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Pre-Production Models for KM3NeT

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Presentation on theme: "Pre-Production Models for KM3NeT"— Presentation transcript:

1 Pre-Production Models for KM3NeT
Els de Wolf Nikhef/UvA-GRAPPA KM3NeT General Meeting 30 March 2011, Amsterdam

2 Deliverables of WPF/L 1. Description of Pre-Production Models (PPMs) for a detection unit a calibration system a data acquisition system published in December 2010 ‘Technical description of the PPM of the KM3NeT detection unit’ (KM3NeT_FL_REP_PPM_Description) 2. Realised and tested “small-scale” PPMs 3. Description of Production Model of KM3NeT

3 Recent History December 2010: PPM-report sent to EC
January 2011: SPB gave priority to development of multi-PMT DOM as optical sensor DOMBAR as storey configuration DOMBAR = “BAR with a DOM at either end” Technology choice based on comparison (of various designs) w.r.t: Physics performance for full KM3NeT detector Obtained validation results Feasibility of assembly/integration during production Reliability estimates Failure mode analysis Cost for full KM3NeT detector

4 PPM-Objectives Provide answers on the following questions:
Can we deploy a detection unit?  in-situ test mandatory Can we measure signals? Can we calibrate? Can we get these signals to shore? connection mandatory Can we measure muon signals? What do we learn for the Production Model for KM3NeT?  results from in-situ and in-lab tests

5 Hosting infrastructure
PPM DU description 2 connected storeys Backbone 2 DOMS 2 hydrophones Digital Optical Module 31 PMTs FE electronics Power board Central logic board Nanobeacon Acoustic piezo Compass/tilt metre 2 DOMS 2 hydrophones 18 Autonomous dummy storeys 2 spheres 1 NDLM : Optic. Fanout Module : NDLM Pressure Compass 3D accelerometer 2 spheres 1 NDLM 2 spacers 1 NDLM 1 NDLM Base + deadweight Hosting infrastructure

6 Can we deploy a detection unit?
To be realised: The deployment of full mechanical DU-model with vertical e/o backbone cable To be learned: Does it unfurl correctly to its full length? Is the hydrodynamic behaviour as predicted? Does the vertical e/o backbone cable remain undamaged? Are there no leaks? Is there not serious other damage?

7 Can we measure signals? To be realised: To be learned: PMTs in DOMs
Readout electronics: FE, central logic To be learned: Test of readout electronics Singles rates Coincidence rates Gain stability PMT identification

8 Can we calibrate? To be realised: To be learned:
Acoustic piezo sensors in DOM (position) Hydrophones at 2 storeys (position) (redundancy) LBL acoustic transmitter in seafloor infrastructure Nanobeacons in DOMs (timing) Stand-alone sensors Point-to-point data transmission network (timing) Available: 40K To be learned: Accuracy of positioning Comparison hydrophone + piezo sensor Electronics resolution Timing resolution Amplitude resolution

9 Can we get signals to shore?
To be realised: Data transmission network DAQ electronics and logic To be learned: BER (bit error rate) Optical budget DAQ stability and logic

10 Can we measure muon signals?
To be realised: 2 storeys with 4 DOMs Trigger: 4 DOMs hit  4 parameters To be learned: Depth dependence of coincidences Theta dependence of coincidences Phi dependence of coincidences

11 What do we learn for the Production Model for KM3NeT?
To be realised: Evaluation of PPM results Evaluation of assembly/integration procedures Evaluation of QA/QC procedures Results from failure rate analyses To be learned: Feasibility of design for KM3NeT Are there non-conformities? Is the design OK? If it is OK, what needs to be optimised for mass production/mass deployment? Which QA/QC procedures should be implemented? To be delivered: Description of Production Model for KM3NeT

12 Hosting infrastructure
PPM DU description 2 connected storeys 18 Autonomous dummy 2 spacers Backbone Base + deadweight 2 DOMS 2 hydrophones 2 spheres 1 NDLM Optic. Fanout Module : Status reports of details follow now: PMTs Instrumentation Readout/DAQ Deployments DOMBAR design Seafloor infrastructure Deployment vessels, ROVs Hosting infrastructure


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