20–22 Mar 2018
University of Washington Seattle
US/Pacific timezone

HL-LHC ATLAS Strip System Robustness

20 Mar 2018, 17:30
15m
Physics-Astronomy Auditorium A118 (University of Washington Seattle)

Physics-Astronomy Auditorium A118

University of Washington Seattle

Poster 2: Real-time pattern recognition and fast tracking Poster

Speakers

Natasha Lee Woods (University of California,Santa Cruz (US))Ms Natasha Woods (UCSC)

Description

The High Luminosity LHC (HL-LHC) plans to increase the LHC dataset by an order of magnitude, increasing the potential for new physics discoveries. The HL-LHC upgrade, planned for 2025 will increase the peak luminosity to 7.5×10^34cm^-2s^-1, corresponding to ~200 inelastic proton-proton collisions per beam crossing. To mitigate the increased radiation doses and pileup, the ATLAS Inner Detector will be replaced with an all-Silicon Inner Tracker made of Silicon Pixel and Strip systems. During the life-time of the HL-LHC, failures in the Strip system due to electronic and cooling failures and irradiation damage are expected. Estimating the effects of such failures is necessary to ensure the Strip system design is robust. In this poster the effects of the failures in the Strip system on the tracking performance are presented. With the planned ATLAS Strip system design the tracking efficiency, fake rates and resolutions are found to be robust to the anticipated failures.

Primary author

Natasha Lee Woods (University of California,Santa Cruz (US))

Presentation materials