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20232026
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physics.ins-det2026

Simulations of MAPS designs for FCC-ee

Danush Shekar, Doug Berry, Ron Lipton +1

Future electron-positron colliders such as the future circular collider require vertex detectors with excellent spatial resolution and a low material budget. Monolithic active pixe…

physics.ins-det2026

On-chip probabilistic inference for charged-particle tracking at the sensor edge

Arghya Ranjan Das, David Jiang, Rachel Kovach-Fuentes +31

Modern scientific instruments operate under increasingly extreme constraints on bandwidth, latency, and power. Inference at the sensor edge determines experimental data collection…

physics.ins-det2025

Robustness of the \textit{smartpixels} classifier for different simulated sensor geometries and non-ideal detector conditions

Danush Shekar, Ben Weiss, Morris Swartz +40

Pixel tracking detectors at upcoming collider experiments will see unprecedented charged-particle densities. Real-time data reduction on the detector will enable higher granularity…

physics.ins-det2025

Characterization of a 28 nm ASIC With On-Chip ML for Particle Tracking Detectors

Benjamin Parpillon, Anthony Badea, Danush Shekar +35

We present a 28 nm CMOS pixel readout integrated circuit implementing in-pixel analog signal processing and on-chip machine learning data filtering for particle tracking detectors.…

physics.ins-det2024

Intelligent Pixel Detectors: Towards a Radiation Hard ASIC with On-Chip Machine Learning in 28 nm CMOS

Anthony Badea, Alice Bean, Doug Berry +16

Detectors at future high energy colliders will face enormous technical challenges. Disentangling the unprecedented numbers of particles expected in each event will require highly g…

physics.ins-det2024

Smart Pixels: In-pixel AI for on-sensor data filtering

Benjamin Parpillon, Chinar Syal, Jieun Yoo +16

We present a smart pixel prototype readout integrated circuit (ROIC) designed in CMOS 28 nm bulk process, with in-pixel implementation of an artificial intelligence (AI) / machine…

physics.ins-det2023

Smart pixel sensors: towards on-sensor filtering of pixel clusters with deep learning

Jieun Yoo, Jennet Dickinson, Morris Swartz +19

Highly granular pixel detectors allow for increasingly precise measurements of charged particle tracks. Next-generation detectors require that pixel sizes will be further reduced,…