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Exploring the (Metric) Space of Jets with CMS Open Data
<!--HTML--><div> <div> <div> <p>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 met...
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Lenguaje: | eng |
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2019
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Acceso en línea: | http://cds.cern.ch/record/2679340 |
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author | Metodiev, Eric |
author_facet | Metodiev, Eric |
author_sort | Metodiev, Eric |
collection | CERN |
description | <!--HTML--><div>
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<p>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.</p>
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id | cern-2679340 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
record_format | invenio |
spelling | cern-26793402022-11-02T22:31:43Zhttp://cds.cern.ch/record/2679340engMetodiev, EricExploring the (Metric) Space of Jets with CMS Open DataExploring the (Metric) Space of Jets with CMS Open DataEP-IT Data science seminars<!--HTML--><div> <div> <div> <p>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.</p> <p> </p> </div> </div> </div>oai:cds.cern.ch:26793402019 |
spellingShingle | EP-IT Data science seminars Metodiev, Eric Exploring the (Metric) Space of Jets with CMS Open Data |
title | Exploring the (Metric) Space of Jets with CMS Open Data |
title_full | Exploring the (Metric) Space of Jets with CMS Open Data |
title_fullStr | Exploring the (Metric) Space of Jets with CMS Open Data |
title_full_unstemmed | Exploring the (Metric) Space of Jets with CMS Open Data |
title_short | Exploring the (Metric) Space of Jets with CMS Open Data |
title_sort | exploring the (metric) space of jets with cms open data |
topic | EP-IT Data science seminars |
url | http://cds.cern.ch/record/2679340 |
work_keys_str_mv | AT metodieveric exploringthemetricspaceofjetswithcmsopendata |