Skip to content

Commit

Permalink
Added image and page markup file to chrisbranch (#1869)
Browse files Browse the repository at this point in the history
* Added image and page markup file to chrisbranch

* Update chrissellgren.md

---------

Co-authored-by: Chris Sellgren <[email protected]>
Co-authored-by: Rob Tuck <[email protected]>
  • Loading branch information
3 people authored Jun 29, 2023
1 parent 5701832 commit a87fe0f
Show file tree
Hide file tree
Showing 2 changed files with 24 additions and 0 deletions.
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
24 changes: 24 additions & 0 deletions pages/fellows/2023/chrissellgren.md
Original file line number Diff line number Diff line change
@@ -0,0 +1,24 @@
layout: fellow
pagetype: fellow
shortname: chrissellgren
permalink: /fellows/chrissellgren.html
fellow-name: Chris Sellgren
title: Chris Sellgren - IRIS-HEP Fellow
active: True
dates:
start: 2023-06-19
end: 2023-09-10
photo: /assets/images/team/fellows-2023/Chris-Sellgren.jpg
institution: University of California, Santa Barbara
e-mail: [email protected]
focus-area: Analysis Systems
project_title: Improving Performance of Track Reconstruction Algorithms in a Muon Collider Detector
project_goal: >
A muon collider is one of the most promising prospects for the near future of experimental high energy physics. Such a collider would push the energy frontier and open up possibility for precision measurement studies with a compact and sustainable accelerator design. However, the short lifetime of the particles in the beam introduces unprecedented tracking challenges in the detector design, as the decay products create a Beam Induced Background (BIB). This project will work to improve the performance of the track reconstruction algorithms used to filter tracks in a muon collider detector system. The project will involve a systematic study of the performance of current tracking algorithms and the creation of a set of benchmark requirements for the algorithms. Additionally, the project may involve porting the tracking algorithms to a software stack that takes advantage of multi-threading capacity and would greatly increase the computational efficiency of the simulations.
mentors:
Simone Pagan Griso (Lawrence Berkeley Lab), Sergo Jindariani (Fermi Lab)
proposal: /assets/pdf/fellows-2023/IRIS024-proposal-Chris-Sellgren.pdf
presentations: >
current_status: >
github-username: chrissellgren
linkedin-profile: https://www.linkedin.com/in/chris-sellgren/

0 comments on commit a87fe0f

Please sign in to comment.