Conveners
Modern tools in detection and data analysis in particle physics and astrophysics
- Christophorus Grab (ETH Zurich (CH))
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Fedor Ratnikov (Yandex School of Data Analysis (RU))22/08/2018, 14:00
New methods of big data analysis, data mining, data generations and data adaptation are widely used in many different areas of the modern society. This is mostly a result of fruitful cooperation between corresponding business experts and experts in relevant areas of the computing science. Natural sciences however, especially those frontiers like particle physics and cosmology at their extremes...
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Maurizio Pierini (CERN)22/08/2018, 14:30
In this talk, I review some of the big challenges that will come with High-Luminosity LHC
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and how Deep Learning could be used as a paradigm-shift solution to face such a challenge.
Reviewing existing proof-of-principle studies, I will discuss how the usage of Deep Learning solutions
could alleviate the task of collecting, processing, monitoring and analysing the large datasets
that the LHC... -
Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))22/08/2018, 15:00
In this talk, I’ll focus on an exceptional way of doing data-driven research employing networked community. Many examples of collaboration with the data-science community within competitions organised on Kaggle or Coda Lab platforms usually get limited by restrictions on those platforms. Common metrics do not necessarily correspond to the goal of the original research. Constraints imposed by...
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