Welcome to my blog! I am a postdoctoral fellow at Caltech, working on advancing our understanding of the early universe with artificial intelligence (AI) and the CMS experiment at the CERN Large Hadron Collider. More information about my research is available at raghavkansal.com.

In my spare time, I sometimes prepare notes and tutorials on various topics in particle physics and AI / machine learning (ML). I figured this blog might be a good place to share them, along with some miscellaneous thoughts and my experiences in the field. Hopefully, you find something useful here, and feel free to reach out with any questions or suggestions!

Notes and Tutorials

Notes on symmetries, quantum field theory, and the standard model
Interactive Python tutorials for statistics in high energy physics (HEP)
Hands-on tutorials on ML for HEP, which I maintain on behalf of the Fermilab LHC Physics Center
Notes on the LHC and CMS experiments (Part II of my dissertation)

Featured Posts

Dissertation Done!

January 5, 2025

What better first post for my blog than to share that my doctoral dissertation, Understanding the High Energy Higgs Sector with the CMS Experiment and Artificial Intelligence, was approved last month! In it, I write about my PhD work on searches for pairs of Higgs bosons produced at the CERN Large Hadron Collider (LHC) with the CMS experiment, and several new machine learning (ML), generative AI, and equivariant / geometric deep learning techniques for enabling such searches with fast simulation, improved classification, and anomaly detection algorithms.

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