Smart Pixels

November 1, 2025 · 1 min read

Smart Pixels is a project focused on implementing machine learning models directly on silicon pixels or future detectors to enhance the inference of charged particle track parameters.

Machine Learning Particle Physics Hardware
Arghya Ranjan Das
Authors
Arghya Ranjan Das (he/him)
Ph.D. Student | LPC G&V Fellow

Hi, I am a Ph.D. student at Purdue University and currently based at Fermilab as an LPC G&V Fellow, working on the CMS experiment. My current work focuses on Di-Higgs searches, machine-learning solutions for real-time detector readout, and Outer Tracker upgrades.

I am also interested in theoretical astrophysics, cosmology, and high-energy physics.