In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors

We present the first physical realization of in-pixel signal processing with integrated AI-based data filtering for particle tracking detectors. Building on prior work that demonstrated a physics-motivated edge-AI algorithm suitable for ASIC implementation, this work marks a significant milestone toward intelligent silicon trackers. Our prototype readout chip performs real-time data reduction at the sensor level while meeting stringent requirements on power, area, and latency. The chip is taped-out in 28nm TSMC CMOS bulk process, which has been shown to have sufficient radiation hardness for particle experiments. This development represents a key step toward enabling fully on-detector edge AI, with broad implications for data throughput and discovery potential in high-rate, high-radiation environments such as the High-Luminosity LHC.

Publication Details

Journal
ArXiv.org
Published
2025-10-08
Primary Topic
Metamaterials and Metasurfaces Applications
Type
article
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article

In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors

ArXiv.org
Metamaterials and Metasurfaces Applications
article

In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors

article en

Abstract

We present the first physical realization of in-pixel signal processing with integrated AI-based data filtering for particle tracking detectors. Building on prior work that demonstrated a physics-motivated edge-AI algorithm suitable for ASIC implementation, this work marks a significant milestone toward intelligent silicon trackers. Our prototype readout chip performs real-time data reduction at the sensor level while meeting stringent requirements on power, area, and latency. The chip is taped-out in 28nm TSMC CMOS bulk process, which has been shown to have sufficient radiation hardness for particle experiments. This development represents a key step toward enabling fully on-detector edge AI, with broad implications for data throughput and discovery potential in high-rate, high-radiation environments such as the High-Luminosity LHC.

ArXiv.org
Openalex Percentile: Top 61%
Metamaterials and Metasurfaces Applications
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In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors · ArXiv.org (2025) | TGRS Research Map | TGRS