FCAL-Oriented R&D I: Electromagnetic Radiation Damage Studies BeamCal instrument expected to receive up to 100 Mrad per year of electromagnetically-induced.

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Presentation transcript:

FCAL-Oriented R&D I: Electromagnetic Radiation Damage Studies BeamCal instrument expected to receive up to 100 Mrad per year of electromagnetically-induced radiation SLAC Experiment T506 uses End Station Test Beam directed on 7 X 0 of Tungsten radiator to generate EM showers Doses of up to 220 Mrad absorbed by various types of Si diode sensors as well as GaAs bulk sensors

Electromagnetic Radiation Damage Studies: Selected Results N-type magnetic Czochralski bulk Si diode detector irradiated to 220 Mrad Increase in depletion voltage and decrease in charge-collection observed, but performance still adequate for calorimetry N-type float-zone bulk Si diode detector irradiated to 90 Mrad Increase in depletion voltage but no decrease in charge-collection observed; some improvement in depletion voltage obtained with controlled annealing

Electromagnetic Radiation Damage Studies: Outlook and Plans At 600 V bias, see about 4.8 fC of collected charge (one of two GaAs sensors from JINR/Tomsk that was irradiated in the second run of T506) GaAs sensor response: pre-irradiation GaAs-9 Near-Term Plans: Complete annealing studies for Si diode sensors Perform charge collection evaluation of two GaAs sensors, which were irradiated to 5 and 20 Mrad, respectively Perform GaAs annealing studies, as warranted Longer-Term Plans: Further running of T506 in spring/summer 2015 GaAs to 100 Mrad, as warranted NC sensor to 500 Mrad NF, PC, PF sensors to 200 Mrad More controlled annealing studies  Very much at mercy of LCLS beam conditions unless a 2 nd kicker magnet is installed in the ESTB!!!

FCAL-Oriented R&D II: BeamCal Design and Performance Simulations Have developed local computer system to analyze simulated BeamCal background and signal (physics major Christopher Milke) Have implemented flexible tiling scheme for BeamCal sensors Will explore performance vs. tiling scheme and granularity; also will compare “competing” reconstruction algorithms

layer 8 Cautionary Note: Signal to Noise Much worse than DBD Colorado (DBD): Mean background x100 mean signal SiD02:Mean background x500 mean signal DBD SiD02

But even worse… For SiDLoi3 model, which we currently believe to be the accurate representation, signal is about the same as for SiD02 but background another x2 worse See expected improvement with inclusion of Anti-DID field but starting point is worse “OLD” = SiD02“NEW” = SidLoi3

FCAL-Oriented R&D II: BeamCal Design and Performance Simulations At right: BeamCal signal reconstruction efficiency (SCIPP algorithm) as a function of radius from nominal beam trajectory, but with SiD02 model. “Sigma Cut” of 4.0 required to ensure that less than 10% of background-only events give false positives Looking also at energy, position resolution of reconstruction algorithms; comparative performance studies expected by October LCWS meeting (Belgrade)