THE KM3NET/ARCA DETECTION CAPABILITY TO A DIFFUSE FLUX OF COSMIC NEUTRINOS
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- R. Coniglione for the KM3NeT collaboration
INFN - LNS Catania (Italy)
THE KM3NET/ARCA DETECTION CAPABILITY TO A DIFFUSE FLUX OF COSMIC - - PowerPoint PPT Presentation
1 THE KM3NET/ARCA DETECTION CAPABILITY TO A DIFFUSE FLUX OF COSMIC NEUTRINOS R. Coniglione for the KM3NeT collaboration INFN - LNS Catania (Italy) KM3NeT 2 KM3NeT is a distributed research infrastructure in the Mediterranean Sea hosting
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INFN - LNS Catania (Italy)
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KM3NeT/ARCA (Astroparticle Research with Cosmics in the Abyss)
¤ discovery and observation of high energy (GeV ÷ PeV) neutrino sources
☛ a telescope offshore Capo Passero (Sicily-Italy) is in construction at a depth of 3500m
KM3NeT/ORCA (Oscillation Research with Cosmics in the Abyss)
¤ determination of the neutrino mass hierarchy 👊 a detector offshore
Toulon (France) able to detect neutrinos of tens of GeV is in construction at a depth of 2500m
ORCA and ARCA same detector technology
Highlight talk by Aart Heijboer 👊 July 19th(Wed.) ORCA Talk by Antoine Kouchner 👊 July 15th(Sat.)
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2 building blocks of 115 Detection Units (DU) each (0.5 km
3/block)
Each DU with 18 Digital Optical Modules (DOM). Power and data distributed by a single backbone cable with breakouts at DOMs Sea network of submarine cables and Junction Boxes connected to shore via a main electro-optical cable First two DUs already installed and first data analyzed
The optical sensor: Digital Optical Module (DOM). Each DOM comprises 31 3’’ PMTs The Detection Unit (DU)
a 3D array of optical sensors
Talk on first ARCA results by Martijn Jongen 👊 July 13th(Thur.)
36m 90m
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“Track-like” events mainly from vμ CC interactions “Cascade-like” events mainly from ve CC and NC interactions Track reconstruction algorithm Cascade reconstruction algorithm Track analysis - up-going events Cascade analysis - full sky - contained events
Observation time [years] 0.5 1 1.5 2 2.5 3 3.5 ] σ Significance [ 1 2 3 4 5 6
cm
s
sr
exp(-E/3 PeV) GeV
(E/1 GeV)
flux per flavour 1.2 10
tracks cascades combined conventional uncertainty
atm
ν prompt uncertainty
atm
ν
KM3NeT
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Existence of astrophysical neutrinos proven by IceCube 6 year analysis with up-going tracks (Astrophys. J. 833 no.1 - 2016) 👊spectrum ∝ E
Combined analysis (Astrophys. J. 809 no.98 - 2015) 👊 spectrum ∝ E
Evidence for a multicomponent spectrum (Galactic + extragalactic ?)
Estimate of the ARCA performances for diffuse and neutrinos sources in the published Letter of Intent
session expected ARCA performances for a diffuse flux (from LoI)
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Update of results for diffuse from all-sky and
new track reconstruction algorithm better angular resolution higher efficiency Multi-variate analysis (Scikit-learn)
Talk on ARCA reconstruction algorithms by Karel Melis 👊 July 13th(Thur.)
Two assumed benchmark fluxes (same fluxes as the LoI)
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Benchmark fluxes compatible with the measured IceCube fluxes
Analysis steps Pre-selection cut on events reconstructed as up-going or
few degrees above the horizon (θzen>85° optimized)
Multivariate analysis 👊 Scikit-learn distinguish between three event samples (μatm, νatm, νsign) 11 “features” to train the algorithm 👊 from the
reconstruction code or from the topology of the events
Max likelihood
Psig and Pbkg are the probability density function (PDF) for signal and background events estimated from the multivariate analysis as probability to belong to the “signal” class nsig number of expected events in the detector
1 flavour fluxes
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1 2 3 4 5 6
)
sr
s
(GeV cm Φ
9 −
10
8 −
10
exp(-E/3PeV)
E Φ flux
50% σ 3 50% σ 5
KM3NeT ARCA Preliminary
1 2 3 4 5 6
)
sr
s
(GeV cm Φ
7 −
10
6 −
10
5 −
10
E Φ flux
50% σ 3 50% σ 5
KM3NeT ARCA Preliminary
Discovery fluxes as a function of the observation years
*in the LoI 1.5 years
Analysis steps Track analysis Pre-selection cut on events reconstructed as up-going or
few degrees above the horizon θzen>80°
Max likelihood Cascade analysis Selected events with the reconstructed vertex inside the
detector geometry
according to the reconstructed zenith angle from the
tracking algorithm, events are classified as upward- going (sample “A”, cosθtrack > -0.4) or downward-going (sample “B”, cosθtrack < -0.4).
Cut on the total Time-over-Threshold (related to the
total charge of the hits) of the event to reject low energy events on both samples
Random Decision Forest Max likelihood
a radially dependent diffusion coefficient (same flux as the LoI)
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3 flavour flux
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Discovery fluxes and sensitivity as a function of the observation years
Observation years
1 2 3 4 5
)
sr
s
(GeV cm Φ
6 −
10
5 −
10
) E/1 PeV exp(-
(E/1GeV) Φ flux
50% σ Track - 5 50% σ Track -3 Track -sensitivity 90% C.L. 50% σ Cascade - 5 50% σ Cascade - 3 Cascade - sensitivity 90% C.L.
KM3NeT ARCA preliminary
*in the LoI 4.8 years for track analysis cascade analysis not presented in the LoI
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|b| < 3° and |l|<30° Improvement expected combining cascade + track events ANTARES Upper Limit 7y (ArXiv:1705.00497v1*) KM3NeT track analysis (same values for cascade analysis) discovery 3σ 4y sensitivity 4y
*region |b|<3° |l|<40°
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all-sky search 👊 improvement of about 0.5 year for the
GP region |l|<30° |b|<4° track analysis 👊 improvement of about 1 year for the
cascade analysis 👊 new estimates for the cascade
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KM3NeT/ARCA can observe the diffuse high energy neutrino
With its good angular resolution (<0.1°@ Eν>100 TeV) it can