“ Quality Assurance and Risk Assessment in the KM3NeT Neutrino Telescope Design Study ”
KM3NeT – ORCA Measuring Neutrino Oscillations and the Neutrino Mass Hierarchy in the Mediterranean...
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Transcript of KM3NeT – ORCA Measuring Neutrino Oscillations and the Neutrino Mass Hierarchy in the Mediterranean...
KM3NeT – ORCAMeasuring Neutrino Oscillations and the Neutrino Mass Hierarchy in the
Mediterranean Sea
J. BrunnerCPPM
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• DM2 ~ A matter potential must be significant
• L large enough – use atmospheric neutrinos !• Distinction between neutrinos and anti-neutrinos cross-sections!
Matter Effects and Neutrino Mass Hierarchy (NMH)
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Both muon- and electron-channels contribute to net hierarchy asymmetryelectron channel more robust against detector resolution effects:
E, θ smearing(kinematics+ detectorresolution)
Method to Determine NMH
KM3NeT: Next generation Neutrino Telescope in the Mediterranean Sea
Low-Energy(ORCA)
High-Energy (ARCA)
( )
Distributed research infrastructure with 2 main physics topics:Low-Energy studies of atmospheric neutrinos – High-Energy search for cosmic neutrinos
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The ORCA benchmark design
450 m
115 lines, 20m spaced, 18 DOMs/line 6m spaced
Instrumented volume ~3.8 Mt, 2070 OM
• 31 3” PMTs • Digital photon counting• Directional information
• Wide angle of view• More photocathode than 1 ANTARES storey• Cost reduction compared to ANTARESPoster : Ronald Bruijn
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Ingredients for NMH measurement
• Efficient and high purity trigger algorithm for neutrino and atmospheric muon events– Exploit excellent photon counting of multi-PMT DOMs– Use causality of direct photons water almost scattering
free for visible photons• Reconstruction of cascade and track topologies
– High efficiency down to relevant energies– Good resolution in energy and zenith angle
• Topology Identification (track cascades)• Atmospheric muon rejection (no hardware veto)
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Reconstruction Methods
• Dedicated methods for tracks and cascades have been developed
• 8 parameters are determined– Time, position (3), direction (2), energy, inelasticity
• Step by step procedure (no brute force fit)– Hit selection (similar to trigger)– Vertex & Directional fit (timing)– Energy & inelasticity fit (light yield &
direction/vertex)
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Performances ne (cascades)
450 m
Excellent angular resolutionDominated by kinematics
Energy resolution better than 25% in relevant range – close to Gaussian
Poster : Jannik Hofestädt
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Performances nm (tracks)
450 m
Excellent angular resolutionDominated by kinematics
Energy resolution better than 25% in relevant range – close to Gaussian
Poster : Salvatore Galata
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Effective Mass• Above 10 GeV Meff close to instrumented volume• Similar for cascades and tracks
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ORCA Layout Optimization• 20m interline spacing imposed by line deployment (sea operations)• Vertical spacing open : 6,9,12,18m spacing inter-DOM shown
Effec
tive
mas
s (M
ton)
Med
ian
zeni
th re
s (°
)
Med
ian
Frac
. E re
sExamples for cascadesResolutions stableMeff 5-10 GeV crucial
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Flavour (mis)-identification
KM3NeT/ORCA preliminary
Prob
abili
ties
to c
lass
ify a
s tr
ack-
like
• Discrimination of track-like ( nmCC ) and cascade-like ( nNC, ne
CC ) events• Classification uses “Random Decision Forest”• Better than 80% above 10 GeV for all channels but nm
CC
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Atmospheric muon rejection
Atmospheric m
Few % contamination achievable without too strong signal loss
Instrumental veto not mandatory Atmospheric
n (E<20 GeV)
Poster : Luigi Fusco
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Systematic Effects• Various systematic effects taking into account
– Oscillation parameters• Δm2, θ12 fixed; θ13 fitted within its error
• ΔM2, θ23, δCP fitted unconstrained
– Flux, cross section , detector related (average fluctuation w.r.t. nominal)
• Overall normalisation (2.0%)• ν/v ratio (4.0%)• e/μ ratio (1.2%)• NC scaling (11.0%)• Energy slope (0.5%)• Fitted unconstrained
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Sensitivity to Neutrino Mass Hierarchy
Track vs shower event classification Full MC detector response matrices
including misidentified and NC events Atmospheric muon contamination Neutral current event contamination Various Systematic uncertainties
Dependence of sensitivity on time for fixed θ23 valuesdCP fixed to zero for easy comparison with other experiments
Poster : Martijn Jongen
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Sensitivity to Neutrino Mass Hierarchy
Track vs shower event classification Full MC detector response matrices
including misidentified and NC events Atmospheric muon contamination Neutral current event contamination Various Systematic uncertainties
Dependency of sensitivity on θ23 for 3 yearsNH easier to determine than IHSecond octant easier than first octantWhen fixing dCP to zero sensitivity increases by ~0.5σ
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Sensitivity to Neutrino Mass HierarchyDependency of sensitivity on θ23 and dCP for NH and 3 yearsBest case : large θ23 and δCP = 0o
Worst case : small θ23 and δCP = 180o
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Sensitivity to PMNS parametersΔM2 – unconstrained fit in conjunction to mass hierarchy hypothesis testing Significant improvement of precision achievable
PDG 2014
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Sensitivity to PMNS parametersΘ23 – unconstrained fit in conjunction to mass hierarchy hypothesis testing
World best measurement after few years of data taking
PDG 2014
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Modular ring of up to 5-6 nodes via two cables to shore for up to 120 detection units + sea science instruments Possibility to redirect the ANTARES cable to ORCA as second main cable
ORCA costs & timeline
Phase 1 (funded) Deploy new main cable, junction box and a 6-7 string array in the ORCA configuration to demonstrate detection method in the GeV range.
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Next Step -- 24-30 lines & second junction box -- equipment for sea science
ORCA costs & timeline
Conclusion
• ORCA started detector construction• Budget situation promising• Full simulation and reconstruction framework
available• Systematic uncertainties under control• Further improvements possible using inelasticity• NMH determination feasible on unequalled time
scale• Improvement of measurement precision for
atmospheric oscillation parameters
END
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Backup
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Sensitivity studiesTo optimally distinguish between IH and NH: likelihood ratio test with nuisance parameters→ deal with degeneracies by fitting
1) Fit parameters assuming NH2) Fit parameters assuming IH3) Compute DlogL = log( L(NH)/L(IH) )
Parameter estimates possiblyUsing constraints
q23 , Dm2large and normalization fitted from data
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ORCA shower reconstruction (ne)
Res. (s): 0.5-1 m
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ORCA Sensitivity to Inelasticity• Use PDFs on the time residuals under the
track (low-y) and shower (high-y) hypothesis
• Select y-interval corresponding to highest likelihood
“total significance … may increase by (20 - 50)%, thus effectively increasing the
volume … by factor 1.5 – 2” Ribordy & Smirnov PRD, 87. 113007
(muon channel only)
Work in progress
Should be further exploitedPID, NC rejection, neutrinos/anti-neutrinos…
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