Simulation of the ATLAS High Granularity Timing Detector geometry in the ATLAS framework

26 Oct 2023, 10:20
10m
Oral Presentation DETECTORS AND FUTURE EXPERIMENTAL FACILITIES Detectors and Future Experimental Facilities

Speaker

Hanane Riani (Université Mohammed Premier Oujda (MA))

Description

The increase of the particle flux (pile-up) at the HL-LHC with instantaneous luminosities up to L ≃ 7.5 × 10$^{34}$ cm$^{−2}$s$^{−1}$ will have a severe impact on the ATLAS detector reconstruction and trigger performance. The end-cap and forward region where the liquid Argon calorimeter has coarser granularity and the inner tracker has poorer momentum resolution will be particularly affected. A High Granularity Timing Detector (HGTD) will be installed in front of the LAr end-cap calorimeters for pile-up mitigation and luminosity measurement.
The HGTD is a novel detector introduced to augment the new all-silicon Inner Tracker in the pseudo-rapidity range from 2.4 to 4.0, adding the capability to measure charged-particle trajectories in time as well as space. Two silicon-sensor double-sided layers will provide precision timing information for minimum-ionizing particles with a resolution as good as 30 ps per track in order to assign each particle to the correct vertex. Readout cells have a size of 1.3 mm × 1.3 mm, leading to a highly granular detector with 3.7 million channels. Low Gain Avalanche Detectors (LGAD) technology has been chosen as it provides enough gain to reach the large signal over noise ratio needed.
To simulate the HGTD detector, a format based on XML has been used to define the descriptions of the detector. However, further refinement is required to align the geometry and material descriptions with the latest design of mechanical and electrical components, including related services outside the HGTD volume that may impact the overall performance of the ATLAS detector. In addition, to ensure the accuracy and reliability of the geometry implementation an automated validation procedure is implemented to continually assess the status of the geometry implementation in the ATLAS framework.

Primary author

Hanane Riani (Université Mohammed Premier Oujda (MA))

Presentation materials