Publications (6)
Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties
Jennet Dickinson, Rachel Kovach-Fuentes, Lindsey Gray +20
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-g…
Hadronic Mono- Probes of Dark Matter at Colliders
Ryan Holder, John Reddick, Matteo Cremonesi +5
Particle collisions at the energy frontier can probe the nature of invisible dark matter via production in association with recoiling visible objects. We propose a new potential pr…
On-chip probabilistic inference for charged-particle tracking at the sensor edge
Arghya Ranjan Das, David Jiang, Rachel Kovach-Fuentes +32
Modern scientific instruments operate under increasingly extreme constraints on bandwidth, latency, and power. Inference at the sensor edge determines experimental data collection…
In-pixel integration of signal processing and AI/ML based data filtering for particle tracking detectors
Benjamin Parpillon, Anthony Badea, Danush Shekar +32
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 demonst…
4-Dimensional Trackers
Doug Berry, Valentina Cairo, Angelo Dragone +14
4-dimensional (4D) trackers with ultra fast timing (10-30 ps) and very fine spatial resolution (O(few m)) represent a new avenue in the development of silicon trackers, enablin…
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…