研究目的
Investigating the performance of CMOS pixel sensor prototypes in ams H35 and aH18 technology for the ATLAS ITk upgrade.
研究成果
The study demonstrates that large-scale CMOS pixel sensors in ams technology can achieve high detection efficiencies above 99% and are suitable for the outer layer of the ATLAS ITk upgrade. The prototypes show promising results in terms of radiation tolerance and integration of readout electronics, but further tests, especially on irradiated samples, are necessary to confirm their suitability for high-luminosity LHC conditions.
研究不足
The study is limited to unirradiated samples for ATLASPix1, and further tests are needed to verify performance under irradiation. The efficiency measurements for ATLASPix1 are preliminary and may be affected by systematic effects like known-bad pixels and tuning effects.
1:Experimental Design and Method Selection:
The study involves testing large-scale pixel sensor prototypes, H35DEMO and ATLASPix1, produced in ams H35 and aH18 CMOS technologies, respectively. These prototypes are evaluated for their performance in terms of radiation tolerance and detection efficiency.
2:Sample Selection and Data Sources:
The prototypes are tested in beam test setups at Fermilab MTEST facility and CERN north area beam facilities using high-energy proton and mixed hadron beams.
3:List of Experimental Equipment and Materials:
The prototypes include integrated amplifiers and comparators, with some configurations using external readout chips like FE-I
4:The setup also involves a Geneva beam telescope for reference track measurements. Experimental Procedures and Operational Workflow:
The operational performance is tested by measuring particle positions using the beam telescope and comparing them with the sensor outputs. The data acquisition involves systems like RCE/HSIO2 for H35DEMO and a custom FPGA-based system for ATLASPix
5:Data Analysis Methods:
Particle tracks are reconstructed using Proteus software, which performs hit clustering, position estimation, and detector alignment. Efficiency and residuals are calculated to evaluate performance.
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