Smiley face

Andrew Larkoski

Visiting Assistant Professor of Physics
Reed College
email: larkoski _AT_ reed.edu
office: Physics 124
phone: 503-517-4864

Curriculum Vitae

Research

I am a theoretical particle physicist with interests in the physics of the Large Hadron Collider (LHC). My research focuses on understanding and modeling jets, which are high-energy collimated streams of particles. Jets are the manifestation of the strong force, quantum chromodynamics, in the highest energy proton collisions at the LHC. Much of my work has been in the development and predictions of observables for probing the substructure of jets. These are fascinating objects and studying them teaches us an enormous amount about fundamental physics!

You can find a list of my papers here: Inspire

Teaching

Fall 2016, Fall 2017: Physics 367, Computational Methods

Spring 2017: Physics 366, Elementary Particle Physics

Fall 2018: Physics 411, General Relativity

Particle Physics Textbook

I am writing a textbook on particle physics appropriate for late undergraduate/early graduate students. It will be published by Cambridge University Press and should be in print by academic year 2019/2020. The book attempts to be a modern, intuitive approach to particle physics, focusing on symmetries and their consequences for the fundamental forces most relevant for particle physics, the strong and weak forces. Exercises and examples utilize results from the LHC, LEP, IceCube, Daya Bay, and other contemporary particle physics experiments.

Links to Recent Talks

2017 CTEQ Summer School
LHC Results Forum
CMS SMP-J Meeting
Undergraduate Research Symposium
UCLA Seminar
Plenary talk at LHCP 2018
2018 CTEQ Summer School
BOOST 2018

Press

Op-Ed in San Jose Mercury News, April 7, 2011
Piece on my student Kaustuv Datta's thesis, Reed Magazine, Sept. 6, 2017
Piece on CMS Open Data Analysis, MIT News, Sept. 29, 2017
Piece on Wu-Ki Tung Award, Reed Magazine, Jan. 31, 2018
Courses We'd Love to Take, Physics 366, Reed Magazine, Sept. 13, 2018

Personal

Links

arXiv
Inspire
LEP Measurements Database
HEPData