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Calibration and Validation of IceTop DAQ Systems for Cosmic Ray Detection

This document outlines the calibration and validation processes for the IceTop Data Acquisition (DAQ) systems, focusing on performance metrics such as tagging efficiency and event identification. IceTop employs advanced techniques to achieve high-resolution cosmic ray measurements, using dual Ice Tanks and multiple Digital Optical Modules (DOMs). The text also describes various data types generated from tank hits, including muon events, waveforms, and real-time processing rates. Highlights include features such as local coincidence checks, integration of advanced algorithms for event recognition, and an overview of system requirements for effective DAQ operation.

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Calibration and Validation of IceTop DAQ Systems for Cosmic Ray Detection

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  1. D. Seckel

  2. IceTop Science • Calibration - (x, E, q) • Validation – tagging 5% (m) • Veto – 1 km2 sr, E > 100 TeV (?) • Cosmic ray & particle physics D. Seckel

  3. Two Ice Tanks 3.6 m2 x 1 m To DAQ IceCube Drill Hole Two DOMs: 10” PMT High Gain w/station coincidence: 1 p.e. resol Low Gain: 1 mresol LG HG HG LG ~15 m IceTop Station Schematic D. Seckel

  4. Data Types & Rates • Single “Tank hits” (Muons + Ee > 30 MeV [tbd]) • id (1), time (4), fit parameters(7) – 12 bytes [possible] • 2500 Hz * 12 B = 30 KBps/DOM • Soft Component: “Station hits” • Check for local coincidence (two tanks) • Rshowers ~ 50-100 Hz • Runcorrelated coincidence ~ 1.25 Hz (For 2500 Hz, 100 ns) • Mostly simple fits < 1 KBps/DOM • Waveforms • 95% consistent with impulsive event: FX data only • 5% not impulsive, return compressed waveform: CWF ~ 100 B • rate 100 Hz + Scaled selection of minimum bias events ~ 10 Hz • 200 Hz * 100 B = 20 KBps/DOM D. Seckel

  5. Requirements D. Seckel

  6. Common Event Builder IceTop DAQ components Monitoring DOMs (320) LG DOM Tank 1 InIce Trig.Gen. Vert. Sh. Trigger HG DOM Station 1 DOM Hubs (10) 10 Hz Hor. Sh. Trigger HG DOM Tank 2 IceTop Data Handler IceTop Data Handler LG DOM IceTop Data Handler (IDH) Global Trigger Station 2 DAQ Control 32 MB/s . . . . 100 kB/s Station 80 On line InIce DATA D. Seckel

  7. IceTop FPGA Projection of muon waveform onto four basis functions & reconstruction. Rate + Bandwidth m: Advanced feature recognition Þ Shower vs Background e+ e– g: 2-tank coincidence Þ 2-level trigger, fast ATWD decision Rate + Livetime Þ 10 ns + synch. trigger Advanced feature recognition Þ Projection of string-18 SPE waveform w/pedestal & reconstruction. D. Seckel

  8. IDH and Trigger Separate Monitor Data Monitoring Time Correction In-Ice Trigger DAQ Control Pre-process Science Data Shower Trigger Hubs Horz. Shower Trigger Calibration Trigger IceTop Data Buffers Global Trigger IceTop DB Access Common Event Builder Online D. Seckel

  9. IceTop DAQ Development • Requirements • Acquire Test Data • Digital design • Design Þ Firmware • Bench test • PY-03 Pole-DAQ • Requirements • Modify In-Ice DAQ • Test at UD-station • Review (9-1-04) • Install & Test • Deliver • Pre-DAQ Design & Test • FPGA • IDH & Triggers • Review Components • Deliver algorithms/data formats/implementations FPGA • 4 months • IceTop DAQ v1 • Initial Design • Interface with In-Ice FPGA • Implement and bench test • SW – inc. IDH & Triggers • Test at UD-station • Assessment 8-31-2004 1-31-2005 } • Acquire DAQ Simulation • SPE, muon, shower • High Gain, Low Gain • Coincidence logic UD Test • IceTop DAQ v1.1 • Monitoring • Calibration 5-31-2005 • IceTop DAQ v2 • Design Review • Build • Test at UD-station • Station test at Pole • Array test at Pole 7-31-2005 • In-Ice/IceTop Integrated DAQ • CONUS tests • Tests at Pole • Acceptance Milestone 2-28-2006 6-30-2006 D. Seckel

  10. Issues • Discovery phase for FPGA • Requirements for yr 1 DAQ • Linearity of LG DOMs • Performance of IDH/trigger D. Seckel

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