IRIS-HEP Fellow: Andrii Len
Fellowship dates: Jun – Sep, 2022
Jul – Sep, 2023
Jun – Aug, 2024
Home Institution: Taras Shevchenko National University of Kyiv
Project: The usage of Deep Learning for QCD background estimation
The focus of the present project is to find optimal deep learning models to be used for the separation of signal and background events.
More information: My project proposal
Mentors:
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Ece Asilar (CERN)
Project: Predict CMS data popularity to improve its availability for physics analysis
The focus of the project is to aggregate and extract data usage information, find data’s features and optimal Machine Learning models to predict the probability that a dataset will be accessed in the next month.
More information: My project proposal
Mentors:
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Dmytro Kovalskyi, Rahul Chauhan, Hasan Ozturk
Project: Topological Rare Hadron Decay Tagging with DNN. Deep neural net topological tagger for rare hadron decay identification
Оne of the main challenges of this project will be to identify and build an effective DNN architecture to train a new model that will not only match BDT in performance but gives a significant improvement to the analysis sensitivity.
More information: My project proposal
Mentors:
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Dmytro Kovalskyi (MIT)
- 19 Oct 2022 - "The usage of Deep Learning for QCD background estimation", Andrii Len, IRIS-HEP Fellows Presentations 2022 Recording: The usage of Deep Learning for QCD background estimation
Current Status
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