1 US Testing Update-Anthony AffolderTracker Meeting, Feb 10, 2004 Faulty Channel Sources (TOB) Fault Sources (excluding cable breaks and CMN)  Hybrid-0.004%  Sensor (in DB)-0.26%  Sensor (not in DB)-0.13% Either high noise and/or visible sensor damage  Bonding-0.001%  Testing-0.002% Total faults – 0.39%  We introduce less than 0.01% bad channels per module on average Grade A Grade B Grade C

2 US Testing Update-Anthony AffolderTracker Meeting, Feb 10, 2004 Module Testing Protocol Module testing has matured greatly with the production of >50 modules  A minimum set of tests was defined Using ARCS software/hardware  Fault finding algorithms are now tuned to maximize fault finding and fault type identification, while minimizing false bad channel flagging Noise performance and shielding standardization has allowed for the same fault finding algorithms to work on the TIB, TEC & TOB modules  Minimize the effects of external noise sources  Results can be combined for the same module type measured at different sites in order to further refine testing Testing procedures are now almost automated  Work to automate testing  fault finding  module grading  database entry underway

3 US Testing Update-Anthony AffolderTracker Meeting, Feb 10, 2004 Fault Finding Using ARCS (1) Noisy 1 sensor open 2 sensor open Pinholes Bad Channel Flags Noise Measurement Pulse Height Measurement (Using Calibration Pulse) Bad Channel Flags Shorts Pinhole Opens

4 US Testing Update-Anthony AffolderTracker Meeting, Feb 10, 2004 Fault Finding Using ARCS (2) Pinhole Test (Using LED System) LED Intensity Calibration Injection Response Pinhole Average Subtracted Peak Time (Calibration Pulse) 1 sensor open 2 sensor open Pinholes Channel Average Subtracted Peak Time (ns) Bad Channel Flags

5 US Testing Update-Anthony AffolderTracker Meeting, Feb 10, 2004 Fault Finding Using ARCS (3) Test failures are correlated in order to diagnose fault type  Open (1 or 2 sensor)  Short  Pinhole/Saturated Channel  Noisy Channels  Mid-sensor opens Faults are found >99% with correct fault type identified ~90% of the time  Misidentification is almost always between 1 or 2 sensor opens  Less than.1% of good channel flagged as faulty  As more modules are built, fault finding criteria will be re-tuned to improve performance  Integrated into ARCS software by Aachen Database output of module testing is being finalized  Similar tuning of fault finding underway for DAQ-based systems

6 US Testing Update-Anthony AffolderTracker Meeting, Feb 10, 2004 Test Stand Cross-calibration All ARCS systems have had first iteration of cross-calibrations Modules are circulated between testing centers  Multiple examples of common problems are added to each module Shorts (neighbors & next- to-neighbors) Opens (sensor-sensor & PA- sensor) Pinholes With new qualification standards, results nearly identical