexGreen: seen in STTBlue: seen in EM-CAL

Detection efficiency (black=total)

N from νµ CC in Ar

Global efficiency 64% ( 17% STT, 55% EM-CAL, 8%overlap)Efficiency > 72% for Ekin > 100 MeV4/9/2019 11

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Results: - Neutrons: energy from ToFFLUKA simulation. Reconstructed ToF from vertex in Ar to hit in STT or EM-CALO

10 50 100 1000MeV

Early interaction not detected. ToF from fast secondary (photons)

Many scatterings not detected. Path much longer than straight line

On full spectrum:the neutron kinetic energy can be reconstructed with about 30% precision for about 23% of the detected neutrons.

Situation improves quickly with energy: On E> 50 MeV 47% of detected neutrons are reconstructed within 30% accuracyNext: try to add calorimetric information4/9/2019 12

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Angle reconstruction for QE interactions on H

• first hit (minimum time) of neutron or neutron daughters track• Smearing of MC vertex position and hit position

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�ν + 𝑝𝑝 → µ+ + 𝑛𝑛

Stthit=1 events in sttStthit=0 events in barrel calorimeterStthit=2 events in endcap calorimeter

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0.015

0.017

0.019

0.021

0.023

0.025

0.027

0.029

0.7 0.8 0.9 1 1.1 1.2 1.3 1.4Sigm

a fr

om g

auss

ian

fit

True angle

Sigma

Stt=0

Stt=1

-0.01

-0.005

0

0.005

0.01

0.7 0.8 0.9 1 1.1 1.2 1.3 1.4

Mea

n fr

om g

auss

ian

fit

True angle

Mean

stt=0

stt=1

Resolution vs true angle

(Reco-true)/true : average within 0.5%

sigma ~2%

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Full reconstruction –no MC truth• Interaction Vertex based on STT-hit topology (Step 0)• Track finding (Global transform method)• Linear or circle fits to track• Vertex reco from crossing on two most rigid tracks (Step 1)• Iteration…

• Matching of tracks in the two views tracks in 3D• Evaluation of p⊥ and dip-angle p estimate• Ecal hit compatible with tracks ToF measurement• β estimate PiD

On two views

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vertex and track finding• A full realistic event reconstruction based only on detected quantities, avoiding to

use MC true information, is under development using FLUKA simulated events

Two-step method: first rough vertex finding, allows for coordinate transform Peaks in φ correspond to tracksSecond vertex finding from track intersection

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Mass reconstruction and PiD

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p vs 1 / βγmuons

pions

protons

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NO MC truthσ/E = 6.6%

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Low-nu • GENIE simulation on CH2 and H• 2 MC samples: “data” and “MC truth” • Assuming acceptance of 80% and energy resolution 5% to test the unfolding and

analysis procedure• Detector simulation and event reconstruction ongoing

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Acceptance for ArCUBE muons: old AC geo

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Bad efficiency due to escaping muons

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Acceptance for ArCUBE muons: old AC geo• Simple muon catcher around AC + layers around coil cured the

acceptance

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Acceptance for AC muons: work in progress(maybe obsolete?)

• New AC dimensions and exit window implemented, analysis in progress

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Summary• KLOE magnet + EM Calo + 3DST +tracker: implemented, running• KLOE magnet + EM Calo + STT : full simulation + single particle reco

• Track momentum σ ≈3%• Track angle 1 mrad• Neutron efficiency 76%• Neutron Energy within 30% for 47% od detected n with E>50 MeV• Neutron angle in QECC on H: within 2%

• KLOE magnet + EM Calo + STT :preliminary full event reconstruction • PiD and proton/muon/pion mass reco• Neutrino energy in CC σ ≈ 6%

• Acceptance for ArgonCube events: latest configuration under evaluation. Previous one: OK if muon catchers4/9/2019 24

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Backup

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Next steps

• Improve details of singe particle reconstruction• Finalize full event reconstruction• Apply to random events, check identification and reconstruction• Optimize LAr meniscus

• Apply to / optimize PRISM-like data taking• Full background evaluation

• For the moment, apply the single-particle quantities to physics analysis (in the following).

• Details in the forthcoming note

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Performances (examples of)

• Good resolution on tracks good efficiency and purity for the kinematic selection of interactions on H

• Good track and neutron efficiency flux shape with low-ν method for QE and RES events on H. Total statistics (5 years) expected is about 2.4 106 for RES and 800 000 for QE

• Low-ν method also on global STT (and Lar) : here deconvolution of MC smeared data sample to recover input neutrino flux from interactions in STT

• Almost identical performances for events in the LArmeniscus and in the STT direct comparison of events on Ar and H (or C) for nuclear effects assessment

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Performances (examples of) • Charge separation and electron identification νe /νµ and all other species with high

statistics (80000 νe events in FHC mode 5 years)

• Very good angular resolution on electron tracks flux determination from scattering on electrons (rate and shape): The selection efficiency is about 84% with a total background of 5%, composed of QE interactions without reconstructed proton (3%) and NC π0

interactions (2%). Can be combined with data from external Lar. STT provides smaller statistics but better systematics

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PRISM• The whole detector can be moved on rails, for a PRISM-like exposure.

• Event rates here for ½ year, in the LArmeniscus, FHC

• νµ CC : 3.1 104 at the largest angle in 5+5 years

• Factor 5 more in STT

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σ and Nuclear Effects

• Events on Ar, H, CH2, additional C target within the same detector• Compare Ar events with free proton kinematics (H)• Unfolding nuclear effects (Rphys) from detector effects (Rdet)•measure σxRphys

• Lar TPC detector effects (==Far Det) studied by pixelated LAr TPC• σx on Ar using the large statistics from the LAr and HPgTPC detectors

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Flux measurements• Φ (Eν) Measurements

• Absolute ν flux from ν e → ν e elastic• Fluxes vs Eν , ratios of νx/ νy (e, µ, anti) from interactions on Hydrogen • the availability of large statistics from a hydrogen target allows precisions far

exceeding what is achievable with any nuclear target.

• νµ on H : 5 105 /year• νµ on H : 8 104 /year• νe on H : 8 103 /year

• νµ e in FHC : 1000/year in STT, possibly combined with measurement from large mass pixelated LAr detector

Events/ 1020 pot

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From full GENIE + GEANT4 simu + MC truth guidance

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Old results