CERN Accelerating science

Talk
Title Exploring the (Metric) Space of Jets with CMS Open Data
Video
If you experience any problem watching the video, click the download button below
Download Embed
Mp4:Medium
(1000 kbps)
High
(4000 kbps)
More..
Copy-paste this code into your page:
Copy-paste this code into your page to include both slides and lecture:
Author(s) Metodiev, Eric (speaker) (Massachusetts Institute of Technology)
Corporate author(s) CERN. Geneva
Imprint 2019-06-19. - 0:51:23.
Series (EP-IT Data science seminars)
Lecture note on 2019-06-19T11:00:00
Subject category EP-IT Data science seminars
Abstract

When are two collider events similar?  In this talk, I answer this question by developing a metric between the events based on the earth mover's distance: the “work” required to rearrange one event into the other. With a metric in hand, I will focus on exploring the space of jets using using public collider data from the CMS experiment. Among other applications, our metric allows us to visualize the metric space of jets, extract their correlation dimension, perform jet classification, identify the most and least typical jet configurations, and quantify the impact of detector effects in new ways.

 

Copyright/License © 2019-2024 CERN
Submitted by maurizio.pierini@cern.ch

 


 Record created 2019-06-20, last modified 2022-11-02


External link:
Download fulltext
Event details