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Calibrating the first four IceCube strings

Calibrating the first four IceCube strings. Kurt Woschnagg, UCB L3 Detector Characterization IceCube Collaboration Meeting, Bartol, March 2004. Objectives for first four strings. What we need DFL measurements (gain, angular acceptance) → DB Timing (RAPcal, DAQ software)

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Calibrating the first four IceCube strings

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  1. Calibrating the first four IceCube strings Kurt Woschnagg, UCB L3 Detector Characterization IceCube Collaboration Meeting, Bartol, March 2004

  2. Objectives for first four strings • What we need • DFL measurements (gain, angular acceptance) → DB • Timing (RAPcal, DAQ software) • Charge (on-board LED, DAQ software) • Geometry • Timing/geometry verification (flashers, muons) • What we want • Optical properties below 2100 m • Dust profile with volcanic ash bands • Cross-calibration with AMANDA and SPASE • Deep temperature profile → ice flow

  3. Calibration devices • 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 • Laser distance meter well depth (geometry) • Thermistors ice properties • Acoustic televiewer hole diameter (drilling) • AMANDA, IceTop, SPASE verification, cross-calibration In following years • Standard candles (lasers) vertex, energy, (geometry, x-calib)

  4. Geometry calibration in 3 stages • Stage 1 (~days) Combine deployment data: surface survey, drill log, pressure data, payout etc. • Stage 2 (~weeks → days?) Interstring calibration with flasher data Requires: timing calibration • Stage 3 (~months → weeks → days?) Muon survey Requires: timing calibration, reconstruction

  5. Geometry calibration – Stage 1 Initial geometry from deployment data: • GPS survey of surface locations • Pressure sensors • Well depth • Drill log • Cable payout + Hole diameter from acoustic televiewer (?) → Absolute OM positions within ~1 m Time scale: days → day?

  6. Geometry calibration – Stage 2 Global interstring fit to flasher timing data • Take data with 8-10 flashers on each string • Dedicated calibration runs (length: TBD) • Cross-calibrate with AMANDA OMs and flashers (string 18) → Relative string positions within ~0.5 m Time scale: weeks → days?

  7. 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

  8. 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)

  9. Timing/geometry verification • Use reconstructed (downgoing) events • IceCube muons • AMANDA muons • SPASE coincidences • In-situ light sources • IceCube flashers • AMANDA flashers, lasers • Look at • time residuals • amplitudes • reconstructed vertex position

  10. Cross-calibrations With AMANDA: • AMANDA light sources seen with IceCube strings • IceCube light sources seen with AMANDA strings • Separate and common (not in Y1?) reconstruction • Matching dust profiles With SPASE: Geometry survey – sensitive in depth coordinate (muon tomography sensitive in x,y) With IceTop: Can we do something with 8 tanks?

  11. Ice Properties with first four • Design, build, deploy first dust logger • Adaptable to IceCube holes? • Verify AMANDA dust profile • Ash bands • Flasher data • Optical properties from timing fits • Absorption/scattering below 2100 m • Thermistors • Firm up deep temperature profile • Ice flow model

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