CERN Accelerating science

Video Lectures

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2017-03-22
16:29
Inclusive tagging of B-flavour at LHCb [Vidyo] / Rogozhnikov, Aleksei (speaker) (Yandex School of Data Analysis (RU))
One of the most important procedure needed for the study of CP violation in Beauty sector is the tagging of the flavour of neutral B-mesons at production. The harsh environment of the Large Hadron Collider makes it particularly hard to succeed in this task. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-22
16:06
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DeepFlavour in CMS / Stoye, Markus (speaker) (CERN)
Flavour-tagging of jets is an important task in collider based high energy physics and a field where machine learning tools are applied by all major experiments. A new tagger (DeepFlavour) was developed and commissioned in CMS that is based on an advanced machine learning procedure. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-22
16:06
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Exploring neural networks to improve b-jet tagging with the ALICE detector / Haake, Rudiger (speaker) (CERN)
Highly energetic jets are sensitive probes for the kinematics and the topology of nuclear collisions. Jets are collimated sprays of charged and neutral particles, which are produced in the fragmentation of hard scattered partons in an early stage of the collision. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-22
15:56
Flavor Tagging with Deep Neural Networks at Belle II / Gemmler, Jochen (speaker) (KIT/IEKP)
The Belle II experiment is mainly designed to investigate the decay of B meson pairs from $\Upsilon(4S)$ decays, produced by the asymmetric electron-positron collider SuperKEKB. The determination of the B meson flavor, so-called flavor tagging, plays an important role in analyses and can be inferred in many cases directly from the final state particles. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-22
15:52
Identification of Jets Containing b-Hadrons with Recurrent Neural Networks at the ATLAS Experiment / Guest, Daniel Hay (speaker) (University of California Irvine (US))
A novel b-jet identification algorithm is constructed with a Recurrent Neural Network (RNN) at the ATLAS Experiment. This talk presents the expected performance of the RNN based b-tagging in simulated $t \bar t$ events. [...]
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-22
15:52
Jet reconstruction and heavy jet tagging at LHCb / Sestini, Lorenzo (speaker) (Universita e INFN, Padova (IT))
The jet reconstruction and the heavy jet flavour tagging at LHCb will be discussed with focus on the last published measurements such as the measurement of forward tt, W+bb and W+cc production in pp collisions at √s=8 TeV and the search for the SM Higgs boson decaying in bbbar or ccbar in association to W or Z boson..
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-22
08:39
Recent results from searches for Supersymmetry at ATLAS / Backes, Moritz (speaker) (University of Oxford)
This talk summarizes the latest ATLAS results for searches for supersymmetric (SUSY) particles performed with pp collisions at a centre-of-mass energy of 13 TeV, using the full 2015 and 2016 dataset in many cases. Weak and strong production of SUSY particles in both R-Parity conserving and violating scenarios are considered assuming either prompt decays or longer-lived states..
2017 - Streaming video. LHC Seminar External link: Event details In : Recent results from searches for Supersymmetry at ATLAS

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2017-03-21
16:34
Neutrinos / Hernandez, Pilar (speaker) ; Bordoni, Stefania (speaker) (CERN)
Neutrinos remain enigmatic and elusive particles. They are invaluable astronomical and terrestrial messengers that have provided the first hints of physics beyond the standard model. [...]
2017 - Streaming video. Academic Training Lecture Regular Programme, 2016-2017 External link: Event details In : Neutrinos

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2017-03-21
16:32
Intel and ML / Pabst, Hans (speaker) (Intel Corp.)
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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2017-03-21
13:35
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Nvidia and ML / Altoe, Piero (speaker)
2017 - Streaming video. Machine Learning; IML Machine Learning Workshop External links: Talk details; Event details In : IML Machine Learning Workshop

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