Dear all,
this is to inform you of the following seminar at KIAS HEP.
We look forward to your coming.
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Zoom Codes for KIAS HEP zoom seminars :
* make sure you are mute, unless you are speaking
* can ask questions any time with unmuting
* video preferred when asking a question and discuss
* please use your first and last name on Zoom.
Nickname or abbreviation is not allowed
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======== seminar ==============================================
Date: Tuesday 22th Dec 2020, 10:00 - 11:30 KST <x-apple-data-detectors://0>
Place: Online (Zoom)
Join Zoom Meeting
https://us02web.zoom.us/j/85320903331?pwd=MG9zNEpoY3dOTDR1c0pTaS8xdG1Sdz09 ;
<https://us02web.zoom.us/j/85320903331?pwd=MG9zNEpoY3dOTDR1c0pTaS8xdG1Sdz09>
Meeting ID: 853 2090 3331
Passcode: 502728
Speaker
Taegyun Kim
Title
A W± polarization analyzer from Deep Neural Networks
Abstract
We train a Convolutional Neural Network to classify longitudinally and
transversely polarized hadronic W± using the images of boosted W± jets as
input. The images capture angular and energy information from the jet
constituents that are faithful to the properties of the original
quark/anti-quark W± decay products without the need for invasive substructure
cuts. We find that the difference between the polarizations is too subtle for
the network to be used as an event-by-event tagger. However, given an ensemble
of W ± events with unknown polarization, the average network output from that
ensemble can be used to extract the longitudinal fraction fL. We test the
network on Standard Model pp → W±Z events and on pp → W±Z in the presence of
dimension-6 operators that perturb the polarization composition.
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Sincerely,
Minho Kim
mhkim90@xxxxxxxxxx <mailto:mhkim90@xxxxxxxxxx>