Higgs Diphoton Analysis with Graph Attention Models
Rebuild a Higgs diphoton analysis, train a graph attention model for photon quality, and compare how much it improves signal separation.
Rebuild a Higgs diphoton analysis, train a graph attention model for photon quality, and compare how much it improves signal separation.
Build a cloud chamber, classify particle tracks with CNNs, and test how muon flux changes with altitude using clear physics measurements.
Measure ferrofluid spike spacing, test magnetic thresholds, and connect your data to capillary theory with image analysis and clean controls.
Track insect wing motion from video, build a flapping model, and test low-Re aerodynamics with real data, calibration, and comparison.
Build a low-cost meteor camera network and practice triangulation, deceleration fitting, and density estimation from night-sky data.
Measure when graphite-filled composites start conducting, then compare your data with percolation theory and NumPy simulations.
Measure bubble collapse with phone slow-motion, fit radius-time curves, and compare your data to Rayleigh-Plesset predictions.
Design a muon tomography detector in Geant4, test angular resolution trade-offs, and model how geometry affects void finding in pyramids.
Build a dimuon resonance search with CMS Open Data, tune a BDT, and propagate systematics with pyhf to test low-mass Z’ models.
Use high-speed phone video to measure chain-fountain motion, compare chain types, and test competing theories with velocity profiles.