Mariel Pettee successfully defends thesis: "Interdisciplinary Machine Learning Methods for Particle ...

Retrieved on: 2021-03-11 23:51:25

Tags for this article:

Physical sciences

Physics

Particle physics

Standard Model

Quantum field theory

Large Hadron Collider

Search for the Higgs boson

Higgs boson

ATLAS experiment

CERN

Large Electron–Positron Collider

Boson

Click the tags to see associated articles and topics

Mariel Pettee successfully defends thesis: "Interdisciplinary Machine Learning Methods for Particle .... View article details on hiswai:

Excerpt

Pettee explained, “my thesis describes machine learning (ML) methods I've created to solve very different problems across high-energy particle physics, ...

Article found on: physics.yale.edu

View Original Article