Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties

Jennet Dickinson; Rachel Kovach-Fuentes; Lindsey Gray; Morris Swartz; Giuseppe Di Guglielmo; Alice Bean; Doug Berry; Manuel Blanco Valentin; Karri DiPetrillo; Farah Fahim; James Hirschauer; Shruti R. Kulkarni; Ron Lipton; Petar Maksimovic; Corrinne Mills; Mark S. Neubauer; Benjamin Parpillon; Gauri Pradhan; Chinar Syal; Nhan Tran; Dahai Wen; Jieun Yoo; Aaron Young

arXiv · 2312.11676

Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties

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Abstract

The combinatorics of track seeding has long been a computational bottleneck for triggering and offline computing in High Energy Physics (HEP), and remains so for the HL-LHC. Next-generation pixel sensors will be sufficiently fine-grained to determine angular information of the charged particle passing through from pixel-cluster properties. This detector technology immediately improves the situation for offline tracking, but any major improvements in physics reach are unrealized since they are dominated by lowest-level hardware trigger acceptance. We will demonstrate track angle and hit position prediction, including errors, using a mixture density network within a single layer of silicon as well as the progress towards and status of implementing the neural network in hardware on both FPGAs and ASICs.

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Jennet Dickinson, Rachel Kovach-Fuentes, Lindsey Gray, Morris Swartz, Giuseppe Di Guglielmo, Alice Bean, Doug Berry, Manuel Blanco Valentin, Karri DiPetrillo, Farah Fahim, James Hirschauer, Shruti R. Kulkarni, Ron Lipton, Petar Maksimovic, Corrinne Mills, Mark S. Neubauer, Benjamin Parpillon, Gauri Pradhan, Chinar Syal, Nhan Tran, Dahai Wen, Jieun Yoo, Aaron Young. 2023-12-18. Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties. https://arxiv.org/abs/2312.11676

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