Publications

Below is a list of my publications. Links to journal pages, preprints, and software are given wherever possible. Special remarks are indicated by the symbol ★. Papers are listed in reverse-chronological order. Following the convention in particle physics, all authors are listed alphabetically from 2016 onward.

2020

Journal of High Energy Physics, 07 2020:006, 2020
Physical Review Letters, 124 182001, 2020
Physical Review D, 101 036019, 2020
Physical Review D, 101 034009, 2020

2019

Journal of High Energy Physics, 10 2019:014, 2019
SciPost Physics, 7 014, 2019
Physical Review Letters, 123 041801, 2019
★ Selected as a PRL Editors’ Suggestion. Featured in an APS Physics Viewpoint.
Journal of High Energy Physics, 01 2019:121, 2019

2018

Journal of High Energy Physics, 11 2018:059, 2018
Physical Review D, 98 011502, 2018
Physical Review Letters, 120 241602, 2018
★ Selected as a PRL Editors’ Suggestion. Featured in an APS Physics Synopsis.
Journal of High Energy Physics, 04 2018:013, 2018

2017

Journal of High Energy Physics, 12 2017:051, 2017
Journal of High Energy Physics, 10 2017:174, 2017
Journal of High Energy Physics, 01 2017:110, 2017

2016

Review of Scientific Instruments, 87 115116, 2016
Nature Communications, 7 11712, 2016

2015

Nuclear Instruments and Methods in Physics Research, A 797, 2015

2014

Physical Review Special Topics - Accelerators and Beams, 17 074002, 2014

Talks

2020

The Hidden Geometry of Particle Collisions
Data ex Machina: Machine Learning with Public Collider Data
Data ex Machina: Machine Learning with Jets in CMS Open Data

2019

Metric Methods with Open Collider Data
Exploring the (Metric) Space of Collider Events with CMS Open Data
The Space of Collider Events
Exploring the (Metric) Space of Jets with CMS Open Data
Analyzing Jet Substructure with Energy Flow
Exploring the (Metric) Space of Collider Events
Exploring the (Metric) Space of Collider Events
Towards Data-Driven Particle Physics Classifiers
Exploring the (Metric) Space of Collider Events
Exploring the (Metric) Space of Collider Events

2018

Disentangling Jet Categories at Colliders
On the Topic of Jets: An Operational Definition of Quark and Gluon Jets
Jet Physics & Modern Machine Learning

2017

Weak Supervision in High Dimensions
A complete, linear basis for (machine) learning jet substructure
(Machine) Learning to Remove Pileup at the LHC
Learning to Remove Pileup at the LHC with Jet Images
Pileup Mitigation with Machine Learning

2014

Fringe E-Fields of Deflectors in the Storage Ring pEDM Experiment

Recent Posts

Eric M. Metodiev

The fractal physics that creates jets and their substructure at the Large Hadron Collider.

Eric M. Metodiev

Diving into collider events recorded by the CMS detector at the LHC in a matter of minutes.

Eric M. Metodiev

Overcoming a reliance on simulation to train classifiers directly on real collider data.

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