Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties
Abstrak
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.
Topik & Kata Kunci
Penulis (23)
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
Akses Cepat
- Tahun Terbit
- 2023
- Bahasa
- en
- Sumber Database
- arXiv
- Akses
- Open Access ✓