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IceCube Deployment Monitoring System (PTS)

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Presentation on theme: "IceCube Deployment Monitoring System (PTS)"— Presentation transcript:

1 IceCube Deployment Monitoring System (PTS)
Kurt Woschnagg, Ryan Bay UC Berkeley IceCube Collaboration Meeting, Bartol, March 2004

2 Requirements during deployment
How deep is the string? Is it still moving – or is it s***k? Save data for post-deployment analysis

3 Post-deployment requirements
Analyze data: drop speed deployment speed string stretching Monitor freeze-in (p, T) Ambient temperature profile

4 temperature pressure drill

5 Pressure sensors Both used in AMANDA Specs and quotes in docushare
Paro[scientific] m, also temp. RS232/RS485 Temperature corrected $6k Keller m (formerly 2000 m) Needs temperature correction Calibration curves supplied $0.7k Both used in AMANDA Specs and quotes in docushare

6 Thermistors Omega, model no. 4403x Working range: -80 to +75 C
Resistance (100’s kΩ-MΩ) → temperature (using calibration chart) 0.1 degree accuracy Leads spliced to service wires, molded onto breakout Used in AMANDA Specs and quote in dosushare

7 Cable considerations Use DOM breakout locations
Paro: 4 wires (=2 pairs), slipring Keller: 2 pairs, slipring Thermistors: 1 pair All strings: Paro at bottom (breakout 30) Keller (+thermistor?) at ~1900 m (b/o 15) First 4 strings: Additional Paro at top of instrumented section (b/o 1), using LC quad Four thermistors in bottom 400 m Surface cable: no wires needed for pressure sensors

8 Stand-alone DAQ (laptop with RS232/485) or Integrated with drill
b/o 1 b/o 15 b/o 30 Stand-alone DAQ (laptop with RS232/485) or Integrated with drill monitoring system

9 Issues Responsibilities Paro readout rate: DAQ
RS232 (300 baud) → RS485 (9600 baud?) DAQ Integration Data merging Readout during freeze-in


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