IRIS-HEP Fellow: Natalie Bruhwiler
Fellowship dates: May – Aug, 2022
Home Institution: University of California, Berkeley
Project: Muon Collider Tracking Software
A muon-collider is an option for future high-energy physics. However, because of the short lifetime of a muon, the detector has to cope with a large rate of beam-induced background caused by muon decay products. The algorithms used for charged particle reconstruction (tracking) need to successfully differentiate this noise from products of the main muon-muon collision, which results in a very large conbinatorial problem. This project involves investigating how the tracking algorithms can be improved and, if time allows, focusing on the optimization of the algorithm and the detector layout.More information: My project proposal
Mentors:
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Simone Pagan Grisio (Lawrence Berkeley National Laboratory)
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Sergo Jindariani (Fermilab)
- 13 Jun 2022 - "Muon Collider Tracking Software", Natalie Bruhwiler, IRIS-HEP Lightning Talks Recording: Muon Collider Tracking Software
- 23 Aug 2022 - "Reducing fake tracks for the Muon Collider Detector", Natalie Bruhwiler, MCC Physics and Detector Simulation
- 21 Sep 2022 - "Reducing fake tracks for the Muon Collider Detector", Natalie Bruhwiler, IRIS-HEP Fellows Presentations 2022 Recording: Reducing fake tracks for the Muon Collider Detector
Current Status
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