Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction...

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Apostolos Apostolos Tsirigotis Tsirigotis KM3NeT Design Study: Detector KM3NeT Design Study: Detector Architecture, Event Filtering and Architecture, Event Filtering and Reconstruction Algorithms Reconstruction Algorithms XXV Workshop on recent developments in High Energy Physics & Cosmology, 28- 31/3/2007,NTUA, Greece project is co-funded by the European Social Fund & National Resources EPEAEK-II (PYTHA

Transcript of Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction...

Page 1: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

Apostolos Apostolos TsirigotisTsirigotis

KM3NeT Design Study: Detector Architecture, KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Event Filtering and Reconstruction

AlgorithmsAlgorithms

XXV Workshop on recent developments in High Energy Physics & Cosmology, 28-31/3/2007,NTUA, Greece

The project is co-funded by the European Social Fund & National Resources EPEAEK-II (PYTHAGORAS)

Page 2: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

The Underwater Neutrino Telescope software chain

•Generation of atmospheric muons and neutrino events

•Detailed detector simulation (GEANT4)

•Optical noise and PMT response simulation

•Prefit & Filtering Algorithms

•Muon reconstruction

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Event Generation – Flux Parameterization

•Neutrino Interaction Events

•Atmospheric Muon Generation (2 Parameterization Models)

μ

•Atmospheric Neutrinos 1 Conventional (no prompt) Model

ν

ν

•Cosmic Neutrinos 5 diffuse flux modelsIt is going to be updated

Earth

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Event Generation

Shadowing of neutrinos by Earth Survival probability

Nadir Angle P

rob

abil

ity

of

a ν μ

to

cro

ss E

arth

Neutrino Interaction Probability in the active volume of the detector

Page 5: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

Detector Simulation

• Any detector geometry can be described in a very effective way

Use of Geomery Description Markup Language (GDML, version 2.5.0) software package

•All the relevant physics processes are included in the simulation

•All the interactions and transportations of the secondary particles are simulated (Multiple track simulation)

•For the simulation of the neutrino interaction events PYTHIA is used

•Fast simulation techniques and EM shower parameterization

•Optical Noise and PMT response simulation

•Visualization of detector components, particle tracks and hits

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Filtering, Prefit and Reconstruction Algorithms

Local (storey) CoincidenceApplicable only when there are more than one PMT looking towards the same hemisphere

Global clustering (causality) filter50% Background rejection while all signal hits survive (1km3 Grid & 1 TeV muon)

Local clustering (causality) filter75% Background rejection while 90% of signal hits survive (1km3 Grid & 1 TeV muon)

Prefit and Filtering based on clustering of candidate track segments

•Χ2 fit without taking into account the charge (number of photons)•Kalman Filter (novel application in this area)

Page 7: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

MultiPMT Optical Module (NIKHEF Design)

Outside view Inside View

20 x 3” PMTs (Photonis XP53X2) in each 17” Optical Module

Single PMT Rate (dark current + K40) ~ 4kHz

120 Hz Double coincidence rate per OM (20 ns window)

3.5 Noise Hits per 6μsec window (4800 MultiPMT OMs in a KM3 Grid)

Page 8: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

Optical Module ReadoutOptical Module Readout

•Use a time-over-threshold (TOT) system (multiple thresholds)•Estimation of charge from the time-over-thresholds

+

multiplicity

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Time (ns)

Trigger

Input

Page 10: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

125 meters

IceCube Geometry: 4800 OMs looking down in a hexagonal grid.80 Strings, 60 OMs each. 17m between OMs

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Prefit and Filtering Efficiency (1 TeV Muons, uniform flux, IceCube Geometry)

Events with number of hits (noise+signal) >4

Number of Active OMs

Events passing the clustering criteria

Noise

Signal

Noise

Signal

Number of Active OMs

Signal

Noise

Number of Active OMs

Events passing the clustering criteria after background filtering

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Prefit Resolution

Space angle difference (degrees) Zenith angle difference (degrees)

σ = 0.47 degrees

(1 TeV Muons, uniform flux, IceCube Geometry)

Page 13: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

Fit Resolution (1 TeV Muons, uniform flux, IceCube Geometry)

Space angle difference (degrees) Zenith angle difference (degrees)

σ = 0.1 degrees

Page 14: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

Fit Resolution (1 TeV Muons, uniform flux, IceCube Geometry)

pool (θsim – θrec)/σrec

σ = 1.05

Azimuth angle difference (degrees)

σ = 0.14 degrees

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Comparison of three different Geometries

IceCube Geometry (4800 down looking MultiPMT OMs)

IceCube Geometry with 2 MultiPMT OMs per Storey, one looking down the other up

Nestor Geometry with 37 Towers in a hexagonal formation. Each tower has 21 floors, with 50 meters between floors. 2 MultiPMT OMs per Storey, one looking down the other up

x(m)

y(m)

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IceCube Geometry (Down looking OMs)

IceCube Geometry (Up-Down looking OMs)

Nestor Geometry (Up Down looking OMs)

Muon Energy (GeV)

Atmospheric (CC) neutrino events (1-10TeV)Comparison of three different Geometries

σ=0.11 degrees

σ=0.11 degrees

σ=0.12 degrees

Zenith angle difference (degrees)

Zenith angle difference (degrees)

Zenith angle difference (degrees)

Page 17: Apostolos Tsirigotis KM3NeT Design Study: Detector Architecture, Event Filtering and Reconstruction Algorithms XXV Workshop on recent developments in High.

Atmospheric (CC) neutrino events (1-10TeV)Comparison of three different Geometries

Space angle difference (degrees) Muon Energy (GeV)

Rec

on

stru

ctio

n E

ffic

ien

cyIceCube Geometry (Down looking OMs)

IceCube Geometry (Up-Down looking OMs)

Nestor Geometry (Up Down looking OMs)