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Merge pull request #95 from drkovalskyi/main
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Create rare-decays-dnn.yml
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davidlange6 authored Apr 15, 2024
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name: Topological Rare Hadron Decay Tagging with DNN
postdate: 2024-04-15
categories:
- Analysis tools
durations:
- 3 months
experiments:
- CMS
skillset:
- Python
- ML
- Linux
- Git
status:
- Available
project:
- IRIS-HEP
location:
- Remote
commitment:
- Full time
program:
- IRIS-HEP fellow
shortdescription: Deep neural net topological tagger for rare hadron decay identification
description: >
The CMS experiment provides a unique opportunity to study extremely rare hadron
decays due to a significantly larger amount of data compared with the LHCb and
Belle II experiments. The main challenge is to identify such decays and suppress
associated backgrounds in the high pile-up environment. In this project, we will
use a Deep Neural Network to develop a new method of tagging such decays using
topological information to identify the relevant charged tracks associated with
the decays of interest. The project requires familiarity with machine learning
algorithms and tools to build and train deep neural networks. It will involve
testing different DNN types and feature engineering.
contacts:
- name: Dmytro Kovalskyi
email: [email protected]
mentees:

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