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S. E. Tzamarias
The project is co-funded by the European Social Fund & National Resources EPEAEK-II (PYTHAGORAS)The project is co-funded by the European Social Fund & National Resources EPEAEK-II (PYTHAGORAS)
KM3Net Kick-off Meeting, Erlangen-Nuremberg, 11-13 April 2006
HOU Contribution to WP4 (Information & Technology)
Events Generator
•Neutrino (all flavors) Induced Events
•Atmospheric Muon Generation
•Atmospheric Neutrinos•Cosmic Neutrinos (Several Models)
•Neutrino Interactions (use of Pythia)
Example: Earth Absorption
Nadir
Angle
Pro
bab
ilit
y o
f a
ν μ t
o c
ross
Ear
th
Extensive Air Showers
•Production of Secondaries, transportation, energy loss
Example: νe interacting inside a grid-like detector
Monte Carlo Development : Simulation Technique Cherenkov photon emission
A new, very efficient, general purpose, Cherenkov simulation algorithm
find the center of mass m1 of group1
find the center of mass m2 of group2
Define 2 points inside the detector, p1 & p2
For all PMTsWhich point is closer ?
p1 p2
Add PMT to group1 Add PMT to group2
is m1=p1 and m2=p2
yes
no
converge
Stage 1:Define PMT clusters according to the detector geometryStage 2: Use the Clusters for the Cherenkov photon production
The simulation strategy is applicable and efficient for any detector architecture without
any extra optimization
Monte Carlo Development : Simulation of the Detector Response (GEANT4)
Angular Distribution of Cherenkov PhotonsEM Shower Parameterization
Parameterization of EM Shower
•Longitudal profile of shower
•Number of Cherenkov Photons Emitted (~shower energy)•Angular profile of emitted photons
General purpose:
Simulation of (any) PMT Response
Simulation of electronic functions
mV
Simulation Example
1 TeV Vertically incident muon
K40 Noise Hits
Signal Hits
(Hit amplitudes > 2p.e.s)
Computer Power
•Computer Farm with 15 computers (15 double xeons )
•We are currently installing 64 more computers (64 double opterons)
350 Gflops
Current Studies
• PMT orientation and photon directionality
• nested vs uniform architecture for ~1TeV muons
• fast triggers and filtering algorithms
• detector calibration using EAS
Fast Triggering Algorithms
Estimation of Information Rate
1km3 Grid (18522 15inch PMTs)
Information Rate = PMT Number * K40 Noise Rate * (Bytes/Hit)
= 18522 * 50kHz * 32
≈ 30GB/sec
Cannot be saved directly to any media
Charge & Multiplicity Characteristics
Charge/hit distribution
Number of pes
noise
signal
Multiplicity (signal)
Multiplicity (noise)
Number of active PMTs in 6 μs window
Number of active PMTs in 6 μs window
No Cut
1TeV Vertical Muons
Charge & Multiplicity Characteristics
Selection based on hits with at least 2 photoelectrons
Multiplicity (signal) Multiplicity (noise)
Information Rate = PMT Number * K40 Noise Rate * (Bytes/Hit)
= 18522 * 3kHz * 32
≈ 1.8GB/sec
By Using clustering like DUMAND the background rate is reduced by 75% (450 MByte/sec) and the signal hit has a higher than 60% probability to survive
Fast Triggering Algorithms
Estimation of Information Rate
1km3 Grid (18522 triplets of PMTs)
3 PMTs per hemisphere in coincidence
10nsec time window, 2 out of 3 coincidence
Each triplet’s total photocathode = 15inch PMT photocathode
Information Rate = PMT Number * K40 Noise Rate * (Bytes/Hit)
= 3* 18522 * 17 Hz * 32
≈ 30MB/sec
Triplet coincidence rate=17Hz (17kHz background per PMT)
Number of active triples
Background
Signal
1TeV Vertical Muons
Fast Triggering Algorithms
Use of the number of activate triplets as fast selection trigger
Distributions normalized to 1
Fast Triggering Algorithms
Estimation of Event Rate and Efficiency
Eve
nt R
ate
(kH
z)
Cut to the number of active triplets
Eff
icie
ncy
Cut to the number of active triplets
180 kByte/event
10TeV
1TeV
Fast Triggering Algorithms
1TeV Vertical Muons
Use also the Dumand clustering:
Background
Signal
Number of active triples
Fast Triggering Algorithms
Estimation of Event Rate and Efficiency
Eve
nt R
ate
(kH
z)180 kByte/event
Cut to the number of active triplets
Eff
icie
ncy
Cut to the number of active triplets
1TeV
Fast Triggering Algorithms
Raw Hits
Absolute time
TimeStretching
Trigger Level
trigger
Accepted Interval
Triggering Method
36 PMs in 3 subcylinder
35 3” photomultipliers in a cylinder
Determination of photon direction, e.g. via multi-anodic PMs plus a matrix of Winston cones.
Large photocathode area with arrays of small PMTs packed into pressure housings
Alternative Options for photodetection
t1
t2
t3Ethernet
A. Leisos
H.O.U., Univ. Athens, Univ. Patras, INP DEMOKRITOS, NTUA
A StationGPS
ScintillatorScintillator
PC
~20 m
TCP/IP
ScintillatorScintillator
A. Leisos
Eurocosmics
The General Idea…
•Angular offset
•Efficiency
•Resolution
•Position
•Detector calibration using EAS