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Status of 1.5.3 Detector Characterization a.k.a. Calibration & Monitoring. Project Year 2 objectives ( → Mar ‘04) 1. Calibration plan (first draft in March ‘03 – still circulating…) 2. Define contents of calibration DB 3. Define algorithms 4. Monitoring interface for TestDAQ
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Status of1.5.3 Detector Characterizationa.k.a. Calibration & Monitoring • Project Year 2 objectives (→ Mar ‘04) 1. Calibration plan (first draft in March ‘03 – still circulating…) 2. Define contents of calibration DB 3. Define algorithms 4. Monitoring interface for TestDAQ 5. Monitoring plan (new L4 for monitoring: Rodin Porrata) • Manpower 1 FTE (UCB) + 0.5 FTE (UW) + 0.2 FTE (UD) + δ Kurt Woschnagg, UC Berkeley
Calibration Tasks • Low-level calibrations: • Timing 7 ns • Geometry 1 m • Charge, OM gain (lab, ice) • Angular OM acceptance (lab) • Optical ice properties • High-level calibrations: • Energy (cascades) • Vertex resolution • Pointing accuracy and angular resolution • DOM lab calibrations not included here
Timing calibration Automatic, part of normal DAQ ops 1. Every waveform time-stamped (coarse, fine) locally in DOM 2. Clock calibration (RAPcal) to relate local times to global (master) time 3. PMT transit time measurement (in lab, in-situ with onboard LED) Testing (post-deployment): - with flasher data - with muons (req. reconstruction) Development and testing underway @LBL
Calibration devices • Standard candles (lasers) vertex, energy • Flasher boards geometry, timing, vertex, energy, ice • Dust loggers ice properties • On-board LEDs charge, timing (transit time) • Pressure sensors geometry, deployment • Payout, drill, GPS geometry • Acoustic televiewer drilling So far: physics requirements, cable issues
Geometry calibration in 3 stages • Stage 1 (~days) Combine deployment data: surface survey, drill log, pressure data, payout etc. One shot! • Stage 2 (~weeks→days?) Interstring calibration with flasher data Requires: timing calib. • Stage 3 (~months→weeks→days?) Muon survey Requires: timing calib., reconstruction
Geometry calibration – Stage 1 Initial geometry from deployment data: • GPS survey of surface locations • Pressure sensors • Drill log • Well depth • Cable payout + Hole diameter from acoustic televiewer → Absolute OM positions within ~1 m Time scale: days → day?
Geometry calibration – Stage 2 Global interstring fit to flasher timing data → Relative string positions within ~0.5 m Time scale: weeks → days? Does it work in IceCube?
Measuring ice flow with cosmic-ray muons Rigid down to 2000 m Lagging Stuck at bedrock • Reconstruct downgoing muon tracks • Find location for each OM that minimizes its contribution to the reconstruction likelihood
Geometry calibration – Stage 3 Test: finds artificial shifts Survey with downgoing muons → OM positions within ~0.3 m Time scale: month(s) → weeks → days? Development and testing on AMANDA data underway @ UCB (Jeff Allen, Dima)
Optical properties of ice From in-situ light sources in AMANDA we get (after some analysis): So what is left to do…
Are the dust bands horizontal over km-scale? 2. What happens below 2100 m? 3. Can we measure hole ice prop.? Optical properties in IceCube
Calibration hardwareFlasher boards • Requirements document (ERD) finalized • Each board has 12 LEDs (405 nm) 6 horizontal for geometry 6 at ~45° for cascade simulation All 12 can be fired independently Adjustable light output • Cascade energies up to 10 TeV (at least)
Calibration hardwareDust loggers Conceptual design stage, but: • Experience at UCB • Proven method Optimal placement: in IceCube corners and at AMANDA center Deploy first season?
Record of Northern climate variations at GISP2(Greenland Ice Sheet Project, 3054 meters) A dust logger in action Ryan Bay, UCB Dust logger data Dust in ice core Temperature record from ice core
DOM gain (charge) calibration Relate measured charge to number of photoelectrons • In lab (pre-deployment): measured for all DOMs → database - SPE peak - linearity - dynamic range - saturation - dependence on HV, temperature • In situ (post-deployment): on-board LED, min-bias muon data - SPE peak - linearity? saturation?
Calibration hardwareOn-board LEDs Hardware: Separate UV LED on DOM main board Purpose: Charge calibration: SPE peak Timing calibration: PMT transit time Work in progress (@LBL): Light output Pulse width Optical coupling Placement
Cascade energy calibration ~105 photons/GeV In-situ light sources: • Flashers; up to 10 TeV • Lasers; 1 TeV and up Standard candles: absolute calibration in lab Realistic cascade simulation (light distribution, timing) • Overlay events to reach higher energies - saturation (database with lab measurements) - software
Getting ready for the first strings The first IceCube string is deployed in Dec ’04 …then what? Mainly calibrations in ’05 • Timing calibration • Reconstruction • Deployment daq AMANDA/IceCube cross calibrations: - Common reconstruction - Coordinate system
Dependencies by WBS element • Reconstruction • Deployment • DAQ • AMANDA-IceCube integration • Software • Simulation • In-ice devices (in-situ light sources) • Monitoring, database, … help!