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Analyzing CMS Open Collider Data through Topic Modeling(10'+5')

25 Jul 2019, 16:00
15m
32-123 (MIT)

32-123

MIT

https://goo.gl/maps/Wx14Gpe2wRy
Lightning talk Session

Speaker

Radha Mastandrea (Massachusetts Institute of Technology)

Description

In this talk, I investigate jet substructure at the Large Hadron Collider with the CMS Open Data. I analyze a sample of jets from 2.3/fb of 7 TeV proton-proton collisions detected by the CMS experiment in 2011 with the companion simulated (both pre- and post-detector) datasets, focusing on a high-quality sample of jets with transverse momenta restricted to between 375 and 425 GeV. I further move to a specific analysis of jet classification using the unsupervised algorithm of jet topics to provide a new way of defining the categories of quark and gluon jets through their observable properties.

Primary author

Radha Mastandrea (Massachusetts Institute of Technology)

Presentation materials