HL-LHC Regression Model Deep Dive

November 13, 2025·
Arghya Ranjan Das
Arghya Ranjan Das
· 1 min read
Abstract
Presented at the Afternoon Session of the SmartPixels Annual Collaboration Meeting. This talk covers a detailed walthrough of regression model architectures, performance metrics, Soft-Digitization and many new R&D for the High-Luminosity LHC upgrade.
Event
Location

Wilson Hall, Fermilab

Racetrack, 7th floor, Batavia, IL

Note

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SmartPixels Machine Learning HL-LHC Fermilab
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.