-
Notifications
You must be signed in to change notification settings - Fork 348
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
Added image and page markup file to chrisbranch
- Loading branch information
Chris Sellgren
authored and
Chris Sellgren
committed
Jun 29, 2023
1 parent
165b4d0
commit dce29f8
Showing
2 changed files
with
24 additions
and
0 deletions.
There are no files selected for viewing
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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/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/ |