r.shanidze, b. herold, th. seitz ecap, university of erlangen (for the km3net consortium) 15 october...

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R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms for the KM3NeT neutrino telescope

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Page 1: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen

(for the KM3NeT consortium)

15 October 2009 Athens, Greece

Study of data filtering algorithms for the KM3NeT neutrino telescope

Page 2: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

Neutrino, atmospheric- and optical background rates in the ANTARES telescope. (Mediterranean Sea, depth -2475 m) • -event rate: ~ 0.1 mHz • atmospheric -rate(*): ~ Hz • Optical background (40K, bioluminescence) ~ 60 kHz/PMT PMTs (Strings x Storeys x PMT) 900 ( 12 x 25 x 3)

Introduction

ANTARES solution(**): - ‘ All data to shore concept’ flexible software filters/triggers: - External trigger (s): GCN/GRB ( SNEWS /Supernova ) - Standard triggers - T2 / T3 triggers - 40K trigger

(*) Integrated atm- rate measured in ANTARES (preliminary): (h)=0 x exp(-b(h-h0)), with 0 =1.72(+0.92-0.57) x10-3 m-2s-1, b=0.0019, ho=2000 m. (*) ANTARS DAQ: ANTARES Collaboration ( J.A. Aguilar et al., ) NIM A570(2007), 107 ( astro-ph/0610029 )

Are these filtering / triggering schemes applicable to KM3NeT telescope ?

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 3: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

Triggering “a la ANTARES”

Hit hierarchy: a) L0. PMT signal above defined threshold (0.3 p.e.) b) L1 - at least 2 x L0 in the same story within tc

- ( 20 ns in ANTARES NT) - PMT signal above threshold ( 5 p.e.)

T2/T3 Triggers (**)• 1T2 ) 2 x L1 in adjacent storeys in t2=100 nsec• 1T3 ) 2 xL1 in adjacent/next to adjacent storeys in t3=100/200 nsec• 2T3 ) 2 x 1T3 clusters in the whole detector in a time window t =2.25 sec

(*) ANTARES-Soft-2005-005(**) ANTARES-Soft-2008-009

“ standard triggers “ (*) based one selection of (n x L1 hits) [x ( “causality”)]

ANTARES storey

The software filters/triggers are based on L1 hits.

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 4: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

Rate in a single PMT large hits in ANTARES ( from M. de Jong ):

a) ANTARES PMT response ( in p.e.) from GRB trigger 61-334877 b) Corresponding rates R0~ 70 kHz, R2/3 ~ 6 kHz / 200 Hz

Contribution to the large (> 1 p.e.)amplitudes: - K40 - atm. PMT noise: ( auto-pulses,…)

L1 Rates in ANTARES

A [ p.e. ] A [ p.e. ]

Rat

e [

kH

z] a b

L1 rates = L1(coincidences) + L1 (large p.e. signals) L1 for coincidences (tc=20 ns) ≈ 600 Hz, for R0 = 70 kHz ( in addition ~20 Hz from single 40K decays )

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 5: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

ANTARES vs. KM3NeT

PMT OM

xPMT.

St.

(DU)

DU St. PMTs

(Tot.)

Dist(m)

St./DU

Vol.

(km3)

ANTARES 10” 3 x 1 25 12 300 900 14.5/70 0.01

KM3NeT 8” 3 x 2 20 127 2540 15240 40/180 2.6

3” 1x31 20 300 6000 186000 30/130 3.1

Storey types in considered for KM3NeT: ANTARES type, extended storey, MultiPMT storey

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 6: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

L1 rates in with multi-PMT OM

Study of 40K rates in multi-PMT OMs: ( talk of B. Herold at this conference )

Optical rates 40K in multi-PMT: studied with GEANT-4 simulations: 31 x 3” PMT ( QE as measured in Erlangen)

R0 in multi-PMT OM ~ 190 kHz ( ~ 6 kHz/PMT )

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 7: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

K40 coincidences Correlated rate ~ 1300 Hz : hits in the same PMT (1 PMT hit): 14 % hits in 2 or more PMTs (L1 hit): 86 % ( ~ 1120 Hz)

Accidental L1 rate (10 ns window) : • R0 = 6 kHz, R(L1)=334 Hz (calculations) • K40 simulations: ~ 300 Hz

Calculations:

with

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 8: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

L1 rates for the flexible tower storey Calculations for L1: - at lest 2 L0 hits from 6 PMTs on a storey in T=50 nsec window. (?) (time window corresponds to 6m storey )

Correlated L1 rate from 40K expected to be much smaller

R(L1) rate per stores as a function of R0.

for R0= 50/100 kHz, R2(L1)=1.9 / 7.4 kH

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 9: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

Accidental L1 rates in ANTARES

Accidental rates in ANTARES ( MC simulations/calculations) ANTARES-Phys-2006-008

Accidental rates for k(L1) hits in the ANTARES telescope for (tE = 2.2 msec, Rmax ≈ 500 kHz) Poisson statistics: Rate(k)= Rmax(mk/k! •exp(-m) ) Maximum rate

Rmax = 1/tE ( ≈ 500 kHz ) with mean number L1: m=R(L1)xNsto x tE

Significantly large number of L1 hits in the KM3NeT time window (~ 10 sec) additional strong suppression is necessary !

KM3NeT: L1 rate: > R(L1) / ANTARES storeys: x 8.5 (20) ANTARES time: ~ x 5 ANTARES Max rate: ANTARE/5 ( ≈ 100 kHz)

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 10: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

Causality relation/filter Causality relation (filter) : t ij < ( dij / cn ) + 20 nsec dij - distance between hits i and j cn - speed of light in water (n=1.35)

distance between OMs in the multi-PMT/string configuration (130m). Mean distance between OM pairs: d ≈ 1200 m corresponds to: t ≈ 5.4s many L1 pairs will pass causality filter.

d is small for the storeys in the same DU. adjacent storeys = T2 next to adjacent = T3

Page 11: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

T2/T3 rates in ANTARES

T2(T3) is a pair or L1 with additional constraints: - time interval 100(200) ns in ANTARES - adjacent (next to adjacent) storeys Advantage:

T2 / T3 rate smaller the L1

• Number of T2 pairs ≈ N storeys

Calculations for KM3NeT are coming soon ( will be included in VLVnT-09 proceedings )

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.

Page 12: R.Shanidze, B. Herold, Th. Seitz ECAP, University of Erlangen (for the KM3NeT consortium) 15 October 2009 Athens, Greece Study of data filtering algorithms

• Accidental L1 rate per storey is the main input in the filtering algorithms and should be studied for all KM3NeT configurations.

• Standard causality filter, due to large distances between DUs are much less effective for KM3NeT telescope. • Filtering/triggering algorithms based on T2/T3 clusters are promising approach for the high purity selection of neutruno and muon events.

• Development of new, dedicated software filtering/triggering algorithms seems to be necessary for the KM3NeT telescope.

Summary and Outlook

R. Shanidze, B. Herold, T. Seitz VLVnT-09, Athens, 15 October, 2009.