IRIS-HEP Fellow: Sean Condon
Fellowship dates: Jun – Aug, 2020
Home Institution: Massachusetts Institute of Technology
Project: Developing selection algorithms to reduce output data rate from the Large Hadron Collider
The LHCb experiment at the Large Hadron Collider produces around 40 Tbits/s of data while running. The main goal of this project is to develop multivariate algorithms for run 3 of the LHCb experiment to select the interesting parts of this immense amount of data and discard the rest in real-time using only GPUs. To accomplish this, I will develop and evaluate many possible multivariate algorithms to find the best fitted for this task, and then deploy these into the baseline algorithm repository for LHCb run 3.More information: My project proposal
Mentors:
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Michael Williams (MIT)
- 28 Sep 2020 - "Particle decay classifiers for the LHCb Run 3 first-level trigger", Sean Condon, IRIS-HEP Topical Meetings Recording: Particle decay classifiers for the LHCb Run 3 first-level trigger
Current Status
February 2022 - Machine Learning Engineer at Deepcell Inc.
Contact me: